1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
200
201
202
203
204
205
206
207
208
209
210
211
212
213
214
215
216
217
218
219
220
221
222
223
224
225
226
227
228
229
230
231
232
233
234
235
236
237
238
239
240
241
242
243
244
245
246
247
248
249
250
251
252
253
254
255
256
257
258
259
260
261
262
263
264
265
266
267
268
269
270
271
272
273
274
275
276
277
278
279
280
281
282
283
284
285
286
287
288
289
290
291
292
293
294
295
296
297
298
299
300
301
302
303
304
305
306
307
308
309
310
311
312
313
314
315
316
317
318
319
320
321
322
323
324
325
326
327
328
329
330
331
332
333
334
335
336
337
338
339
340
341
342
343
344
345
346
347
348
349
350
351
352
353
354
355
356
357
358
359
360
361
362
363
364
365
366
367
368
369
370
371
372
373
374
375
376
377
378
379
380
381
382
383
384
385
386
387
388
389
390
391
392
393
394
395
396
397
398
399
400
401
402
403
404
405
406
407
408
409
410
411
412
413
414
415
416
417
418
419
420
421
422
423
424
425
426
427
428
429
430
431
432
433
434
435
436
437
438
439
440
441
442
443
444
445
446
447
448
449
450
451
452
453
454
455
456
457
458
459
460
461
462
463
464
465
466
467
468
469
470
471
472
473
474
475
476
477
478
479
480
481
482
483
484
485
486
487
488
489
490
491
492
493
494
495
496
497
498
499
500
501
502
503
504
505
506
507
508
509
510
511
512
513
514
515
516
517
518
519
520
521
522
523
524
525
526
527
528
529
530
531
532
533
534
535
536
537
538
539
540
541
542
543
544
545
546
547
548
549
550
551
552
553
554
555
556
557
558
559
560
561
562
563
564
565
566
567
568
569
570
571
572
573
574
575
576
577
578
579
580
581
582
583
584
585
586
587
588
589
590
591
592
593
594
595
596
597
598
599
600
601
602
603
604
605
606
607
608
609
610
611
612
613
614
615
616
617
618
619
620
621
622
623
624
625
626
627
628
629
630
631
632
633
634
635
636
637
638
639
640
641
642
643
644
645
646
647
648
649
650
651
652
653
654
655
656
657
658
659
660
661
662
663
664
665
666
667
668
669
670
671
672
673
674
675
676
677
678
679
680
681
682
683
684
685
686
687
688
689
690
691
692
693
694
695
696
697
698
699
700
701
702
703
704
705
706
707
708
709
710
711
712
713
714
715
716
717
718
719
720
721
722
723
724
725
726
727
728
729
730
731
732
733
734
735
736
737
738
739
740
741
742
743
744
745
746
747
748
749
750
751
752
753
754
755
|
<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "http://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
<html xmlns="http://www.w3.org/1999/xhtml">
<head>
<meta http-equiv="Content-Type" content="text/xhtml;charset=UTF-8"/>
<meta http-equiv="X-UA-Compatible" content="IE=9"/>
<meta name="generator" content="Doxygen 1.8.6"/>
<title>ViennaCL - The Vienna Computing Library: viennacl/linalg/detail/ilu/block_ilu.hpp Source File</title>
<link href="tabs.css" rel="stylesheet" type="text/css"/>
<script type="text/javascript" src="jquery.js"></script>
<script type="text/javascript" src="dynsections.js"></script>
<link href="navtree.css" rel="stylesheet" type="text/css"/>
<script type="text/javascript" src="resize.js"></script>
<script type="text/javascript" src="navtree.js"></script>
<script type="text/javascript">
$(document).ready(initResizable);
$(window).load(resizeHeight);
</script>
<link href="search/search.css" rel="stylesheet" type="text/css"/>
<script type="text/javascript" src="search/search.js"></script>
<script type="text/javascript">
$(document).ready(function() { searchBox.OnSelectItem(0); });
</script>
<link href="doxygen.css" rel="stylesheet" type="text/css" />
</head>
<body>
<div id="top"><!-- do not remove this div, it is closed by doxygen! -->
<div id="titlearea">
<table cellspacing="0" cellpadding="0">
<tbody>
<tr style="height: 56px;">
<td style="padding-left: 0.5em;">
<div id="projectname">ViennaCL - The Vienna Computing Library
 <span id="projectnumber">1.7.1</span>
</div>
<div id="projectbrief">Free open-source GPU-accelerated linear algebra and solver library.</div>
</td>
<td> <div id="MSearchBox" class="MSearchBoxInactive">
<span class="left">
<img id="MSearchSelect" src="search/mag_sel.png"
onmouseover="return searchBox.OnSearchSelectShow()"
onmouseout="return searchBox.OnSearchSelectHide()"
alt=""/>
<input type="text" id="MSearchField" value="Search" accesskey="S"
onfocus="searchBox.OnSearchFieldFocus(true)"
onblur="searchBox.OnSearchFieldFocus(false)"
onkeyup="searchBox.OnSearchFieldChange(event)"/>
</span><span class="right">
<a id="MSearchClose" href="javascript:searchBox.CloseResultsWindow()"><img id="MSearchCloseImg" border="0" src="search/close.png" alt=""/></a>
</span>
</div>
</td>
</tr>
</tbody>
</table>
</div>
<!-- end header part -->
<!-- Generated by Doxygen 1.8.6 -->
<script type="text/javascript">
var searchBox = new SearchBox("searchBox", "search",false,'Search');
</script>
</div><!-- top -->
<div id="side-nav" class="ui-resizable side-nav-resizable">
<div id="nav-tree">
<div id="nav-tree-contents">
<div id="nav-sync" class="sync"></div>
</div>
</div>
<div id="splitbar" style="-moz-user-select:none;"
class="ui-resizable-handle">
</div>
</div>
<script type="text/javascript">
$(document).ready(function(){initNavTree('block__ilu_8hpp_source.html','');});
</script>
<div id="doc-content">
<!-- window showing the filter options -->
<div id="MSearchSelectWindow"
onmouseover="return searchBox.OnSearchSelectShow()"
onmouseout="return searchBox.OnSearchSelectHide()"
onkeydown="return searchBox.OnSearchSelectKey(event)">
<a class="SelectItem" href="javascript:void(0)" onclick="searchBox.OnSelectItem(0)"><span class="SelectionMark"> </span>All</a><a class="SelectItem" href="javascript:void(0)" onclick="searchBox.OnSelectItem(1)"><span class="SelectionMark"> </span>Classes</a><a class="SelectItem" href="javascript:void(0)" onclick="searchBox.OnSelectItem(2)"><span class="SelectionMark"> </span>Namespaces</a><a class="SelectItem" href="javascript:void(0)" onclick="searchBox.OnSelectItem(3)"><span class="SelectionMark"> </span>Files</a><a class="SelectItem" href="javascript:void(0)" onclick="searchBox.OnSelectItem(4)"><span class="SelectionMark"> </span>Functions</a><a class="SelectItem" href="javascript:void(0)" onclick="searchBox.OnSelectItem(5)"><span class="SelectionMark"> </span>Variables</a><a class="SelectItem" href="javascript:void(0)" onclick="searchBox.OnSelectItem(6)"><span class="SelectionMark"> </span>Typedefs</a><a class="SelectItem" href="javascript:void(0)" onclick="searchBox.OnSelectItem(7)"><span class="SelectionMark"> </span>Enumerations</a><a class="SelectItem" href="javascript:void(0)" onclick="searchBox.OnSelectItem(8)"><span class="SelectionMark"> </span>Enumerator</a><a class="SelectItem" href="javascript:void(0)" onclick="searchBox.OnSelectItem(9)"><span class="SelectionMark"> </span>Friends</a><a class="SelectItem" href="javascript:void(0)" onclick="searchBox.OnSelectItem(10)"><span class="SelectionMark"> </span>Macros</a><a class="SelectItem" href="javascript:void(0)" onclick="searchBox.OnSelectItem(11)"><span class="SelectionMark"> </span>Pages</a></div>
<!-- iframe showing the search results (closed by default) -->
<div id="MSearchResultsWindow">
<iframe src="javascript:void(0)" frameborder="0"
name="MSearchResults" id="MSearchResults">
</iframe>
</div>
<div class="header">
<div class="headertitle">
<div class="title">block_ilu.hpp</div> </div>
</div><!--header-->
<div class="contents">
<a href="block__ilu_8hpp.html">Go to the documentation of this file.</a><div class="fragment"><div class="line"><a name="l00001"></a><span class="lineno"> 1</span> <span class="preprocessor">#ifndef VIENNACL_LINALG_DETAIL_BLOCK_ILU_HPP_</span></div>
<div class="line"><a name="l00002"></a><span class="lineno"> 2</span> <span class="preprocessor">#define VIENNACL_LINALG_DETAIL_BLOCK_ILU_HPP_</span></div>
<div class="line"><a name="l00003"></a><span class="lineno"> 3</span> </div>
<div class="line"><a name="l00004"></a><span class="lineno"> 4</span> <span class="comment">/* =========================================================================</span></div>
<div class="line"><a name="l00005"></a><span class="lineno"> 5</span> <span class="comment"> Copyright (c) 2010-2016, Institute for Microelectronics,</span></div>
<div class="line"><a name="l00006"></a><span class="lineno"> 6</span> <span class="comment"> Institute for Analysis and Scientific Computing,</span></div>
<div class="line"><a name="l00007"></a><span class="lineno"> 7</span> <span class="comment"> TU Wien.</span></div>
<div class="line"><a name="l00008"></a><span class="lineno"> 8</span> <span class="comment"> Portions of this software are copyright by UChicago Argonne, LLC.</span></div>
<div class="line"><a name="l00009"></a><span class="lineno"> 9</span> <span class="comment"></span></div>
<div class="line"><a name="l00010"></a><span class="lineno"> 10</span> <span class="comment"> -----------------</span></div>
<div class="line"><a name="l00011"></a><span class="lineno"> 11</span> <span class="comment"> ViennaCL - The Vienna Computing Library</span></div>
<div class="line"><a name="l00012"></a><span class="lineno"> 12</span> <span class="comment"> -----------------</span></div>
<div class="line"><a name="l00013"></a><span class="lineno"> 13</span> <span class="comment"></span></div>
<div class="line"><a name="l00014"></a><span class="lineno"> 14</span> <span class="comment"> Project Head: Karl Rupp rupp@iue.tuwien.ac.at</span></div>
<div class="line"><a name="l00015"></a><span class="lineno"> 15</span> <span class="comment"></span></div>
<div class="line"><a name="l00016"></a><span class="lineno"> 16</span> <span class="comment"> (A list of authors and contributors can be found in the manual)</span></div>
<div class="line"><a name="l00017"></a><span class="lineno"> 17</span> <span class="comment"></span></div>
<div class="line"><a name="l00018"></a><span class="lineno"> 18</span> <span class="comment"> License: MIT (X11), see file LICENSE in the base directory</span></div>
<div class="line"><a name="l00019"></a><span class="lineno"> 19</span> <span class="comment">============================================================================= */</span></div>
<div class="line"><a name="l00020"></a><span class="lineno"> 20</span> </div>
<div class="line"><a name="l00025"></a><span class="lineno"> 25</span> <span class="preprocessor">#include <vector></span></div>
<div class="line"><a name="l00026"></a><span class="lineno"> 26</span> <span class="preprocessor">#include <cmath></span></div>
<div class="line"><a name="l00027"></a><span class="lineno"> 27</span> <span class="preprocessor">#include "<a class="code" href="forwards_8h.html">viennacl/forwards.h</a>"</span></div>
<div class="line"><a name="l00028"></a><span class="lineno"> 28</span> <span class="preprocessor">#include "<a class="code" href="tools_8hpp.html">viennacl/tools/tools.hpp</a>"</span></div>
<div class="line"><a name="l00029"></a><span class="lineno"> 29</span> <span class="preprocessor">#include "<a class="code" href="linalg_2detail_2ilu_2common_8hpp.html">viennacl/linalg/detail/ilu/common.hpp</a>"</span></div>
<div class="line"><a name="l00030"></a><span class="lineno"> 30</span> <span class="preprocessor">#include "<a class="code" href="ilu0_8hpp.html">viennacl/linalg/detail/ilu/ilu0.hpp</a>"</span></div>
<div class="line"><a name="l00031"></a><span class="lineno"> 31</span> <span class="preprocessor">#include "<a class="code" href="ilut_8hpp.html">viennacl/linalg/detail/ilu/ilut.hpp</a>"</span></div>
<div class="line"><a name="l00032"></a><span class="lineno"> 32</span> </div>
<div class="line"><a name="l00033"></a><span class="lineno"> 33</span> <span class="preprocessor">#include <map></span></div>
<div class="line"><a name="l00034"></a><span class="lineno"> 34</span> </div>
<div class="line"><a name="l00035"></a><span class="lineno"> 35</span> <span class="keyword">namespace </span>viennacl</div>
<div class="line"><a name="l00036"></a><span class="lineno"> 36</span> {</div>
<div class="line"><a name="l00037"></a><span class="lineno"> 37</span> <span class="keyword">namespace </span>linalg</div>
<div class="line"><a name="l00038"></a><span class="lineno"> 38</span> {</div>
<div class="line"><a name="l00039"></a><span class="lineno"> 39</span> <span class="keyword">namespace </span>detail</div>
<div class="line"><a name="l00040"></a><span class="lineno"> 40</span> {</div>
<div class="line"><a name="l00042"></a><span class="lineno"> 42</span>  <span class="keyword">template</span><<span class="keyword">typename</span> VectorT, <span class="keyword">typename</span> NumericT, <span class="keyword">typename</span> SizeT = vcl_<span class="keywordtype">size_t</span>></div>
<div class="line"><a name="l00043"></a><span class="lineno"><a class="line" href="classviennacl_1_1linalg_1_1detail_1_1ilu__vector__range.html"> 43</a></span>  <span class="keyword">class </span><a class="code" href="classviennacl_1_1linalg_1_1detail_1_1ilu__vector__range.html">ilu_vector_range</a></div>
<div class="line"><a name="l00044"></a><span class="lineno"> 44</span>  {</div>
<div class="line"><a name="l00045"></a><span class="lineno"> 45</span>  <span class="keyword">public</span>:</div>
<div class="line"><a name="l00046"></a><span class="lineno"><a class="line" href="classviennacl_1_1linalg_1_1detail_1_1ilu__vector__range.html#ac0ce8400c9d362d6c4a82c922c4becc0"> 46</a></span>  <a class="code" href="classviennacl_1_1linalg_1_1detail_1_1ilu__vector__range.html#ac0ce8400c9d362d6c4a82c922c4becc0">ilu_vector_range</a>(VectorT & v,</div>
<div class="line"><a name="l00047"></a><span class="lineno"> 47</span>  SizeT start_index,</div>
<div class="line"><a name="l00048"></a><span class="lineno"> 48</span>  SizeT vec_size</div>
<div class="line"><a name="l00049"></a><span class="lineno"> 49</span>  ) : vec_(v), start_(start_index), size_(vec_size) {}</div>
<div class="line"><a name="l00050"></a><span class="lineno"> 50</span> </div>
<div class="line"><a name="l00051"></a><span class="lineno"><a class="line" href="classviennacl_1_1linalg_1_1detail_1_1ilu__vector__range.html#a1fa873fbf369586e1c887988bcb53470"> 51</a></span>  <a class="code" href="tests_2src_2bisect_8cpp.html#a52b5d30a2d7b064678644a3bf49b7f6c">NumericT</a> & <a class="code" href="classviennacl_1_1linalg_1_1detail_1_1ilu__vector__range.html#a1fa873fbf369586e1c887988bcb53470">operator()</a>(SizeT index)</div>
<div class="line"><a name="l00052"></a><span class="lineno"> 52</span>  {</div>
<div class="line"><a name="l00053"></a><span class="lineno"> 53</span>  assert(index < size_ && <span class="keywordtype">bool</span>(<span class="stringliteral">"Index out of bounds!"</span>));</div>
<div class="line"><a name="l00054"></a><span class="lineno"> 54</span>  <span class="keywordflow">return</span> vec_[start_ + index];</div>
<div class="line"><a name="l00055"></a><span class="lineno"> 55</span>  }</div>
<div class="line"><a name="l00056"></a><span class="lineno"> 56</span> </div>
<div class="line"><a name="l00057"></a><span class="lineno"><a class="line" href="classviennacl_1_1linalg_1_1detail_1_1ilu__vector__range.html#a8e8624c728be00af66262ac645efe6e2"> 57</a></span>  <a class="code" href="tests_2src_2bisect_8cpp.html#a52b5d30a2d7b064678644a3bf49b7f6c">NumericT</a> & <a class="code" href="classviennacl_1_1linalg_1_1detail_1_1ilu__vector__range.html#a8e8624c728be00af66262ac645efe6e2">operator[]</a>(SizeT index)</div>
<div class="line"><a name="l00058"></a><span class="lineno"> 58</span>  {</div>
<div class="line"><a name="l00059"></a><span class="lineno"> 59</span>  assert(index < size_ && <span class="keywordtype">bool</span>(<span class="stringliteral">"Index out of bounds!"</span>));</div>
<div class="line"><a name="l00060"></a><span class="lineno"> 60</span>  <span class="keywordflow">return</span> vec_[start_ + index];</div>
<div class="line"><a name="l00061"></a><span class="lineno"> 61</span>  }</div>
<div class="line"><a name="l00062"></a><span class="lineno"> 62</span> </div>
<div class="line"><a name="l00063"></a><span class="lineno"><a class="line" href="classviennacl_1_1linalg_1_1detail_1_1ilu__vector__range.html#ae080f84bff9836383fed4f0b21bee358"> 63</a></span>  SizeT <a class="code" href="classviennacl_1_1linalg_1_1detail_1_1ilu__vector__range.html#ae080f84bff9836383fed4f0b21bee358">size</a>()<span class="keyword"> const </span>{ <span class="keywordflow">return</span> size_; }</div>
<div class="line"><a name="l00064"></a><span class="lineno"> 64</span> </div>
<div class="line"><a name="l00065"></a><span class="lineno"> 65</span>  <span class="keyword">private</span>:</div>
<div class="line"><a name="l00066"></a><span class="lineno"> 66</span>  VectorT & vec_;</div>
<div class="line"><a name="l00067"></a><span class="lineno"> 67</span>  SizeT start_;</div>
<div class="line"><a name="l00068"></a><span class="lineno"> 68</span>  SizeT size_;</div>
<div class="line"><a name="l00069"></a><span class="lineno"> 69</span>  };</div>
<div class="line"><a name="l00070"></a><span class="lineno"> 70</span> </div>
<div class="line"><a name="l00078"></a><span class="lineno"> 78</span>  <span class="keyword">template</span><<span class="keyword">typename</span> NumericT></div>
<div class="line"><a name="l00079"></a><span class="lineno"><a class="line" href="namespaceviennacl_1_1linalg_1_1detail.html#a18ffaee4a350b3fd270f1f8615ce0f54"> 79</a></span>  <span class="keywordtype">void</span> <a class="code" href="namespaceviennacl_1_1linalg_1_1detail.html#a18ffaee4a350b3fd270f1f8615ce0f54">extract_block_matrix</a>(<a class="code" href="classviennacl_1_1compressed__matrix.html">viennacl::compressed_matrix<NumericT></a> <span class="keyword">const</span> & A,</div>
<div class="line"><a name="l00080"></a><span class="lineno"> 80</span>  <a class="code" href="classviennacl_1_1compressed__matrix.html">viennacl::compressed_matrix<NumericT></a> & diagonal_block_A,</div>
<div class="line"><a name="l00081"></a><span class="lineno"> 81</span>  <a class="code" href="namespaceviennacl.html#a98a0afcc513111ffa0bd138f891930df">vcl_size_t</a> start_index,</div>
<div class="line"><a name="l00082"></a><span class="lineno"> 82</span>  <a class="code" href="namespaceviennacl.html#a98a0afcc513111ffa0bd138f891930df">vcl_size_t</a> stop_index</div>
<div class="line"><a name="l00083"></a><span class="lineno"> 83</span>  )</div>
<div class="line"><a name="l00084"></a><span class="lineno"> 84</span>  {</div>
<div class="line"><a name="l00085"></a><span class="lineno"> 85</span>  assert( (A.<a class="code" href="classviennacl_1_1compressed__matrix.html#af71dec61a70e8df4f78a527aa989a106">handle1</a>().<a class="code" href="classviennacl_1_1backend_1_1mem__handle.html#a5951aceb881068a77b4af8825b547ea3">get_active_handle_id</a>() == <a class="code" href="namespaceviennacl.html#a00b40450b6b2fd87aad3527d9b2084b8a427356f0fb1b8d32b28f37e36b272df4">viennacl::MAIN_MEMORY</a>) && <span class="keywordtype">bool</span>(<span class="stringliteral">"System matrix must reside in main memory for ILU0"</span>) );</div>
<div class="line"><a name="l00086"></a><span class="lineno"> 86</span>  assert( (A.<a class="code" href="classviennacl_1_1compressed__matrix.html#a91f5145351151a66f916bdc3901206f2">handle2</a>().<a class="code" href="classviennacl_1_1backend_1_1mem__handle.html#a5951aceb881068a77b4af8825b547ea3">get_active_handle_id</a>() == <a class="code" href="namespaceviennacl.html#a00b40450b6b2fd87aad3527d9b2084b8a427356f0fb1b8d32b28f37e36b272df4">viennacl::MAIN_MEMORY</a>) && <span class="keywordtype">bool</span>(<span class="stringliteral">"System matrix must reside in main memory for ILU0"</span>) );</div>
<div class="line"><a name="l00087"></a><span class="lineno"> 87</span>  assert( (A.<a class="code" href="classviennacl_1_1compressed__matrix.html#a87a0ad5f26983b1c2d24ee302d886562">handle</a>().<a class="code" href="classviennacl_1_1backend_1_1mem__handle.html#a5951aceb881068a77b4af8825b547ea3">get_active_handle_id</a>() == <a class="code" href="namespaceviennacl.html#a00b40450b6b2fd87aad3527d9b2084b8a427356f0fb1b8d32b28f37e36b272df4">viennacl::MAIN_MEMORY</a>) && <span class="keywordtype">bool</span>(<span class="stringliteral">"System matrix must reside in main memory for ILU0"</span>) );</div>
<div class="line"><a name="l00088"></a><span class="lineno"> 88</span> </div>
<div class="line"><a name="l00089"></a><span class="lineno"> 89</span>  <a class="code" href="tests_2src_2bisect_8cpp.html#a52b5d30a2d7b064678644a3bf49b7f6c">NumericT</a> <span class="keyword">const</span> * A_elements = viennacl::linalg::host_based::detail::extract_raw_pointer<NumericT>(A.<a class="code" href="classviennacl_1_1compressed__matrix.html#a87a0ad5f26983b1c2d24ee302d886562">handle</a>());</div>
<div class="line"><a name="l00090"></a><span class="lineno"> 90</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> <span class="keyword">const</span> * A_row_buffer = viennacl::linalg::host_based::detail::extract_raw_pointer<unsigned int>(A.<a class="code" href="classviennacl_1_1compressed__matrix.html#af71dec61a70e8df4f78a527aa989a106">handle1</a>());</div>
<div class="line"><a name="l00091"></a><span class="lineno"> 91</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> <span class="keyword">const</span> * A_col_buffer = viennacl::linalg::host_based::detail::extract_raw_pointer<unsigned int>(A.<a class="code" href="classviennacl_1_1compressed__matrix.html#a91f5145351151a66f916bdc3901206f2">handle2</a>());</div>
<div class="line"><a name="l00092"></a><span class="lineno"> 92</span> </div>
<div class="line"><a name="l00093"></a><span class="lineno"> 93</span>  <a class="code" href="tests_2src_2bisect_8cpp.html#a52b5d30a2d7b064678644a3bf49b7f6c">NumericT</a> * output_elements = viennacl::linalg::host_based::detail::extract_raw_pointer<NumericT>(diagonal_block_A.<a class="code" href="classviennacl_1_1compressed__matrix.html#a87a0ad5f26983b1c2d24ee302d886562">handle</a>());</div>
<div class="line"><a name="l00094"></a><span class="lineno"> 94</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> * output_row_buffer = viennacl::linalg::host_based::detail::extract_raw_pointer<unsigned int>(diagonal_block_A.<a class="code" href="classviennacl_1_1compressed__matrix.html#af71dec61a70e8df4f78a527aa989a106">handle1</a>());</div>
<div class="line"><a name="l00095"></a><span class="lineno"> 95</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> * output_col_buffer = viennacl::linalg::host_based::detail::extract_raw_pointer<unsigned int>(diagonal_block_A.<a class="code" href="classviennacl_1_1compressed__matrix.html#a91f5145351151a66f916bdc3901206f2">handle2</a>());</div>
<div class="line"><a name="l00096"></a><span class="lineno"> 96</span> </div>
<div class="line"><a name="l00097"></a><span class="lineno"> 97</span>  <a class="code" href="namespaceviennacl.html#a98a0afcc513111ffa0bd138f891930df">vcl_size_t</a> output_counter = 0;</div>
<div class="line"><a name="l00098"></a><span class="lineno"> 98</span>  <span class="keywordflow">for</span> (<a class="code" href="namespaceviennacl.html#a98a0afcc513111ffa0bd138f891930df">vcl_size_t</a> <a class="code" href="namespaceviennacl.html#a0a574e6cd04ca0e42298b4ab845700e4">row</a> = start_index; <a class="code" href="namespaceviennacl.html#a0a574e6cd04ca0e42298b4ab845700e4">row</a> < stop_index; ++<a class="code" href="namespaceviennacl.html#a0a574e6cd04ca0e42298b4ab845700e4">row</a>)</div>
<div class="line"><a name="l00099"></a><span class="lineno"> 99</span>  {</div>
<div class="line"><a name="l00100"></a><span class="lineno"> 100</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> buffer_col_start = A_row_buffer[<a class="code" href="namespaceviennacl.html#a0a574e6cd04ca0e42298b4ab845700e4">row</a>];</div>
<div class="line"><a name="l00101"></a><span class="lineno"> 101</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> buffer_col_end = A_row_buffer[<a class="code" href="namespaceviennacl.html#a0a574e6cd04ca0e42298b4ab845700e4">row</a>+1];</div>
<div class="line"><a name="l00102"></a><span class="lineno"> 102</span> </div>
<div class="line"><a name="l00103"></a><span class="lineno"> 103</span>  output_row_buffer[<a class="code" href="namespaceviennacl.html#a0a574e6cd04ca0e42298b4ab845700e4">row</a> - start_index] = <span class="keyword">static_cast<</span><span class="keywordtype">unsigned</span> <span class="keywordtype">int</span><span class="keyword">></span>(output_counter);</div>
<div class="line"><a name="l00104"></a><span class="lineno"> 104</span> </div>
<div class="line"><a name="l00105"></a><span class="lineno"> 105</span>  <span class="keywordflow">for</span> (<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> buf_index = buffer_col_start; buf_index < buffer_col_end; ++buf_index)</div>
<div class="line"><a name="l00106"></a><span class="lineno"> 106</span>  {</div>
<div class="line"><a name="l00107"></a><span class="lineno"> 107</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> col = A_col_buffer[buf_index];</div>
<div class="line"><a name="l00108"></a><span class="lineno"> 108</span>  <span class="keywordflow">if</span> (col < start_index)</div>
<div class="line"><a name="l00109"></a><span class="lineno"> 109</span>  <span class="keywordflow">continue</span>;</div>
<div class="line"><a name="l00110"></a><span class="lineno"> 110</span> </div>
<div class="line"><a name="l00111"></a><span class="lineno"> 111</span>  <span class="keywordflow">if</span> (col >= static_cast<unsigned int>(stop_index))</div>
<div class="line"><a name="l00112"></a><span class="lineno"> 112</span>  <span class="keywordflow">continue</span>;</div>
<div class="line"><a name="l00113"></a><span class="lineno"> 113</span> </div>
<div class="line"><a name="l00114"></a><span class="lineno"> 114</span>  output_col_buffer[output_counter] = <span class="keyword">static_cast<</span><span class="keywordtype">unsigned</span> <span class="keywordtype">int</span><span class="keyword">></span>(col - start_index);</div>
<div class="line"><a name="l00115"></a><span class="lineno"> 115</span>  output_elements[output_counter] = A_elements[buf_index];</div>
<div class="line"><a name="l00116"></a><span class="lineno"> 116</span>  ++output_counter;</div>
<div class="line"><a name="l00117"></a><span class="lineno"> 117</span>  }</div>
<div class="line"><a name="l00118"></a><span class="lineno"> 118</span>  output_row_buffer[<a class="code" href="namespaceviennacl.html#a0a574e6cd04ca0e42298b4ab845700e4">row</a> - start_index + 1] = <span class="keyword">static_cast<</span><span class="keywordtype">unsigned</span> <span class="keywordtype">int</span><span class="keyword">></span>(output_counter);</div>
<div class="line"><a name="l00119"></a><span class="lineno"> 119</span>  }</div>
<div class="line"><a name="l00120"></a><span class="lineno"> 120</span>  }</div>
<div class="line"><a name="l00121"></a><span class="lineno"> 121</span> </div>
<div class="line"><a name="l00122"></a><span class="lineno"> 122</span> } <span class="comment">// namespace detail</span></div>
<div class="line"><a name="l00123"></a><span class="lineno"> 123</span> </div>
<div class="line"><a name="l00124"></a><span class="lineno"> 124</span> </div>
<div class="line"><a name="l00125"></a><span class="lineno"> 125</span> </div>
<div class="line"><a name="l00131"></a><span class="lineno"> 131</span> <span class="keyword">template</span><<span class="keyword">typename</span> MatrixT, <span class="keyword">typename</span> ILUTag></div>
<div class="line"><a name="l00132"></a><span class="lineno"><a class="line" href="classviennacl_1_1linalg_1_1block__ilu__precond.html"> 132</a></span> <span class="keyword">class </span><a class="code" href="classviennacl_1_1linalg_1_1block__ilu__precond.html">block_ilu_precond</a></div>
<div class="line"><a name="l00133"></a><span class="lineno"> 133</span> {</div>
<div class="line"><a name="l00134"></a><span class="lineno"> 134</span> <span class="keyword">typedef</span> <span class="keyword">typename</span> MatrixT::value_type ScalarType;</div>
<div class="line"><a name="l00135"></a><span class="lineno"> 135</span> </div>
<div class="line"><a name="l00136"></a><span class="lineno"> 136</span> <span class="keyword">public</span>:</div>
<div class="line"><a name="l00137"></a><span class="lineno"><a class="line" href="classviennacl_1_1linalg_1_1block__ilu__precond.html#a3e922515d2cf60bedcd448f438987f89"> 137</a></span>  <span class="keyword">typedef</span> std::vector<std::pair<vcl_size_t, vcl_size_t> > <a class="code" href="classviennacl_1_1linalg_1_1block__ilu__precond.html#a3e922515d2cf60bedcd448f438987f89">index_vector_type</a>; <span class="comment">//the pair refers to index range [a, b) of each block</span></div>
<div class="line"><a name="l00138"></a><span class="lineno"> 138</span> </div>
<div class="line"><a name="l00139"></a><span class="lineno"> 139</span> </div>
<div class="line"><a name="l00140"></a><span class="lineno"><a class="line" href="classviennacl_1_1linalg_1_1block__ilu__precond.html#a46979ee009fde37be9733ad39070dfe3"> 140</a></span>  <a class="code" href="classviennacl_1_1linalg_1_1block__ilu__precond.html#a46979ee009fde37be9733ad39070dfe3">block_ilu_precond</a>(MatrixT <span class="keyword">const</span> & mat,</div>
<div class="line"><a name="l00141"></a><span class="lineno"> 141</span>  ILUTag <span class="keyword">const</span> & tag,</div>
<div class="line"><a name="l00142"></a><span class="lineno"> 142</span>  <a class="code" href="namespaceviennacl.html#a98a0afcc513111ffa0bd138f891930df">vcl_size_t</a> num_blocks = 8</div>
<div class="line"><a name="l00143"></a><span class="lineno"> 143</span>  ) : tag_(tag), L_blocks(num_blocks), U_blocks(num_blocks)</div>
<div class="line"><a name="l00144"></a><span class="lineno"> 144</span>  {</div>
<div class="line"><a name="l00145"></a><span class="lineno"> 145</span>  <span class="comment">// Set up vector of block indices:</span></div>
<div class="line"><a name="l00146"></a><span class="lineno"> 146</span>  block_indices_.resize(num_blocks);</div>
<div class="line"><a name="l00147"></a><span class="lineno"> 147</span>  <span class="keywordflow">for</span> (<a class="code" href="namespaceviennacl.html#a98a0afcc513111ffa0bd138f891930df">vcl_size_t</a> i=0; i<num_blocks; ++i)</div>
<div class="line"><a name="l00148"></a><span class="lineno"> 148</span>  {</div>
<div class="line"><a name="l00149"></a><span class="lineno"> 149</span>  <a class="code" href="namespaceviennacl.html#a98a0afcc513111ffa0bd138f891930df">vcl_size_t</a> start_index = ( i * mat.size1()) / num_blocks;</div>
<div class="line"><a name="l00150"></a><span class="lineno"> 150</span>  <a class="code" href="namespaceviennacl.html#a98a0afcc513111ffa0bd138f891930df">vcl_size_t</a> stop_index = ((i+1) * mat.size1()) / num_blocks;</div>
<div class="line"><a name="l00151"></a><span class="lineno"> 151</span> </div>
<div class="line"><a name="l00152"></a><span class="lineno"> 152</span>  block_indices_[i] = std::pair<vcl_size_t, vcl_size_t>(start_index, stop_index);</div>
<div class="line"><a name="l00153"></a><span class="lineno"> 153</span>  }</div>
<div class="line"><a name="l00154"></a><span class="lineno"> 154</span> </div>
<div class="line"><a name="l00155"></a><span class="lineno"> 155</span>  <span class="comment">//initialize preconditioner:</span></div>
<div class="line"><a name="l00156"></a><span class="lineno"> 156</span>  <span class="comment">//std::cout << "Start CPU precond" << std::endl;</span></div>
<div class="line"><a name="l00157"></a><span class="lineno"> 157</span>  init(mat);</div>
<div class="line"><a name="l00158"></a><span class="lineno"> 158</span>  <span class="comment">//std::cout << "End CPU precond" << std::endl;</span></div>
<div class="line"><a name="l00159"></a><span class="lineno"> 159</span>  }</div>
<div class="line"><a name="l00160"></a><span class="lineno"> 160</span> </div>
<div class="line"><a name="l00161"></a><span class="lineno"><a class="line" href="classviennacl_1_1linalg_1_1block__ilu__precond.html#a7bd2b7878629546259fe754eb7f3427c"> 161</a></span>  <a class="code" href="classviennacl_1_1linalg_1_1block__ilu__precond.html#a7bd2b7878629546259fe754eb7f3427c">block_ilu_precond</a>(MatrixT <span class="keyword">const</span> & mat,</div>
<div class="line"><a name="l00162"></a><span class="lineno"> 162</span>  ILUTag <span class="keyword">const</span> & tag,</div>
<div class="line"><a name="l00163"></a><span class="lineno"> 163</span>  <a class="code" href="classviennacl_1_1linalg_1_1block__ilu__precond.html#a3e922515d2cf60bedcd448f438987f89">index_vector_type</a> <span class="keyword">const</span> & block_boundaries</div>
<div class="line"><a name="l00164"></a><span class="lineno"> 164</span>  ) : tag_(tag), block_indices_(block_boundaries), L_blocks(block_boundaries.<a class="code" href="namespaceviennacl_1_1traits.html#aa2344ea20469f55fbc15a8e9526494d0">size</a>()), U_blocks(block_boundaries.<a class="code" href="namespaceviennacl_1_1traits.html#aa2344ea20469f55fbc15a8e9526494d0">size</a>())</div>
<div class="line"><a name="l00165"></a><span class="lineno"> 165</span>  {</div>
<div class="line"><a name="l00166"></a><span class="lineno"> 166</span>  <span class="comment">//initialize preconditioner:</span></div>
<div class="line"><a name="l00167"></a><span class="lineno"> 167</span>  <span class="comment">//std::cout << "Start CPU precond" << std::endl;</span></div>
<div class="line"><a name="l00168"></a><span class="lineno"> 168</span>  init(mat);</div>
<div class="line"><a name="l00169"></a><span class="lineno"> 169</span>  <span class="comment">//std::cout << "End CPU precond" << std::endl;</span></div>
<div class="line"><a name="l00170"></a><span class="lineno"> 170</span>  }</div>
<div class="line"><a name="l00171"></a><span class="lineno"> 171</span> </div>
<div class="line"><a name="l00172"></a><span class="lineno"> 172</span> </div>
<div class="line"><a name="l00173"></a><span class="lineno"> 173</span>  <span class="keyword">template</span><<span class="keyword">typename</span> VectorT></div>
<div class="line"><a name="l00174"></a><span class="lineno"><a class="line" href="classviennacl_1_1linalg_1_1block__ilu__precond.html#a9077e498705909d7ffc15fdb5d05b561"> 174</a></span>  <span class="keywordtype">void</span> <a class="code" href="classviennacl_1_1linalg_1_1block__ilu__precond.html#a9077e498705909d7ffc15fdb5d05b561">apply</a>(VectorT & vec)<span class="keyword"> const</span></div>
<div class="line"><a name="l00175"></a><span class="lineno"> 175</span> <span class="keyword"> </span>{</div>
<div class="line"><a name="l00176"></a><span class="lineno"> 176</span>  <span class="keywordflow">for</span> (<a class="code" href="namespaceviennacl.html#a98a0afcc513111ffa0bd138f891930df">vcl_size_t</a> i=0; i<block_indices_.size(); ++i)</div>
<div class="line"><a name="l00177"></a><span class="lineno"> 177</span>  apply_dispatch(vec, i, ILUTag());</div>
<div class="line"><a name="l00178"></a><span class="lineno"> 178</span>  }</div>
<div class="line"><a name="l00179"></a><span class="lineno"> 179</span> </div>
<div class="line"><a name="l00180"></a><span class="lineno"> 180</span> <span class="keyword">private</span>:</div>
<div class="line"><a name="l00181"></a><span class="lineno"> 181</span>  <span class="keywordtype">void</span> init(MatrixT <span class="keyword">const</span> & A)</div>
<div class="line"><a name="l00182"></a><span class="lineno"> 182</span>  {</div>
<div class="line"><a name="l00183"></a><span class="lineno"> 183</span>  <a class="code" href="classviennacl_1_1context.html">viennacl::context</a> host_context(<a class="code" href="namespaceviennacl.html#a00b40450b6b2fd87aad3527d9b2084b8a427356f0fb1b8d32b28f37e36b272df4">viennacl::MAIN_MEMORY</a>);</div>
<div class="line"><a name="l00184"></a><span class="lineno"> 184</span>  <a class="code" href="classviennacl_1_1compressed__matrix.html">viennacl::compressed_matrix<ScalarType></a> mat(host_context);</div>
<div class="line"><a name="l00185"></a><span class="lineno"> 185</span> </div>
<div class="line"><a name="l00186"></a><span class="lineno"> 186</span>  <a class="code" href="namespaceviennacl.html#a10b7f8cf6b8864a7aa196d670481a453">viennacl::copy</a>(A, mat);</div>
<div class="line"><a name="l00187"></a><span class="lineno"> 187</span> </div>
<div class="line"><a name="l00188"></a><span class="lineno"> 188</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> <span class="keyword">const</span> * row_buffer = viennacl::linalg::host_based::detail::extract_raw_pointer<unsigned int>(mat.handle1());</div>
<div class="line"><a name="l00189"></a><span class="lineno"> 189</span> </div>
<div class="line"><a name="l00190"></a><span class="lineno"> 190</span> <span class="preprocessor">#ifdef VIENNACL_WITH_OPENMP</span></div>
<div class="line"><a name="l00191"></a><span class="lineno"> 191</span> <span class="preprocessor"> #pragma omp parallel for</span></div>
<div class="line"><a name="l00192"></a><span class="lineno"> 192</span> <span class="preprocessor">#endif</span></div>
<div class="line"><a name="l00193"></a><span class="lineno"> 193</span>  <span class="keywordflow">for</span> (<span class="keywordtype">long</span> i2=0; i2<static_cast<long>(block_indices_.size()); ++i2)</div>
<div class="line"><a name="l00194"></a><span class="lineno"> 194</span>  {</div>
<div class="line"><a name="l00195"></a><span class="lineno"> 195</span>  <a class="code" href="namespaceviennacl.html#a98a0afcc513111ffa0bd138f891930df">vcl_size_t</a> i = <span class="keyword">static_cast<</span><a class="code" href="namespaceviennacl.html#a98a0afcc513111ffa0bd138f891930df">vcl_size_t</a><span class="keyword">></span>(i2);</div>
<div class="line"><a name="l00196"></a><span class="lineno"> 196</span>  <span class="comment">// Step 1: Extract blocks</span></div>
<div class="line"><a name="l00197"></a><span class="lineno"> 197</span>  <a class="code" href="namespaceviennacl.html#a98a0afcc513111ffa0bd138f891930df">vcl_size_t</a> block_size = block_indices_[i].second - block_indices_[i].first;</div>
<div class="line"><a name="l00198"></a><span class="lineno"> 198</span>  <a class="code" href="namespaceviennacl.html#a98a0afcc513111ffa0bd138f891930df">vcl_size_t</a> block_nnz = row_buffer[block_indices_[i].second] - row_buffer[block_indices_[i].first];</div>
<div class="line"><a name="l00199"></a><span class="lineno"> 199</span>  <a class="code" href="classviennacl_1_1compressed__matrix.html">viennacl::compressed_matrix<ScalarType></a> mat_block(block_size, block_size, block_nnz, host_context);</div>
<div class="line"><a name="l00200"></a><span class="lineno"> 200</span> </div>
<div class="line"><a name="l00201"></a><span class="lineno"> 201</span>  <a class="code" href="namespaceviennacl_1_1linalg_1_1detail.html#a18ffaee4a350b3fd270f1f8615ce0f54">detail::extract_block_matrix</a>(mat, mat_block, block_indices_[i].first, block_indices_[i].second);</div>
<div class="line"><a name="l00202"></a><span class="lineno"> 202</span> </div>
<div class="line"><a name="l00203"></a><span class="lineno"> 203</span>  <span class="comment">// Step 2: Precondition blocks:</span></div>
<div class="line"><a name="l00204"></a><span class="lineno"> 204</span>  <a class="code" href="namespaceviennacl.html#a87d41d517b3d0daca8b1536e15e6659d">viennacl::switch_memory_context</a>(L_blocks[i], host_context);</div>
<div class="line"><a name="l00205"></a><span class="lineno"> 205</span>  <a class="code" href="namespaceviennacl.html#a87d41d517b3d0daca8b1536e15e6659d">viennacl::switch_memory_context</a>(U_blocks[i], host_context);</div>
<div class="line"><a name="l00206"></a><span class="lineno"> 206</span>  init_dispatch(mat_block, L_blocks[i], U_blocks[i], tag_);</div>
<div class="line"><a name="l00207"></a><span class="lineno"> 207</span>  }</div>
<div class="line"><a name="l00208"></a><span class="lineno"> 208</span> </div>
<div class="line"><a name="l00209"></a><span class="lineno"> 209</span>  }</div>
<div class="line"><a name="l00210"></a><span class="lineno"> 210</span> </div>
<div class="line"><a name="l00211"></a><span class="lineno"> 211</span>  <span class="keywordtype">void</span> init_dispatch(<a class="code" href="classviennacl_1_1compressed__matrix.html">viennacl::compressed_matrix<ScalarType></a> <span class="keyword">const</span> & mat_block,</div>
<div class="line"><a name="l00212"></a><span class="lineno"> 212</span>  <a class="code" href="classviennacl_1_1compressed__matrix.html">viennacl::compressed_matrix<ScalarType></a> & L,</div>
<div class="line"><a name="l00213"></a><span class="lineno"> 213</span>  <a class="code" href="classviennacl_1_1compressed__matrix.html">viennacl::compressed_matrix<ScalarType></a> & U,</div>
<div class="line"><a name="l00214"></a><span class="lineno"> 214</span>  <a class="code" href="classviennacl_1_1linalg_1_1ilu0__tag.html">viennacl::linalg::ilu0_tag</a>)</div>
<div class="line"><a name="l00215"></a><span class="lineno"> 215</span>  {</div>
<div class="line"><a name="l00216"></a><span class="lineno"> 216</span>  (void)U;</div>
<div class="line"><a name="l00217"></a><span class="lineno"> 217</span>  L = mat_block;</div>
<div class="line"><a name="l00218"></a><span class="lineno"> 218</span>  <a class="code" href="namespaceviennacl_1_1linalg.html#ae92ae6061c4ac82fdea8230c9877badc">viennacl::linalg::precondition</a>(L, tag_);</div>
<div class="line"><a name="l00219"></a><span class="lineno"> 219</span>  }</div>
<div class="line"><a name="l00220"></a><span class="lineno"> 220</span> </div>
<div class="line"><a name="l00221"></a><span class="lineno"> 221</span>  <span class="keywordtype">void</span> init_dispatch(<a class="code" href="classviennacl_1_1compressed__matrix.html">viennacl::compressed_matrix<ScalarType></a> <span class="keyword">const</span> & mat_block,</div>
<div class="line"><a name="l00222"></a><span class="lineno"> 222</span>  <a class="code" href="classviennacl_1_1compressed__matrix.html">viennacl::compressed_matrix<ScalarType></a> & L,</div>
<div class="line"><a name="l00223"></a><span class="lineno"> 223</span>  <a class="code" href="classviennacl_1_1compressed__matrix.html">viennacl::compressed_matrix<ScalarType></a> & U,</div>
<div class="line"><a name="l00224"></a><span class="lineno"> 224</span>  <a class="code" href="classviennacl_1_1linalg_1_1ilut__tag.html">viennacl::linalg::ilut_tag</a>)</div>
<div class="line"><a name="l00225"></a><span class="lineno"> 225</span>  {</div>
<div class="line"><a name="l00226"></a><span class="lineno"> 226</span>  L.<a class="code" href="classviennacl_1_1compressed__matrix.html#afcf49945a63836e1edfca536fcd191fb">resize</a>(mat_block.<a class="code" href="classviennacl_1_1compressed__matrix.html#a463cf1739f9cdd387aa185cb574db183">size1</a>(), mat_block.<a class="code" href="classviennacl_1_1compressed__matrix.html#a4fc12fc4abfef4a1426575a2d73f18ab">size2</a>());</div>
<div class="line"><a name="l00227"></a><span class="lineno"> 227</span>  U.<a class="code" href="classviennacl_1_1compressed__matrix.html#afcf49945a63836e1edfca536fcd191fb">resize</a>(mat_block.<a class="code" href="classviennacl_1_1compressed__matrix.html#a463cf1739f9cdd387aa185cb574db183">size1</a>(), mat_block.<a class="code" href="classviennacl_1_1compressed__matrix.html#a4fc12fc4abfef4a1426575a2d73f18ab">size2</a>());</div>
<div class="line"><a name="l00228"></a><span class="lineno"> 228</span>  <a class="code" href="namespaceviennacl_1_1linalg.html#ae92ae6061c4ac82fdea8230c9877badc">viennacl::linalg::precondition</a>(mat_block, L, U, tag_);</div>
<div class="line"><a name="l00229"></a><span class="lineno"> 229</span>  }</div>
<div class="line"><a name="l00230"></a><span class="lineno"> 230</span> </div>
<div class="line"><a name="l00231"></a><span class="lineno"> 231</span>  <span class="keyword">template</span><<span class="keyword">typename</span> VectorT></div>
<div class="line"><a name="l00232"></a><span class="lineno"> 232</span>  <span class="keywordtype">void</span> apply_dispatch(VectorT & vec, <a class="code" href="namespaceviennacl.html#a98a0afcc513111ffa0bd138f891930df">vcl_size_t</a> i, <a class="code" href="classviennacl_1_1linalg_1_1ilu0__tag.html">viennacl::linalg::ilu0_tag</a>)<span class="keyword"> const</span></div>
<div class="line"><a name="l00233"></a><span class="lineno"> 233</span> <span class="keyword"> </span>{</div>
<div class="line"><a name="l00234"></a><span class="lineno"> 234</span>  detail::ilu_vector_range<VectorT, ScalarType> vec_range(vec, block_indices_[i].first, L_blocks[i].<a class="code" href="namespaceviennacl_1_1traits.html#a3658e7c29ac0f60a20cb5871f5b5fd98">size2</a>());</div>
<div class="line"><a name="l00235"></a><span class="lineno"> 235</span> </div>
<div class="line"><a name="l00236"></a><span class="lineno"> 236</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> <span class="keyword">const</span> * row_buffer = viennacl::linalg::host_based::detail::extract_raw_pointer<unsigned int>(L_blocks[i].handle1());</div>
<div class="line"><a name="l00237"></a><span class="lineno"> 237</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> <span class="keyword">const</span> * col_buffer = viennacl::linalg::host_based::detail::extract_raw_pointer<unsigned int>(L_blocks[i].handle2());</div>
<div class="line"><a name="l00238"></a><span class="lineno"> 238</span>  <a class="code" href="fft__1d_8cpp.html#ad5c19ca4f47d3f8ec21232a5af2624e5">ScalarType</a> <span class="keyword">const</span> * elements = viennacl::linalg::host_based::detail::extract_raw_pointer<ScalarType>(L_blocks[i].handle());</div>
<div class="line"><a name="l00239"></a><span class="lineno"> 239</span> </div>
<div class="line"><a name="l00240"></a><span class="lineno"> 240</span>  viennacl::linalg::host_based::detail::csr_inplace_solve<ScalarType>(row_buffer, col_buffer, elements, vec_range, L_blocks[i].size2(), unit_lower_tag());</div>
<div class="line"><a name="l00241"></a><span class="lineno"> 241</span>  viennacl::linalg::host_based::detail::csr_inplace_solve<ScalarType>(row_buffer, col_buffer, elements, vec_range, L_blocks[i].size2(), upper_tag());</div>
<div class="line"><a name="l00242"></a><span class="lineno"> 242</span>  }</div>
<div class="line"><a name="l00243"></a><span class="lineno"> 243</span> </div>
<div class="line"><a name="l00244"></a><span class="lineno"> 244</span>  <span class="keyword">template</span><<span class="keyword">typename</span> VectorT></div>
<div class="line"><a name="l00245"></a><span class="lineno"> 245</span>  <span class="keywordtype">void</span> apply_dispatch(VectorT & vec, <a class="code" href="namespaceviennacl.html#a98a0afcc513111ffa0bd138f891930df">vcl_size_t</a> i, <a class="code" href="classviennacl_1_1linalg_1_1ilut__tag.html">viennacl::linalg::ilut_tag</a>)<span class="keyword"> const</span></div>
<div class="line"><a name="l00246"></a><span class="lineno"> 246</span> <span class="keyword"> </span>{</div>
<div class="line"><a name="l00247"></a><span class="lineno"> 247</span>  detail::ilu_vector_range<VectorT, ScalarType> vec_range(vec, block_indices_[i].first, L_blocks[i].<a class="code" href="namespaceviennacl_1_1traits.html#a3658e7c29ac0f60a20cb5871f5b5fd98">size2</a>());</div>
<div class="line"><a name="l00248"></a><span class="lineno"> 248</span> </div>
<div class="line"><a name="l00249"></a><span class="lineno"> 249</span>  {</div>
<div class="line"><a name="l00250"></a><span class="lineno"> 250</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> <span class="keyword">const</span> * row_buffer = viennacl::linalg::host_based::detail::extract_raw_pointer<unsigned int>(L_blocks[i].handle1());</div>
<div class="line"><a name="l00251"></a><span class="lineno"> 251</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> <span class="keyword">const</span> * col_buffer = viennacl::linalg::host_based::detail::extract_raw_pointer<unsigned int>(L_blocks[i].handle2());</div>
<div class="line"><a name="l00252"></a><span class="lineno"> 252</span>  <a class="code" href="fft__1d_8cpp.html#ad5c19ca4f47d3f8ec21232a5af2624e5">ScalarType</a> <span class="keyword">const</span> * elements = viennacl::linalg::host_based::detail::extract_raw_pointer<ScalarType>(L_blocks[i].handle());</div>
<div class="line"><a name="l00253"></a><span class="lineno"> 253</span> </div>
<div class="line"><a name="l00254"></a><span class="lineno"> 254</span>  viennacl::linalg::host_based::detail::csr_inplace_solve<ScalarType>(row_buffer, col_buffer, elements, vec_range, L_blocks[i].size2(), unit_lower_tag());</div>
<div class="line"><a name="l00255"></a><span class="lineno"> 255</span>  }</div>
<div class="line"><a name="l00256"></a><span class="lineno"> 256</span> </div>
<div class="line"><a name="l00257"></a><span class="lineno"> 257</span>  {</div>
<div class="line"><a name="l00258"></a><span class="lineno"> 258</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> <span class="keyword">const</span> * row_buffer = viennacl::linalg::host_based::detail::extract_raw_pointer<unsigned int>(U_blocks[i].handle1());</div>
<div class="line"><a name="l00259"></a><span class="lineno"> 259</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> <span class="keyword">const</span> * col_buffer = viennacl::linalg::host_based::detail::extract_raw_pointer<unsigned int>(U_blocks[i].handle2());</div>
<div class="line"><a name="l00260"></a><span class="lineno"> 260</span>  <a class="code" href="fft__1d_8cpp.html#ad5c19ca4f47d3f8ec21232a5af2624e5">ScalarType</a> <span class="keyword">const</span> * elements = viennacl::linalg::host_based::detail::extract_raw_pointer<ScalarType>(U_blocks[i].handle());</div>
<div class="line"><a name="l00261"></a><span class="lineno"> 261</span> </div>
<div class="line"><a name="l00262"></a><span class="lineno"> 262</span>  viennacl::linalg::host_based::detail::csr_inplace_solve<ScalarType>(row_buffer, col_buffer, elements, vec_range, U_blocks[i].size2(), upper_tag());</div>
<div class="line"><a name="l00263"></a><span class="lineno"> 263</span>  }</div>
<div class="line"><a name="l00264"></a><span class="lineno"> 264</span>  }</div>
<div class="line"><a name="l00265"></a><span class="lineno"> 265</span> </div>
<div class="line"><a name="l00266"></a><span class="lineno"> 266</span>  ILUTag tag_;</div>
<div class="line"><a name="l00267"></a><span class="lineno"> 267</span>  <a class="code" href="classviennacl_1_1linalg_1_1block__ilu__precond.html#a3e922515d2cf60bedcd448f438987f89">index_vector_type</a> block_indices_;</div>
<div class="line"><a name="l00268"></a><span class="lineno"> 268</span>  std::vector< viennacl::compressed_matrix<ScalarType> > L_blocks;</div>
<div class="line"><a name="l00269"></a><span class="lineno"> 269</span>  std::vector< viennacl::compressed_matrix<ScalarType> > U_blocks;</div>
<div class="line"><a name="l00270"></a><span class="lineno"> 270</span> };</div>
<div class="line"><a name="l00271"></a><span class="lineno"> 271</span> </div>
<div class="line"><a name="l00272"></a><span class="lineno"> 272</span> </div>
<div class="line"><a name="l00273"></a><span class="lineno"> 273</span> </div>
<div class="line"><a name="l00274"></a><span class="lineno"> 274</span> </div>
<div class="line"><a name="l00275"></a><span class="lineno"> 275</span> </div>
<div class="line"><a name="l00280"></a><span class="lineno"> 280</span> <span class="keyword">template</span><<span class="keyword">typename</span> NumericT, <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> AlignmentV, <span class="keyword">typename</span> ILUTagT></div>
<div class="line"><a name="l00281"></a><span class="lineno"><a class="line" href="classviennacl_1_1linalg_1_1block__ilu__precond_3_01compressed__matrix_3_01_numeric_t_00_01_align1f935c0ddb2915c5703380de7539023a.html"> 281</a></span> <span class="keyword">class </span><a class="code" href="classviennacl_1_1linalg_1_1block__ilu__precond.html">block_ilu_precond</a>< <a class="code" href="classviennacl_1_1compressed__matrix.html">compressed_matrix</a><<a class="code" href="tests_2src_2bisect_8cpp.html#a52b5d30a2d7b064678644a3bf49b7f6c">NumericT</a>, AlignmentV>, ILUTagT></div>
<div class="line"><a name="l00282"></a><span class="lineno"> 282</span> {</div>
<div class="line"><a name="l00283"></a><span class="lineno"> 283</span>  <span class="keyword">typedef</span> <a class="code" href="classviennacl_1_1compressed__matrix.html">compressed_matrix<NumericT, AlignmentV></a> <a class="code" href="classviennacl_1_1compressed__matrix.html">MatrixType</a>;</div>
<div class="line"><a name="l00284"></a><span class="lineno"> 284</span> </div>
<div class="line"><a name="l00285"></a><span class="lineno"> 285</span> <span class="keyword">public</span>:</div>
<div class="line"><a name="l00286"></a><span class="lineno"><a class="line" href="classviennacl_1_1linalg_1_1block__ilu__precond_3_01compressed__matrix_3_01_numeric_t_00_01_align1f935c0ddb2915c5703380de7539023a.html#a71d8e7223e975206c82c0f849872e840"> 286</a></span>  <span class="keyword">typedef</span> std::vector<std::pair<vcl_size_t, vcl_size_t> > <a class="code" href="classviennacl_1_1linalg_1_1block__ilu__precond_3_01compressed__matrix_3_01_numeric_t_00_01_align1f935c0ddb2915c5703380de7539023a.html#a71d8e7223e975206c82c0f849872e840">index_vector_type</a>; <span class="comment">//the pair refers to index range [a, b) of each block</span></div>
<div class="line"><a name="l00287"></a><span class="lineno"> 287</span> </div>
<div class="line"><a name="l00288"></a><span class="lineno"> 288</span> </div>
<div class="line"><a name="l00289"></a><span class="lineno"><a class="line" href="classviennacl_1_1linalg_1_1block__ilu__precond_3_01compressed__matrix_3_01_numeric_t_00_01_align1f935c0ddb2915c5703380de7539023a.html#ad363c576927d2bfe834b4cf5fd4ef719"> 289</a></span>  <a class="code" href="classviennacl_1_1linalg_1_1block__ilu__precond_3_01compressed__matrix_3_01_numeric_t_00_01_align1f935c0ddb2915c5703380de7539023a.html#ad363c576927d2bfe834b4cf5fd4ef719">block_ilu_precond</a>(<a class="code" href="classviennacl_1_1compressed__matrix.html">MatrixType</a> <span class="keyword">const</span> & mat,</div>
<div class="line"><a name="l00290"></a><span class="lineno"> 290</span>  ILUTagT <span class="keyword">const</span> & tag,</div>
<div class="line"><a name="l00291"></a><span class="lineno"> 291</span>  <a class="code" href="namespaceviennacl.html#a98a0afcc513111ffa0bd138f891930df">vcl_size_t</a> num_blocks = 8</div>
<div class="line"><a name="l00292"></a><span class="lineno"> 292</span>  ) : tag_(tag),</div>
<div class="line"><a name="l00293"></a><span class="lineno"> 293</span>  block_indices_(num_blocks),</div>
<div class="line"><a name="l00294"></a><span class="lineno"> 294</span>  gpu_block_indices_(),</div>
<div class="line"><a name="l00295"></a><span class="lineno"> 295</span>  gpu_L_trans_(0, 0, viennacl::<a class="code" href="classviennacl_1_1context.html">context</a>(viennacl::<a class="code" href="namespaceviennacl.html#a00b40450b6b2fd87aad3527d9b2084b8a427356f0fb1b8d32b28f37e36b272df4">MAIN_MEMORY</a>)),</div>
<div class="line"><a name="l00296"></a><span class="lineno"> 296</span>  gpu_U_trans_(0, 0, viennacl::<a class="code" href="classviennacl_1_1context.html">context</a>(viennacl::<a class="code" href="namespaceviennacl.html#a00b40450b6b2fd87aad3527d9b2084b8a427356f0fb1b8d32b28f37e36b272df4">MAIN_MEMORY</a>)),</div>
<div class="line"><a name="l00297"></a><span class="lineno"> 297</span>  gpu_D_(mat.<a class="code" href="namespaceviennacl_1_1traits.html#aa756f5d6820722094cae0d8b9bb6d5e2">size1</a>(), viennacl::<a class="code" href="classviennacl_1_1context.html">context</a>(viennacl::<a class="code" href="namespaceviennacl.html#a00b40450b6b2fd87aad3527d9b2084b8a427356f0fb1b8d32b28f37e36b272df4">MAIN_MEMORY</a>)),</div>
<div class="line"><a name="l00298"></a><span class="lineno"> 298</span>  L_blocks_(num_blocks),</div>
<div class="line"><a name="l00299"></a><span class="lineno"> 299</span>  U_blocks_(num_blocks)</div>
<div class="line"><a name="l00300"></a><span class="lineno"> 300</span>  {</div>
<div class="line"><a name="l00301"></a><span class="lineno"> 301</span>  <span class="comment">// Set up vector of block indices:</span></div>
<div class="line"><a name="l00302"></a><span class="lineno"> 302</span>  block_indices_.resize(num_blocks);</div>
<div class="line"><a name="l00303"></a><span class="lineno"> 303</span>  <span class="keywordflow">for</span> (<a class="code" href="namespaceviennacl.html#a98a0afcc513111ffa0bd138f891930df">vcl_size_t</a> i=0; i<num_blocks; ++i)</div>
<div class="line"><a name="l00304"></a><span class="lineno"> 304</span>  {</div>
<div class="line"><a name="l00305"></a><span class="lineno"> 305</span>  <a class="code" href="namespaceviennacl.html#a98a0afcc513111ffa0bd138f891930df">vcl_size_t</a> start_index = ( i * mat.<a class="code" href="classviennacl_1_1compressed__matrix.html#a463cf1739f9cdd387aa185cb574db183">size1</a>()) / num_blocks;</div>
<div class="line"><a name="l00306"></a><span class="lineno"> 306</span>  <a class="code" href="namespaceviennacl.html#a98a0afcc513111ffa0bd138f891930df">vcl_size_t</a> stop_index = ((i+1) * mat.<a class="code" href="classviennacl_1_1compressed__matrix.html#a463cf1739f9cdd387aa185cb574db183">size1</a>()) / num_blocks;</div>
<div class="line"><a name="l00307"></a><span class="lineno"> 307</span> </div>
<div class="line"><a name="l00308"></a><span class="lineno"> 308</span>  block_indices_[i] = std::pair<vcl_size_t, vcl_size_t>(start_index, stop_index);</div>
<div class="line"><a name="l00309"></a><span class="lineno"> 309</span>  }</div>
<div class="line"><a name="l00310"></a><span class="lineno"> 310</span> </div>
<div class="line"><a name="l00311"></a><span class="lineno"> 311</span>  <span class="comment">//initialize preconditioner:</span></div>
<div class="line"><a name="l00312"></a><span class="lineno"> 312</span>  <span class="comment">//std::cout << "Start CPU precond" << std::endl;</span></div>
<div class="line"><a name="l00313"></a><span class="lineno"> 313</span>  init(mat);</div>
<div class="line"><a name="l00314"></a><span class="lineno"> 314</span>  <span class="comment">//std::cout << "End CPU precond" << std::endl;</span></div>
<div class="line"><a name="l00315"></a><span class="lineno"> 315</span>  }</div>
<div class="line"><a name="l00316"></a><span class="lineno"> 316</span> </div>
<div class="line"><a name="l00317"></a><span class="lineno"><a class="line" href="classviennacl_1_1linalg_1_1block__ilu__precond_3_01compressed__matrix_3_01_numeric_t_00_01_align1f935c0ddb2915c5703380de7539023a.html#a94ab4dee534241c822cce8f5ffa232f4"> 317</a></span>  <a class="code" href="classviennacl_1_1linalg_1_1block__ilu__precond_3_01compressed__matrix_3_01_numeric_t_00_01_align1f935c0ddb2915c5703380de7539023a.html#a94ab4dee534241c822cce8f5ffa232f4">block_ilu_precond</a>(<a class="code" href="classviennacl_1_1compressed__matrix.html">MatrixType</a> <span class="keyword">const</span> & mat,</div>
<div class="line"><a name="l00318"></a><span class="lineno"> 318</span>  ILUTagT <span class="keyword">const</span> & tag,</div>
<div class="line"><a name="l00319"></a><span class="lineno"> 319</span>  <a class="code" href="classviennacl_1_1linalg_1_1block__ilu__precond_3_01compressed__matrix_3_01_numeric_t_00_01_align1f935c0ddb2915c5703380de7539023a.html#a71d8e7223e975206c82c0f849872e840">index_vector_type</a> <span class="keyword">const</span> & block_boundaries</div>
<div class="line"><a name="l00320"></a><span class="lineno"> 320</span>  ) : tag_(tag),</div>
<div class="line"><a name="l00321"></a><span class="lineno"> 321</span>  block_indices_(block_boundaries),</div>
<div class="line"><a name="l00322"></a><span class="lineno"> 322</span>  gpu_block_indices_(),</div>
<div class="line"><a name="l00323"></a><span class="lineno"> 323</span>  gpu_L_trans_(0, 0, viennacl::<a class="code" href="classviennacl_1_1context.html">context</a>(viennacl::<a class="code" href="namespaceviennacl.html#a00b40450b6b2fd87aad3527d9b2084b8a427356f0fb1b8d32b28f37e36b272df4">MAIN_MEMORY</a>)),</div>
<div class="line"><a name="l00324"></a><span class="lineno"> 324</span>  gpu_U_trans_(0, 0, viennacl::<a class="code" href="classviennacl_1_1context.html">context</a>(viennacl::<a class="code" href="namespaceviennacl.html#a00b40450b6b2fd87aad3527d9b2084b8a427356f0fb1b8d32b28f37e36b272df4">MAIN_MEMORY</a>)),</div>
<div class="line"><a name="l00325"></a><span class="lineno"> 325</span>  gpu_D_(mat.<a class="code" href="namespaceviennacl_1_1traits.html#aa756f5d6820722094cae0d8b9bb6d5e2">size1</a>(), viennacl::<a class="code" href="classviennacl_1_1context.html">context</a>(viennacl::<a class="code" href="namespaceviennacl.html#a00b40450b6b2fd87aad3527d9b2084b8a427356f0fb1b8d32b28f37e36b272df4">MAIN_MEMORY</a>)),</div>
<div class="line"><a name="l00326"></a><span class="lineno"> 326</span>  L_blocks_(block_boundaries.<a class="code" href="namespaceviennacl_1_1traits.html#aa2344ea20469f55fbc15a8e9526494d0">size</a>()),</div>
<div class="line"><a name="l00327"></a><span class="lineno"> 327</span>  U_blocks_(block_boundaries.<a class="code" href="namespaceviennacl_1_1traits.html#aa2344ea20469f55fbc15a8e9526494d0">size</a>())</div>
<div class="line"><a name="l00328"></a><span class="lineno"> 328</span>  {</div>
<div class="line"><a name="l00329"></a><span class="lineno"> 329</span>  <span class="comment">//initialize preconditioner:</span></div>
<div class="line"><a name="l00330"></a><span class="lineno"> 330</span>  <span class="comment">//std::cout << "Start CPU precond" << std::endl;</span></div>
<div class="line"><a name="l00331"></a><span class="lineno"> 331</span>  init(mat);</div>
<div class="line"><a name="l00332"></a><span class="lineno"> 332</span>  <span class="comment">//std::cout << "End CPU precond" << std::endl;</span></div>
<div class="line"><a name="l00333"></a><span class="lineno"> 333</span>  }</div>
<div class="line"><a name="l00334"></a><span class="lineno"> 334</span> </div>
<div class="line"><a name="l00335"></a><span class="lineno"> 335</span> </div>
<div class="line"><a name="l00336"></a><span class="lineno"><a class="line" href="classviennacl_1_1linalg_1_1block__ilu__precond_3_01compressed__matrix_3_01_numeric_t_00_01_align1f935c0ddb2915c5703380de7539023a.html#afaaca7a80bee42143cf9bb82896a22f0"> 336</a></span>  <span class="keywordtype">void</span> <a class="code" href="classviennacl_1_1linalg_1_1block__ilu__precond_3_01compressed__matrix_3_01_numeric_t_00_01_align1f935c0ddb2915c5703380de7539023a.html#afaaca7a80bee42143cf9bb82896a22f0">apply</a>(<a class="code" href="classviennacl_1_1vector.html">vector<NumericT></a> & vec)<span class="keyword"> const</span></div>
<div class="line"><a name="l00337"></a><span class="lineno"> 337</span> <span class="keyword"> </span>{</div>
<div class="line"><a name="l00338"></a><span class="lineno"> 338</span>  <a class="code" href="namespaceviennacl_1_1linalg_1_1detail.html#a926494a1bd9b3c66def0c860bf564b42">viennacl::linalg::detail::block_inplace_solve</a>(<a class="code" href="namespaceviennacl_1_1linalg.html#ad88c948ebe30524e225cb523fe6f6cd7">trans</a>(gpu_L_trans_), gpu_block_indices_, block_indices_.size(), gpu_D_,</div>
<div class="line"><a name="l00339"></a><span class="lineno"> 339</span>  vec,</div>
<div class="line"><a name="l00340"></a><span class="lineno"> 340</span>  <a class="code" href="structviennacl_1_1linalg_1_1unit__lower__tag.html">viennacl::linalg::unit_lower_tag</a>());</div>
<div class="line"><a name="l00341"></a><span class="lineno"> 341</span> </div>
<div class="line"><a name="l00342"></a><span class="lineno"> 342</span>  <a class="code" href="namespaceviennacl_1_1linalg_1_1detail.html#a926494a1bd9b3c66def0c860bf564b42">viennacl::linalg::detail::block_inplace_solve</a>(<a class="code" href="namespaceviennacl_1_1linalg.html#ad88c948ebe30524e225cb523fe6f6cd7">trans</a>(gpu_U_trans_), gpu_block_indices_, block_indices_.size(), gpu_D_,</div>
<div class="line"><a name="l00343"></a><span class="lineno"> 343</span>  vec,</div>
<div class="line"><a name="l00344"></a><span class="lineno"> 344</span>  <a class="code" href="structviennacl_1_1linalg_1_1upper__tag.html">viennacl::linalg::upper_tag</a>());</div>
<div class="line"><a name="l00345"></a><span class="lineno"> 345</span> </div>
<div class="line"><a name="l00346"></a><span class="lineno"> 346</span>  <span class="comment">//apply_cpu(vec);</span></div>
<div class="line"><a name="l00347"></a><span class="lineno"> 347</span>  }</div>
<div class="line"><a name="l00348"></a><span class="lineno"> 348</span> </div>
<div class="line"><a name="l00349"></a><span class="lineno"> 349</span> </div>
<div class="line"><a name="l00350"></a><span class="lineno"> 350</span> <span class="keyword">private</span>:</div>
<div class="line"><a name="l00351"></a><span class="lineno"> 351</span> </div>
<div class="line"><a name="l00352"></a><span class="lineno"> 352</span>  <span class="keywordtype">void</span> init(MatrixType <span class="keyword">const</span> & A)</div>
<div class="line"><a name="l00353"></a><span class="lineno"> 353</span>  {</div>
<div class="line"><a name="l00354"></a><span class="lineno"> 354</span>  <a class="code" href="classviennacl_1_1context.html">viennacl::context</a> host_context(<a class="code" href="namespaceviennacl.html#a00b40450b6b2fd87aad3527d9b2084b8a427356f0fb1b8d32b28f37e36b272df4">viennacl::MAIN_MEMORY</a>);</div>
<div class="line"><a name="l00355"></a><span class="lineno"> 355</span>  <a class="code" href="classviennacl_1_1compressed__matrix.html">viennacl::compressed_matrix<NumericT></a> mat(host_context);</div>
<div class="line"><a name="l00356"></a><span class="lineno"> 356</span> </div>
<div class="line"><a name="l00357"></a><span class="lineno"> 357</span>  mat = A;</div>
<div class="line"><a name="l00358"></a><span class="lineno"> 358</span> </div>
<div class="line"><a name="l00359"></a><span class="lineno"> 359</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> <span class="keyword">const</span> * row_buffer = viennacl::linalg::host_based::detail::extract_raw_pointer<unsigned int>(mat.handle1());</div>
<div class="line"><a name="l00360"></a><span class="lineno"> 360</span> </div>
<div class="line"><a name="l00361"></a><span class="lineno"> 361</span> <span class="preprocessor">#ifdef VIENNACL_WITH_OPENMP</span></div>
<div class="line"><a name="l00362"></a><span class="lineno"> 362</span> <span class="preprocessor"> #pragma omp parallel for</span></div>
<div class="line"><a name="l00363"></a><span class="lineno"> 363</span> <span class="preprocessor">#endif</span></div>
<div class="line"><a name="l00364"></a><span class="lineno"> 364</span>  <span class="keywordflow">for</span> (<span class="keywordtype">long</span> i=0; i<static_cast<long>(block_indices_.size()); ++i)</div>
<div class="line"><a name="l00365"></a><span class="lineno"> 365</span>  {</div>
<div class="line"><a name="l00366"></a><span class="lineno"> 366</span>  <span class="comment">// Step 1: Extract blocks</span></div>
<div class="line"><a name="l00367"></a><span class="lineno"> 367</span>  <a class="code" href="namespaceviennacl.html#a98a0afcc513111ffa0bd138f891930df">vcl_size_t</a> block_size = block_indices_[<span class="keyword">static_cast<</span><a class="code" href="namespaceviennacl.html#a98a0afcc513111ffa0bd138f891930df">vcl_size_t</a><span class="keyword">></span>(i)].second - block_indices_[static_cast<vcl_size_t>(i)].first;</div>
<div class="line"><a name="l00368"></a><span class="lineno"> 368</span>  <a class="code" href="namespaceviennacl.html#a98a0afcc513111ffa0bd138f891930df">vcl_size_t</a> block_nnz = row_buffer[block_indices_[<span class="keyword">static_cast<</span><a class="code" href="namespaceviennacl.html#a98a0afcc513111ffa0bd138f891930df">vcl_size_t</a><span class="keyword">></span>(i)].second] - row_buffer[block_indices_[static_cast<vcl_size_t>(i)].first];</div>
<div class="line"><a name="l00369"></a><span class="lineno"> 369</span>  <a class="code" href="classviennacl_1_1compressed__matrix.html">viennacl::compressed_matrix<NumericT></a> mat_block(block_size, block_size, block_nnz, host_context);</div>
<div class="line"><a name="l00370"></a><span class="lineno"> 370</span> </div>
<div class="line"><a name="l00371"></a><span class="lineno"> 371</span>  <a class="code" href="namespaceviennacl_1_1linalg_1_1detail.html#a18ffaee4a350b3fd270f1f8615ce0f54">detail::extract_block_matrix</a>(mat, mat_block, block_indices_[static_cast<vcl_size_t>(i)].first, block_indices_[static_cast<vcl_size_t>(i)].second);</div>
<div class="line"><a name="l00372"></a><span class="lineno"> 372</span> </div>
<div class="line"><a name="l00373"></a><span class="lineno"> 373</span>  <span class="comment">// Step 2: Precondition blocks:</span></div>
<div class="line"><a name="l00374"></a><span class="lineno"> 374</span>  <a class="code" href="namespaceviennacl.html#a87d41d517b3d0daca8b1536e15e6659d">viennacl::switch_memory_context</a>(L_blocks_[static_cast<vcl_size_t>(i)], host_context);</div>
<div class="line"><a name="l00375"></a><span class="lineno"> 375</span>  <a class="code" href="namespaceviennacl.html#a87d41d517b3d0daca8b1536e15e6659d">viennacl::switch_memory_context</a>(U_blocks_[static_cast<vcl_size_t>(i)], host_context);</div>
<div class="line"><a name="l00376"></a><span class="lineno"> 376</span>  init_dispatch(mat_block, L_blocks_[static_cast<vcl_size_t>(i)], U_blocks_[static_cast<vcl_size_t>(i)], tag_);</div>
<div class="line"><a name="l00377"></a><span class="lineno"> 377</span>  }</div>
<div class="line"><a name="l00378"></a><span class="lineno"> 378</span> </div>
<div class="line"><a name="l00379"></a><span class="lineno"> 379</span>  <span class="comment">/*</span></div>
<div class="line"><a name="l00380"></a><span class="lineno"> 380</span> <span class="comment"> * copy resulting preconditioner back to GPU:</span></div>
<div class="line"><a name="l00381"></a><span class="lineno"> 381</span> <span class="comment"> */</span></div>
<div class="line"><a name="l00382"></a><span class="lineno"> 382</span>  <a class="code" href="classviennacl_1_1backend_1_1typesafe__host__array.html">viennacl::backend::typesafe_host_array<unsigned int></a> block_indices_uint(gpu_block_indices_, 2 * block_indices_.size());</div>
<div class="line"><a name="l00383"></a><span class="lineno"> 383</span>  <span class="keywordflow">for</span> (<a class="code" href="namespaceviennacl.html#a98a0afcc513111ffa0bd138f891930df">vcl_size_t</a> i=0; i<block_indices_.size(); ++i)</div>
<div class="line"><a name="l00384"></a><span class="lineno"> 384</span>  {</div>
<div class="line"><a name="l00385"></a><span class="lineno"> 385</span>  block_indices_uint.<a class="code" href="classviennacl_1_1backend_1_1typesafe__host__array.html#ac31bfde381eb40e0349678252c444af9">set</a>(2*i, block_indices_[i].first);</div>
<div class="line"><a name="l00386"></a><span class="lineno"> 386</span>  block_indices_uint.set(2*i + 1, block_indices_[i].second);</div>
<div class="line"><a name="l00387"></a><span class="lineno"> 387</span>  }</div>
<div class="line"><a name="l00388"></a><span class="lineno"> 388</span> </div>
<div class="line"><a name="l00389"></a><span class="lineno"> 389</span>  <a class="code" href="namespaceviennacl_1_1backend.html#a1499f19634964e2c7c8aeeefc6206126">viennacl::backend::memory_create</a>(gpu_block_indices_, block_indices_uint.raw_size(), <a class="code" href="namespaceviennacl_1_1traits.html#a6707f5dab8f482170d2046a605f46ef8">viennacl::traits::context</a>(A), block_indices_uint.get());</div>
<div class="line"><a name="l00390"></a><span class="lineno"> 390</span> </div>
<div class="line"><a name="l00391"></a><span class="lineno"> 391</span>  blocks_to_device(A);</div>
<div class="line"><a name="l00392"></a><span class="lineno"> 392</span> </div>
<div class="line"><a name="l00393"></a><span class="lineno"> 393</span>  }</div>
<div class="line"><a name="l00394"></a><span class="lineno"> 394</span> </div>
<div class="line"><a name="l00395"></a><span class="lineno"> 395</span>  <span class="comment">// Copy computed preconditioned blocks to OpenCL device</span></div>
<div class="line"><a name="l00396"></a><span class="lineno"> 396</span>  <span class="keywordtype">void</span> blocks_to_device(MatrixType <span class="keyword">const</span> & A)</div>
<div class="line"><a name="l00397"></a><span class="lineno"> 397</span>  {</div>
<div class="line"><a name="l00398"></a><span class="lineno"> 398</span>  gpu_L_trans_.resize(A.size1(), A.size2());</div>
<div class="line"><a name="l00399"></a><span class="lineno"> 399</span>  gpu_U_trans_.resize(A.size1(), A.size2());</div>
<div class="line"><a name="l00400"></a><span class="lineno"> 400</span>  gpu_D_.resize(A.size1());</div>
<div class="line"><a name="l00401"></a><span class="lineno"> 401</span> </div>
<div class="line"><a name="l00402"></a><span class="lineno"> 402</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> * L_trans_row_buffer = viennacl::linalg::host_based::detail::extract_raw_pointer<unsigned int>(gpu_L_trans_.handle1());</div>
<div class="line"><a name="l00403"></a><span class="lineno"> 403</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> * U_trans_row_buffer = viennacl::linalg::host_based::detail::extract_raw_pointer<unsigned int>(gpu_U_trans_.handle1());</div>
<div class="line"><a name="l00404"></a><span class="lineno"> 404</span> </div>
<div class="line"><a name="l00405"></a><span class="lineno"> 405</span>  <span class="comment">//</span></div>
<div class="line"><a name="l00406"></a><span class="lineno"> 406</span>  <span class="comment">// Count elements per row</span></div>
<div class="line"><a name="l00407"></a><span class="lineno"> 407</span>  <span class="comment">//</span></div>
<div class="line"><a name="l00408"></a><span class="lineno"> 408</span> <span class="preprocessor">#ifdef VIENNACL_WITH_OPENMP</span></div>
<div class="line"><a name="l00409"></a><span class="lineno"> 409</span> <span class="preprocessor"> #pragma omp parallel for</span></div>
<div class="line"><a name="l00410"></a><span class="lineno"> 410</span> <span class="preprocessor">#endif</span></div>
<div class="line"><a name="l00411"></a><span class="lineno"> 411</span>  <span class="keywordflow">for</span> (<span class="keywordtype">long</span> block_index2 = 0; block_index2 < static_cast<long>(L_blocks_.size()); ++block_index2)</div>
<div class="line"><a name="l00412"></a><span class="lineno"> 412</span>  {</div>
<div class="line"><a name="l00413"></a><span class="lineno"> 413</span>  <a class="code" href="namespaceviennacl.html#a98a0afcc513111ffa0bd138f891930df">vcl_size_t</a> block_index = <a class="code" href="namespaceviennacl.html#a98a0afcc513111ffa0bd138f891930df">vcl_size_t</a>(block_index2);</div>
<div class="line"><a name="l00414"></a><span class="lineno"> 414</span> </div>
<div class="line"><a name="l00415"></a><span class="lineno"> 415</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> block_start = <span class="keyword">static_cast<</span><span class="keywordtype">unsigned</span> <span class="keywordtype">int</span><span class="keyword">></span>(block_indices_[block_index].first);</div>
<div class="line"><a name="l00416"></a><span class="lineno"> 416</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> block_stop = <span class="keyword">static_cast<</span><span class="keywordtype">unsigned</span> <span class="keywordtype">int</span><span class="keyword">></span>(block_indices_[block_index].second);</div>
<div class="line"><a name="l00417"></a><span class="lineno"> 417</span> </div>
<div class="line"><a name="l00418"></a><span class="lineno"> 418</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> <span class="keyword">const</span> * L_row_buffer = viennacl::linalg::host_based::detail::extract_raw_pointer<unsigned int>(L_blocks_[block_index].handle1());</div>
<div class="line"><a name="l00419"></a><span class="lineno"> 419</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> <span class="keyword">const</span> * L_col_buffer = viennacl::linalg::host_based::detail::extract_raw_pointer<unsigned int>(L_blocks_[block_index].handle2());</div>
<div class="line"><a name="l00420"></a><span class="lineno"> 420</span> </div>
<div class="line"><a name="l00421"></a><span class="lineno"> 421</span>  <span class="comment">// zero row array of L:</span></div>
<div class="line"><a name="l00422"></a><span class="lineno"> 422</span>  <a class="code" href="namespaceviennacl_1_1traits.html#ac6e0912a2430af1f2834d9d88915efed">std::fill</a>(L_trans_row_buffer + block_start,</div>
<div class="line"><a name="l00423"></a><span class="lineno"> 423</span>  L_trans_row_buffer + block_stop,</div>
<div class="line"><a name="l00424"></a><span class="lineno"> 424</span>  static_cast<unsigned int>(0));</div>
<div class="line"><a name="l00425"></a><span class="lineno"> 425</span> </div>
<div class="line"><a name="l00426"></a><span class="lineno"> 426</span>  <span class="comment">// count number of elements per row:</span></div>
<div class="line"><a name="l00427"></a><span class="lineno"> 427</span>  <span class="keywordflow">for</span> (<a class="code" href="namespaceviennacl.html#a98a0afcc513111ffa0bd138f891930df">vcl_size_t</a> <a class="code" href="namespaceviennacl.html#a0a574e6cd04ca0e42298b4ab845700e4">row</a> = 0; <a class="code" href="namespaceviennacl.html#a0a574e6cd04ca0e42298b4ab845700e4">row</a> < L_blocks_[block_index].size1(); ++<a class="code" href="namespaceviennacl.html#a0a574e6cd04ca0e42298b4ab845700e4">row</a>)</div>
<div class="line"><a name="l00428"></a><span class="lineno"> 428</span>  {</div>
<div class="line"><a name="l00429"></a><span class="lineno"> 429</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> col_start = L_row_buffer[<a class="code" href="namespaceviennacl.html#a0a574e6cd04ca0e42298b4ab845700e4">row</a>];</div>
<div class="line"><a name="l00430"></a><span class="lineno"> 430</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> col_end = L_row_buffer[<a class="code" href="namespaceviennacl.html#a0a574e6cd04ca0e42298b4ab845700e4">row</a>+1];</div>
<div class="line"><a name="l00431"></a><span class="lineno"> 431</span> </div>
<div class="line"><a name="l00432"></a><span class="lineno"> 432</span>  <span class="keywordflow">for</span> (<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> j = col_start; j < col_end; ++j)</div>
<div class="line"><a name="l00433"></a><span class="lineno"> 433</span>  {</div>
<div class="line"><a name="l00434"></a><span class="lineno"> 434</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> col = L_col_buffer[j];</div>
<div class="line"><a name="l00435"></a><span class="lineno"> 435</span>  <span class="keywordflow">if</span> (col < static_cast<unsigned int>(<a class="code" href="namespaceviennacl.html#a0a574e6cd04ca0e42298b4ab845700e4">row</a>))</div>
<div class="line"><a name="l00436"></a><span class="lineno"> 436</span>  L_trans_row_buffer[col + block_start] += 1;</div>
<div class="line"><a name="l00437"></a><span class="lineno"> 437</span>  }</div>
<div class="line"><a name="l00438"></a><span class="lineno"> 438</span>  }</div>
<div class="line"><a name="l00439"></a><span class="lineno"> 439</span> </div>
<div class="line"><a name="l00441"></a><span class="lineno"> 441</span> </div>
<div class="line"><a name="l00442"></a><span class="lineno"> 442</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> <span class="keyword">const</span> * U_row_buffer = viennacl::linalg::host_based::detail::extract_raw_pointer<unsigned int>(U_blocks_[block_index].handle1());</div>
<div class="line"><a name="l00443"></a><span class="lineno"> 443</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> <span class="keyword">const</span> * U_col_buffer = viennacl::linalg::host_based::detail::extract_raw_pointer<unsigned int>(U_blocks_[block_index].handle2());</div>
<div class="line"><a name="l00444"></a><span class="lineno"> 444</span> </div>
<div class="line"><a name="l00445"></a><span class="lineno"> 445</span>  <span class="comment">// zero row array of U:</span></div>
<div class="line"><a name="l00446"></a><span class="lineno"> 446</span>  <a class="code" href="namespaceviennacl_1_1traits.html#ac6e0912a2430af1f2834d9d88915efed">std::fill</a>(U_trans_row_buffer + block_start,</div>
<div class="line"><a name="l00447"></a><span class="lineno"> 447</span>  U_trans_row_buffer + block_stop,</div>
<div class="line"><a name="l00448"></a><span class="lineno"> 448</span>  static_cast<unsigned int>(0));</div>
<div class="line"><a name="l00449"></a><span class="lineno"> 449</span> </div>
<div class="line"><a name="l00450"></a><span class="lineno"> 450</span>  <span class="comment">// count number of elements per row:</span></div>
<div class="line"><a name="l00451"></a><span class="lineno"> 451</span>  <span class="keywordflow">for</span> (<a class="code" href="namespaceviennacl.html#a98a0afcc513111ffa0bd138f891930df">vcl_size_t</a> <a class="code" href="namespaceviennacl.html#a0a574e6cd04ca0e42298b4ab845700e4">row</a> = 0; <a class="code" href="namespaceviennacl.html#a0a574e6cd04ca0e42298b4ab845700e4">row</a> < U_blocks_[block_index].size1(); ++<a class="code" href="namespaceviennacl.html#a0a574e6cd04ca0e42298b4ab845700e4">row</a>)</div>
<div class="line"><a name="l00452"></a><span class="lineno"> 452</span>  {</div>
<div class="line"><a name="l00453"></a><span class="lineno"> 453</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> col_start = U_row_buffer[<a class="code" href="namespaceviennacl.html#a0a574e6cd04ca0e42298b4ab845700e4">row</a>];</div>
<div class="line"><a name="l00454"></a><span class="lineno"> 454</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> col_end = U_row_buffer[<a class="code" href="namespaceviennacl.html#a0a574e6cd04ca0e42298b4ab845700e4">row</a>+1];</div>
<div class="line"><a name="l00455"></a><span class="lineno"> 455</span> </div>
<div class="line"><a name="l00456"></a><span class="lineno"> 456</span>  <span class="keywordflow">for</span> (<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> j = col_start; j < col_end; ++j)</div>
<div class="line"><a name="l00457"></a><span class="lineno"> 457</span>  {</div>
<div class="line"><a name="l00458"></a><span class="lineno"> 458</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> col = U_col_buffer[j];</div>
<div class="line"><a name="l00459"></a><span class="lineno"> 459</span>  <span class="keywordflow">if</span> (col > <a class="code" href="namespaceviennacl.html#a0a574e6cd04ca0e42298b4ab845700e4">row</a>)</div>
<div class="line"><a name="l00460"></a><span class="lineno"> 460</span>  U_trans_row_buffer[col + block_start] += 1;</div>
<div class="line"><a name="l00461"></a><span class="lineno"> 461</span>  }</div>
<div class="line"><a name="l00462"></a><span class="lineno"> 462</span>  }</div>
<div class="line"><a name="l00463"></a><span class="lineno"> 463</span>  }</div>
<div class="line"><a name="l00464"></a><span class="lineno"> 464</span> </div>
<div class="line"><a name="l00465"></a><span class="lineno"> 465</span> </div>
<div class="line"><a name="l00466"></a><span class="lineno"> 466</span>  <span class="comment">//</span></div>
<div class="line"><a name="l00467"></a><span class="lineno"> 467</span>  <span class="comment">// Exclusive scan on row buffer (feel free to add parallelization here)</span></div>
<div class="line"><a name="l00468"></a><span class="lineno"> 468</span>  <span class="comment">//</span></div>
<div class="line"><a name="l00469"></a><span class="lineno"> 469</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> current_value = 0;</div>
<div class="line"><a name="l00470"></a><span class="lineno"> 470</span>  <span class="keywordflow">for</span> (<a class="code" href="namespaceviennacl.html#a98a0afcc513111ffa0bd138f891930df">vcl_size_t</a> i=0; i<gpu_L_trans_.size1(); ++i)</div>
<div class="line"><a name="l00471"></a><span class="lineno"> 471</span>  {</div>
<div class="line"><a name="l00472"></a><span class="lineno"> 472</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> tmp = L_trans_row_buffer[i];</div>
<div class="line"><a name="l00473"></a><span class="lineno"> 473</span>  L_trans_row_buffer[i] = current_value;</div>
<div class="line"><a name="l00474"></a><span class="lineno"> 474</span>  current_value += tmp;</div>
<div class="line"><a name="l00475"></a><span class="lineno"> 475</span>  }</div>
<div class="line"><a name="l00476"></a><span class="lineno"> 476</span>  gpu_L_trans_.reserve(current_value);</div>
<div class="line"><a name="l00477"></a><span class="lineno"> 477</span> </div>
<div class="line"><a name="l00478"></a><span class="lineno"> 478</span>  current_value = 0;</div>
<div class="line"><a name="l00479"></a><span class="lineno"> 479</span>  <span class="keywordflow">for</span> (<a class="code" href="namespaceviennacl.html#a98a0afcc513111ffa0bd138f891930df">vcl_size_t</a> i=0; i<gpu_U_trans_.size1(); ++i)</div>
<div class="line"><a name="l00480"></a><span class="lineno"> 480</span>  {</div>
<div class="line"><a name="l00481"></a><span class="lineno"> 481</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> tmp = U_trans_row_buffer[i];</div>
<div class="line"><a name="l00482"></a><span class="lineno"> 482</span>  U_trans_row_buffer[i] = current_value;</div>
<div class="line"><a name="l00483"></a><span class="lineno"> 483</span>  current_value += tmp;</div>
<div class="line"><a name="l00484"></a><span class="lineno"> 484</span>  }</div>
<div class="line"><a name="l00485"></a><span class="lineno"> 485</span>  gpu_U_trans_.reserve(current_value);</div>
<div class="line"><a name="l00486"></a><span class="lineno"> 486</span> </div>
<div class="line"><a name="l00487"></a><span class="lineno"> 487</span> </div>
<div class="line"><a name="l00488"></a><span class="lineno"> 488</span>  <span class="comment">//</span></div>
<div class="line"><a name="l00489"></a><span class="lineno"> 489</span>  <span class="comment">// Fill with data</span></div>
<div class="line"><a name="l00490"></a><span class="lineno"> 490</span>  <span class="comment">//</span></div>
<div class="line"><a name="l00491"></a><span class="lineno"> 491</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> * L_trans_col_buffer = viennacl::linalg::host_based::detail::extract_raw_pointer<unsigned int>(gpu_L_trans_.handle2());</div>
<div class="line"><a name="l00492"></a><span class="lineno"> 492</span>  <a class="code" href="tests_2src_2bisect_8cpp.html#a52b5d30a2d7b064678644a3bf49b7f6c">NumericT</a> * L_trans_elements = viennacl::linalg::host_based::detail::extract_raw_pointer<NumericT>(gpu_L_trans_.handle());</div>
<div class="line"><a name="l00493"></a><span class="lineno"> 493</span> </div>
<div class="line"><a name="l00494"></a><span class="lineno"> 494</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> * U_trans_col_buffer = viennacl::linalg::host_based::detail::extract_raw_pointer<unsigned int>(gpu_U_trans_.handle2());</div>
<div class="line"><a name="l00495"></a><span class="lineno"> 495</span>  <a class="code" href="tests_2src_2bisect_8cpp.html#a52b5d30a2d7b064678644a3bf49b7f6c">NumericT</a> * U_trans_elements = viennacl::linalg::host_based::detail::extract_raw_pointer<NumericT>(gpu_U_trans_.handle());</div>
<div class="line"><a name="l00496"></a><span class="lineno"> 496</span> </div>
<div class="line"><a name="l00497"></a><span class="lineno"> 497</span>  <a class="code" href="tests_2src_2bisect_8cpp.html#a52b5d30a2d7b064678644a3bf49b7f6c">NumericT</a> * D_elements = viennacl::linalg::host_based::detail::extract_raw_pointer<NumericT>(gpu_D_.handle());</div>
<div class="line"><a name="l00498"></a><span class="lineno"> 498</span> </div>
<div class="line"><a name="l00499"></a><span class="lineno"> 499</span>  std::vector<unsigned int> offset_L(gpu_L_trans_.size1());</div>
<div class="line"><a name="l00500"></a><span class="lineno"> 500</span>  std::vector<unsigned int> offset_U(gpu_U_trans_.size1());</div>
<div class="line"><a name="l00501"></a><span class="lineno"> 501</span> </div>
<div class="line"><a name="l00502"></a><span class="lineno"> 502</span> <span class="preprocessor">#ifdef VIENNACL_WITH_OPENMP</span></div>
<div class="line"><a name="l00503"></a><span class="lineno"> 503</span> <span class="preprocessor"> #pragma omp parallel for</span></div>
<div class="line"><a name="l00504"></a><span class="lineno"> 504</span> <span class="preprocessor">#endif</span></div>
<div class="line"><a name="l00505"></a><span class="lineno"> 505</span>  <span class="keywordflow">for</span> (<span class="keywordtype">long</span> block_index2 = 0; block_index2 < static_cast<long>(L_blocks_.size()); ++block_index2)</div>
<div class="line"><a name="l00506"></a><span class="lineno"> 506</span>  {</div>
<div class="line"><a name="l00507"></a><span class="lineno"> 507</span>  <a class="code" href="namespaceviennacl.html#a98a0afcc513111ffa0bd138f891930df">vcl_size_t</a> block_index = <a class="code" href="namespaceviennacl.html#a98a0afcc513111ffa0bd138f891930df">vcl_size_t</a>(block_index2);</div>
<div class="line"><a name="l00508"></a><span class="lineno"> 508</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> block_start = <span class="keyword">static_cast<</span><span class="keywordtype">unsigned</span> <span class="keywordtype">int</span><span class="keyword">></span>(block_indices_[block_index].first);</div>
<div class="line"><a name="l00509"></a><span class="lineno"> 509</span> </div>
<div class="line"><a name="l00510"></a><span class="lineno"> 510</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> <span class="keyword">const</span> * L_row_buffer = viennacl::linalg::host_based::detail::extract_raw_pointer<unsigned int>(L_blocks_[block_index].handle1());</div>
<div class="line"><a name="l00511"></a><span class="lineno"> 511</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> <span class="keyword">const</span> * L_col_buffer = viennacl::linalg::host_based::detail::extract_raw_pointer<unsigned int>(L_blocks_[block_index].handle2());</div>
<div class="line"><a name="l00512"></a><span class="lineno"> 512</span>  <a class="code" href="tests_2src_2bisect_8cpp.html#a52b5d30a2d7b064678644a3bf49b7f6c">NumericT</a> <span class="keyword">const</span> * L_elements = viennacl::linalg::host_based::detail::extract_raw_pointer<NumericT >(L_blocks_[block_index].handle());</div>
<div class="line"><a name="l00513"></a><span class="lineno"> 513</span> </div>
<div class="line"><a name="l00514"></a><span class="lineno"> 514</span> </div>
<div class="line"><a name="l00515"></a><span class="lineno"> 515</span>  <span class="comment">// write L_trans:</span></div>
<div class="line"><a name="l00516"></a><span class="lineno"> 516</span>  <span class="keywordflow">for</span> (<a class="code" href="namespaceviennacl.html#a98a0afcc513111ffa0bd138f891930df">vcl_size_t</a> <a class="code" href="namespaceviennacl.html#a0a574e6cd04ca0e42298b4ab845700e4">row</a> = 0; <a class="code" href="namespaceviennacl.html#a0a574e6cd04ca0e42298b4ab845700e4">row</a> < L_blocks_[block_index].size1(); ++<a class="code" href="namespaceviennacl.html#a0a574e6cd04ca0e42298b4ab845700e4">row</a>)</div>
<div class="line"><a name="l00517"></a><span class="lineno"> 517</span>  {</div>
<div class="line"><a name="l00518"></a><span class="lineno"> 518</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> col_start = L_row_buffer[<a class="code" href="namespaceviennacl.html#a0a574e6cd04ca0e42298b4ab845700e4">row</a>];</div>
<div class="line"><a name="l00519"></a><span class="lineno"> 519</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> col_end = L_row_buffer[<a class="code" href="namespaceviennacl.html#a0a574e6cd04ca0e42298b4ab845700e4">row</a>+1];</div>
<div class="line"><a name="l00520"></a><span class="lineno"> 520</span> </div>
<div class="line"><a name="l00521"></a><span class="lineno"> 521</span>  <span class="keywordflow">for</span> (<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> j = col_start; j < col_end; ++j)</div>
<div class="line"><a name="l00522"></a><span class="lineno"> 522</span>  {</div>
<div class="line"><a name="l00523"></a><span class="lineno"> 523</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> col = L_col_buffer[j];</div>
<div class="line"><a name="l00524"></a><span class="lineno"> 524</span>  <span class="keywordflow">if</span> (col < <a class="code" href="namespaceviennacl.html#a0a574e6cd04ca0e42298b4ab845700e4">row</a>)</div>
<div class="line"><a name="l00525"></a><span class="lineno"> 525</span>  {</div>
<div class="line"><a name="l00526"></a><span class="lineno"> 526</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> row_trans = col + block_start;</div>
<div class="line"><a name="l00527"></a><span class="lineno"> 527</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> k = L_trans_row_buffer[row_trans] + offset_L[row_trans];</div>
<div class="line"><a name="l00528"></a><span class="lineno"> 528</span>  offset_L[row_trans] += 1;</div>
<div class="line"><a name="l00529"></a><span class="lineno"> 529</span> </div>
<div class="line"><a name="l00530"></a><span class="lineno"> 530</span>  L_trans_col_buffer[k] = <span class="keyword">static_cast<</span><span class="keywordtype">unsigned</span> <span class="keywordtype">int</span><span class="keyword">></span>(<a class="code" href="namespaceviennacl.html#a0a574e6cd04ca0e42298b4ab845700e4">row</a>) + block_start;</div>
<div class="line"><a name="l00531"></a><span class="lineno"> 531</span>  L_trans_elements[k] = L_elements[j];</div>
<div class="line"><a name="l00532"></a><span class="lineno"> 532</span>  }</div>
<div class="line"><a name="l00533"></a><span class="lineno"> 533</span>  }</div>
<div class="line"><a name="l00534"></a><span class="lineno"> 534</span>  }</div>
<div class="line"><a name="l00535"></a><span class="lineno"> 535</span> </div>
<div class="line"><a name="l00536"></a><span class="lineno"> 536</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> <span class="keyword">const</span> * U_row_buffer = viennacl::linalg::host_based::detail::extract_raw_pointer<unsigned int>(U_blocks_[block_index].handle1());</div>
<div class="line"><a name="l00537"></a><span class="lineno"> 537</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> <span class="keyword">const</span> * U_col_buffer = viennacl::linalg::host_based::detail::extract_raw_pointer<unsigned int>(U_blocks_[block_index].handle2());</div>
<div class="line"><a name="l00538"></a><span class="lineno"> 538</span>  <a class="code" href="tests_2src_2bisect_8cpp.html#a52b5d30a2d7b064678644a3bf49b7f6c">NumericT</a> <span class="keyword">const</span> * U_elements = viennacl::linalg::host_based::detail::extract_raw_pointer<NumericT >(U_blocks_[block_index].handle());</div>
<div class="line"><a name="l00539"></a><span class="lineno"> 539</span> </div>
<div class="line"><a name="l00540"></a><span class="lineno"> 540</span>  <span class="comment">// write U_trans and D:</span></div>
<div class="line"><a name="l00541"></a><span class="lineno"> 541</span>  <span class="keywordflow">for</span> (<a class="code" href="namespaceviennacl.html#a98a0afcc513111ffa0bd138f891930df">vcl_size_t</a> <a class="code" href="namespaceviennacl.html#a0a574e6cd04ca0e42298b4ab845700e4">row</a> = 0; <a class="code" href="namespaceviennacl.html#a0a574e6cd04ca0e42298b4ab845700e4">row</a> < U_blocks_[block_index].size1(); ++<a class="code" href="namespaceviennacl.html#a0a574e6cd04ca0e42298b4ab845700e4">row</a>)</div>
<div class="line"><a name="l00542"></a><span class="lineno"> 542</span>  {</div>
<div class="line"><a name="l00543"></a><span class="lineno"> 543</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> col_start = U_row_buffer[<a class="code" href="namespaceviennacl.html#a0a574e6cd04ca0e42298b4ab845700e4">row</a>];</div>
<div class="line"><a name="l00544"></a><span class="lineno"> 544</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> col_end = U_row_buffer[<a class="code" href="namespaceviennacl.html#a0a574e6cd04ca0e42298b4ab845700e4">row</a>+1];</div>
<div class="line"><a name="l00545"></a><span class="lineno"> 545</span> </div>
<div class="line"><a name="l00546"></a><span class="lineno"> 546</span>  <span class="keywordflow">for</span> (<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> j = col_start; j < col_end; ++j)</div>
<div class="line"><a name="l00547"></a><span class="lineno"> 547</span>  {</div>
<div class="line"><a name="l00548"></a><span class="lineno"> 548</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> row_trans = U_col_buffer[j] + block_start;</div>
<div class="line"><a name="l00549"></a><span class="lineno"> 549</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> k = U_trans_row_buffer[row_trans] + offset_U[row_trans];</div>
<div class="line"><a name="l00550"></a><span class="lineno"> 550</span> </div>
<div class="line"><a name="l00551"></a><span class="lineno"> 551</span>  <span class="keywordflow">if</span> (row_trans == <a class="code" href="namespaceviennacl.html#a0a574e6cd04ca0e42298b4ab845700e4">row</a> + block_start) <span class="comment">// entry for D</span></div>
<div class="line"><a name="l00552"></a><span class="lineno"> 552</span>  {</div>
<div class="line"><a name="l00553"></a><span class="lineno"> 553</span>  D_elements[row_trans] = U_elements[j];</div>
<div class="line"><a name="l00554"></a><span class="lineno"> 554</span>  }</div>
<div class="line"><a name="l00555"></a><span class="lineno"> 555</span>  <span class="keywordflow">else</span> <span class="keywordflow">if</span> (row_trans > <a class="code" href="namespaceviennacl.html#a0a574e6cd04ca0e42298b4ab845700e4">row</a> + block_start) <span class="comment">//entry for U</span></div>
<div class="line"><a name="l00556"></a><span class="lineno"> 556</span>  {</div>
<div class="line"><a name="l00557"></a><span class="lineno"> 557</span>  offset_U[row_trans] += 1;</div>
<div class="line"><a name="l00558"></a><span class="lineno"> 558</span> </div>
<div class="line"><a name="l00559"></a><span class="lineno"> 559</span>  U_trans_col_buffer[k] = <span class="keyword">static_cast<</span><span class="keywordtype">unsigned</span> <span class="keywordtype">int</span><span class="keyword">></span>(<a class="code" href="namespaceviennacl.html#a0a574e6cd04ca0e42298b4ab845700e4">row</a>) + block_start;</div>
<div class="line"><a name="l00560"></a><span class="lineno"> 560</span>  U_trans_elements[k] = U_elements[j];</div>
<div class="line"><a name="l00561"></a><span class="lineno"> 561</span>  }</div>
<div class="line"><a name="l00562"></a><span class="lineno"> 562</span>  }</div>
<div class="line"><a name="l00563"></a><span class="lineno"> 563</span>  }</div>
<div class="line"><a name="l00564"></a><span class="lineno"> 564</span> </div>
<div class="line"><a name="l00565"></a><span class="lineno"> 565</span>  }</div>
<div class="line"><a name="l00566"></a><span class="lineno"> 566</span> </div>
<div class="line"><a name="l00567"></a><span class="lineno"> 567</span>  <span class="comment">//</span></div>
<div class="line"><a name="l00568"></a><span class="lineno"> 568</span>  <span class="comment">// Send to destination device:</span></div>
<div class="line"><a name="l00569"></a><span class="lineno"> 569</span>  <span class="comment">//</span></div>
<div class="line"><a name="l00570"></a><span class="lineno"> 570</span>  <a class="code" href="namespaceviennacl.html#a87d41d517b3d0daca8b1536e15e6659d">viennacl::switch_memory_context</a>(gpu_L_trans_, <a class="code" href="namespaceviennacl_1_1traits.html#a6707f5dab8f482170d2046a605f46ef8">viennacl::traits::context</a>(A));</div>
<div class="line"><a name="l00571"></a><span class="lineno"> 571</span>  <a class="code" href="namespaceviennacl.html#a87d41d517b3d0daca8b1536e15e6659d">viennacl::switch_memory_context</a>(gpu_U_trans_, <a class="code" href="namespaceviennacl_1_1traits.html#a6707f5dab8f482170d2046a605f46ef8">viennacl::traits::context</a>(A));</div>
<div class="line"><a name="l00572"></a><span class="lineno"> 572</span>  <a class="code" href="namespaceviennacl.html#a87d41d517b3d0daca8b1536e15e6659d">viennacl::switch_memory_context</a>(gpu_D_, <a class="code" href="namespaceviennacl_1_1traits.html#a6707f5dab8f482170d2046a605f46ef8">viennacl::traits::context</a>(A));</div>
<div class="line"><a name="l00573"></a><span class="lineno"> 573</span>  }</div>
<div class="line"><a name="l00574"></a><span class="lineno"> 574</span> </div>
<div class="line"><a name="l00575"></a><span class="lineno"> 575</span>  <span class="keywordtype">void</span> init_dispatch(<a class="code" href="classviennacl_1_1compressed__matrix.html">viennacl::compressed_matrix<NumericT></a> <span class="keyword">const</span> & mat_block,</div>
<div class="line"><a name="l00576"></a><span class="lineno"> 576</span>  <a class="code" href="classviennacl_1_1compressed__matrix.html">viennacl::compressed_matrix<NumericT></a> & L,</div>
<div class="line"><a name="l00577"></a><span class="lineno"> 577</span>  <a class="code" href="classviennacl_1_1compressed__matrix.html">viennacl::compressed_matrix<NumericT></a> & U,</div>
<div class="line"><a name="l00578"></a><span class="lineno"> 578</span>  <a class="code" href="classviennacl_1_1linalg_1_1ilu0__tag.html">viennacl::linalg::ilu0_tag</a>)</div>
<div class="line"><a name="l00579"></a><span class="lineno"> 579</span>  {</div>
<div class="line"><a name="l00580"></a><span class="lineno"> 580</span>  L = mat_block;</div>
<div class="line"><a name="l00581"></a><span class="lineno"> 581</span>  <a class="code" href="namespaceviennacl_1_1linalg.html#ae92ae6061c4ac82fdea8230c9877badc">viennacl::linalg::precondition</a>(L, tag_);</div>
<div class="line"><a name="l00582"></a><span class="lineno"> 582</span>  U = L; <span class="comment">// fairly poor workaround...</span></div>
<div class="line"><a name="l00583"></a><span class="lineno"> 583</span>  }</div>
<div class="line"><a name="l00584"></a><span class="lineno"> 584</span> </div>
<div class="line"><a name="l00585"></a><span class="lineno"> 585</span>  <span class="keywordtype">void</span> init_dispatch(<a class="code" href="classviennacl_1_1compressed__matrix.html">viennacl::compressed_matrix<NumericT></a> <span class="keyword">const</span> & mat_block,</div>
<div class="line"><a name="l00586"></a><span class="lineno"> 586</span>  <a class="code" href="classviennacl_1_1compressed__matrix.html">viennacl::compressed_matrix<NumericT></a> & L,</div>
<div class="line"><a name="l00587"></a><span class="lineno"> 587</span>  <a class="code" href="classviennacl_1_1compressed__matrix.html">viennacl::compressed_matrix<NumericT></a> & U,</div>
<div class="line"><a name="l00588"></a><span class="lineno"> 588</span>  <a class="code" href="classviennacl_1_1linalg_1_1ilut__tag.html">viennacl::linalg::ilut_tag</a>)</div>
<div class="line"><a name="l00589"></a><span class="lineno"> 589</span>  {</div>
<div class="line"><a name="l00590"></a><span class="lineno"> 590</span>  L.<a class="code" href="classviennacl_1_1compressed__matrix.html#afcf49945a63836e1edfca536fcd191fb">resize</a>(mat_block.<a class="code" href="classviennacl_1_1compressed__matrix.html#a463cf1739f9cdd387aa185cb574db183">size1</a>(), mat_block.<a class="code" href="classviennacl_1_1compressed__matrix.html#a4fc12fc4abfef4a1426575a2d73f18ab">size2</a>());</div>
<div class="line"><a name="l00591"></a><span class="lineno"> 591</span>  U.<a class="code" href="classviennacl_1_1compressed__matrix.html#afcf49945a63836e1edfca536fcd191fb">resize</a>(mat_block.<a class="code" href="classviennacl_1_1compressed__matrix.html#a463cf1739f9cdd387aa185cb574db183">size1</a>(), mat_block.<a class="code" href="classviennacl_1_1compressed__matrix.html#a4fc12fc4abfef4a1426575a2d73f18ab">size2</a>());</div>
<div class="line"><a name="l00592"></a><span class="lineno"> 592</span>  <a class="code" href="namespaceviennacl_1_1linalg.html#ae92ae6061c4ac82fdea8230c9877badc">viennacl::linalg::precondition</a>(mat_block, L, U, tag_);</div>
<div class="line"><a name="l00593"></a><span class="lineno"> 593</span>  }</div>
<div class="line"><a name="l00594"></a><span class="lineno"> 594</span> </div>
<div class="line"><a name="l00595"></a><span class="lineno"> 595</span> </div>
<div class="line"><a name="l00596"></a><span class="lineno"> 596</span>  ILUTagT tag_;</div>
<div class="line"><a name="l00597"></a><span class="lineno"> 597</span>  <a class="code" href="classviennacl_1_1linalg_1_1block__ilu__precond.html#a3e922515d2cf60bedcd448f438987f89">index_vector_type</a> block_indices_;</div>
<div class="line"><a name="l00598"></a><span class="lineno"> 598</span>  <a class="code" href="classviennacl_1_1backend_1_1mem__handle.html">viennacl::backend::mem_handle</a> gpu_block_indices_;</div>
<div class="line"><a name="l00599"></a><span class="lineno"> 599</span>  <a class="code" href="classviennacl_1_1compressed__matrix.html">viennacl::compressed_matrix<NumericT></a> gpu_L_trans_;</div>
<div class="line"><a name="l00600"></a><span class="lineno"> 600</span>  <a class="code" href="classviennacl_1_1compressed__matrix.html">viennacl::compressed_matrix<NumericT></a> gpu_U_trans_;</div>
<div class="line"><a name="l00601"></a><span class="lineno"> 601</span>  <a class="code" href="classviennacl_1_1vector.html">viennacl::vector<NumericT></a> gpu_D_;</div>
<div class="line"><a name="l00602"></a><span class="lineno"> 602</span> </div>
<div class="line"><a name="l00603"></a><span class="lineno"> 603</span>  std::vector<MatrixType> L_blocks_;</div>
<div class="line"><a name="l00604"></a><span class="lineno"> 604</span>  std::vector<MatrixType> U_blocks_;</div>
<div class="line"><a name="l00605"></a><span class="lineno"> 605</span> };</div>
<div class="line"><a name="l00606"></a><span class="lineno"> 606</span> </div>
<div class="line"><a name="l00607"></a><span class="lineno"> 607</span> </div>
<div class="line"><a name="l00608"></a><span class="lineno"> 608</span> }</div>
<div class="line"><a name="l00609"></a><span class="lineno"> 609</span> }</div>
<div class="line"><a name="l00610"></a><span class="lineno"> 610</span> </div>
<div class="line"><a name="l00611"></a><span class="lineno"> 611</span> </div>
<div class="line"><a name="l00612"></a><span class="lineno"> 612</span> </div>
<div class="line"><a name="l00613"></a><span class="lineno"> 613</span> </div>
<div class="line"><a name="l00614"></a><span class="lineno"> 614</span> <span class="preprocessor">#endif</span></div>
<div class="line"><a name="l00615"></a><span class="lineno"> 615</span> </div>
<div class="line"><a name="l00616"></a><span class="lineno"> 616</span> </div>
<div class="line"><a name="l00617"></a><span class="lineno"> 617</span> </div>
<div class="ttc" id="classviennacl_1_1compressed__matrix_html_a4fc12fc4abfef4a1426575a2d73f18ab"><div class="ttname"><a href="classviennacl_1_1compressed__matrix.html#a4fc12fc4abfef4a1426575a2d73f18ab">viennacl::compressed_matrix::size2</a></div><div class="ttdeci">const vcl_size_t & size2() const </div><div class="ttdoc">Returns the number of columns. </div><div class="ttdef"><b>Definition:</b> <a href="compressed__matrix_8hpp_source.html#l00929">compressed_matrix.hpp:929</a></div></div>
<div class="ttc" id="namespaceviennacl_1_1traits_html_ac6e0912a2430af1f2834d9d88915efed"><div class="ttname"><a href="namespaceviennacl_1_1traits.html#ac6e0912a2430af1f2834d9d88915efed">viennacl::traits::fill</a></div><div class="ttdeci">void fill(MatrixType &matrix, vcl_size_t row_index, vcl_size_t col_index, NumericT value)</div><div class="ttdoc">Generic filler routine for setting an entry of a matrix to a particular value. </div><div class="ttdef"><b>Definition:</b> <a href="fill_8hpp_source.html#l00046">fill.hpp:46</a></div></div>
<div class="ttc" id="classviennacl_1_1backend_1_1typesafe__host__array_html"><div class="ttname"><a href="classviennacl_1_1backend_1_1typesafe__host__array.html">viennacl::backend::typesafe_host_array</a></div><div class="ttdoc">Helper class implementing an array on the host. Default case: No conversion necessary. </div><div class="ttdef"><b>Definition:</b> <a href="backend_2util_8hpp_source.html#l00092">util.hpp:92</a></div></div>
<div class="ttc" id="classviennacl_1_1compressed__matrix_html_a463cf1739f9cdd387aa185cb574db183"><div class="ttname"><a href="classviennacl_1_1compressed__matrix.html#a463cf1739f9cdd387aa185cb574db183">viennacl::compressed_matrix::size1</a></div><div class="ttdeci">const vcl_size_t & size1() const </div><div class="ttdoc">Returns the number of rows. </div><div class="ttdef"><b>Definition:</b> <a href="compressed__matrix_8hpp_source.html#l00927">compressed_matrix.hpp:927</a></div></div>
<div class="ttc" id="classviennacl_1_1linalg_1_1detail_1_1ilu__vector__range_html_a8e8624c728be00af66262ac645efe6e2"><div class="ttname"><a href="classviennacl_1_1linalg_1_1detail_1_1ilu__vector__range.html#a8e8624c728be00af66262ac645efe6e2">viennacl::linalg::detail::ilu_vector_range::operator[]</a></div><div class="ttdeci">NumericT & operator[](SizeT index)</div><div class="ttdef"><b>Definition:</b> <a href="block__ilu_8hpp_source.html#l00057">block_ilu.hpp:57</a></div></div>
<div class="ttc" id="tools_8hpp_html"><div class="ttname"><a href="tools_8hpp.html">tools.hpp</a></div><div class="ttdoc">Various little tools used here and there in ViennaCL. </div></div>
<div class="ttc" id="namespaceviennacl_1_1traits_html_aa756f5d6820722094cae0d8b9bb6d5e2"><div class="ttname"><a href="namespaceviennacl_1_1traits.html#aa756f5d6820722094cae0d8b9bb6d5e2">viennacl::traits::size1</a></div><div class="ttdeci">vcl_size_t size1(MatrixType const &mat)</div><div class="ttdoc">Generic routine for obtaining the number of rows of a matrix (ViennaCL, uBLAS, etc.) </div><div class="ttdef"><b>Definition:</b> <a href="size_8hpp_source.html#l00163">size.hpp:163</a></div></div>
<div class="ttc" id="classviennacl_1_1linalg_1_1ilu0__tag_html"><div class="ttname"><a href="classviennacl_1_1linalg_1_1ilu0__tag.html">viennacl::linalg::ilu0_tag</a></div><div class="ttdoc">A tag for incomplete LU factorization with static pattern (ILU0) </div><div class="ttdef"><b>Definition:</b> <a href="ilu0_8hpp_source.html#l00058">ilu0.hpp:58</a></div></div>
<div class="ttc" id="namespaceviennacl_1_1linalg_html_ae92ae6061c4ac82fdea8230c9877badc"><div class="ttname"><a href="namespaceviennacl_1_1linalg.html#ae92ae6061c4ac82fdea8230c9877badc">viennacl::linalg::precondition</a></div><div class="ttdeci">void precondition(viennacl::compressed_matrix< NumericT > &A, ilu0_tag const &)</div><div class="ttdoc">Implementation of a ILU-preconditioner with static pattern. Optimized version for CSR matrices...</div><div class="ttdef"><b>Definition:</b> <a href="ilu0_8hpp_source.html#l00078">ilu0.hpp:78</a></div></div>
<div class="ttc" id="forwards_8h_html"><div class="ttname"><a href="forwards_8h.html">forwards.h</a></div><div class="ttdoc">This file provides the forward declarations for the main types used within ViennaCL. </div></div>
<div class="ttc" id="ilu0_8hpp_html"><div class="ttname"><a href="ilu0_8hpp.html">ilu0.hpp</a></div><div class="ttdoc">Implementations of incomplete factorization preconditioners with static nonzero pattern. </div></div>
<div class="ttc" id="classviennacl_1_1linalg_1_1block__ilu__precond_html"><div class="ttname"><a href="classviennacl_1_1linalg_1_1block__ilu__precond.html">viennacl::linalg::block_ilu_precond</a></div><div class="ttdoc">A block ILU preconditioner class, can be supplied to solve()-routines. </div><div class="ttdef"><b>Definition:</b> <a href="block__ilu_8hpp_source.html#l00132">block_ilu.hpp:132</a></div></div>
<div class="ttc" id="namespaceviennacl_1_1traits_html_a3658e7c29ac0f60a20cb5871f5b5fd98"><div class="ttname"><a href="namespaceviennacl_1_1traits.html#a3658e7c29ac0f60a20cb5871f5b5fd98">viennacl::traits::size2</a></div><div class="ttdeci">result_of::size_type< MatrixType >::type size2(MatrixType const &mat)</div><div class="ttdoc">Generic routine for obtaining the number of columns of a matrix (ViennaCL, uBLAS, etc...</div><div class="ttdef"><b>Definition:</b> <a href="size_8hpp_source.html#l00201">size.hpp:201</a></div></div>
<div class="ttc" id="classviennacl_1_1compressed__matrix_html_a87a0ad5f26983b1c2d24ee302d886562"><div class="ttname"><a href="classviennacl_1_1compressed__matrix.html#a87a0ad5f26983b1c2d24ee302d886562">viennacl::compressed_matrix::handle</a></div><div class="ttdeci">const handle_type & handle() const </div><div class="ttdoc">Returns the OpenCL handle to the matrix entry array. </div><div class="ttdef"><b>Definition:</b> <a href="compressed__matrix_8hpp_source.html#l00942">compressed_matrix.hpp:942</a></div></div>
<div class="ttc" id="classviennacl_1_1compressed__matrix_html_af71dec61a70e8df4f78a527aa989a106"><div class="ttname"><a href="classviennacl_1_1compressed__matrix.html#af71dec61a70e8df4f78a527aa989a106">viennacl::compressed_matrix::handle1</a></div><div class="ttdeci">const handle_type & handle1() const </div><div class="ttdoc">Returns the OpenCL handle to the row index array. </div><div class="ttdef"><b>Definition:</b> <a href="compressed__matrix_8hpp_source.html#l00936">compressed_matrix.hpp:936</a></div></div>
<div class="ttc" id="tests_2src_2bisect_8cpp_html_a52b5d30a2d7b064678644a3bf49b7f6c"><div class="ttname"><a href="tests_2src_2bisect_8cpp.html#a52b5d30a2d7b064678644a3bf49b7f6c">NumericT</a></div><div class="ttdeci">float NumericT</div><div class="ttdef"><b>Definition:</b> <a href="tests_2src_2bisect_8cpp_source.html#l00040">bisect.cpp:40</a></div></div>
<div class="ttc" id="namespaceviennacl_1_1linalg_1_1detail_html_a18ffaee4a350b3fd270f1f8615ce0f54"><div class="ttname"><a href="namespaceviennacl_1_1linalg_1_1detail.html#a18ffaee4a350b3fd270f1f8615ce0f54">viennacl::linalg::detail::extract_block_matrix</a></div><div class="ttdeci">void extract_block_matrix(viennacl::compressed_matrix< NumericT > const &A, viennacl::compressed_matrix< NumericT > &diagonal_block_A, vcl_size_t start_index, vcl_size_t stop_index)</div><div class="ttdoc">Extracts a diagonal block from a larger system matrix. </div><div class="ttdef"><b>Definition:</b> <a href="block__ilu_8hpp_source.html#l00079">block_ilu.hpp:79</a></div></div>
<div class="ttc" id="classviennacl_1_1context_html"><div class="ttname"><a href="classviennacl_1_1context.html">viennacl::context</a></div><div class="ttdoc">Represents a generic 'context' similar to an OpenCL context, but is backend-agnostic and thus also su...</div><div class="ttdef"><b>Definition:</b> <a href="context_8hpp_source.html#l00039">context.hpp:39</a></div></div>
<div class="ttc" id="classviennacl_1_1linalg_1_1block__ilu__precond_html_a3e922515d2cf60bedcd448f438987f89"><div class="ttname"><a href="classviennacl_1_1linalg_1_1block__ilu__precond.html#a3e922515d2cf60bedcd448f438987f89">viennacl::linalg::block_ilu_precond::index_vector_type</a></div><div class="ttdeci">std::vector< std::pair< vcl_size_t, vcl_size_t > > index_vector_type</div><div class="ttdef"><b>Definition:</b> <a href="block__ilu_8hpp_source.html#l00137">block_ilu.hpp:137</a></div></div>
<div class="ttc" id="namespaceviennacl_1_1traits_html_aa2344ea20469f55fbc15a8e9526494d0"><div class="ttname"><a href="namespaceviennacl_1_1traits.html#aa2344ea20469f55fbc15a8e9526494d0">viennacl::traits::size</a></div><div class="ttdeci">vcl_size_t size(VectorType const &vec)</div><div class="ttdoc">Generic routine for obtaining the size of a vector (ViennaCL, uBLAS, etc.) </div><div class="ttdef"><b>Definition:</b> <a href="size_8hpp_source.html#l00239">size.hpp:239</a></div></div>
<div class="ttc" id="structviennacl_1_1linalg_1_1upper__tag_html"><div class="ttname"><a href="structviennacl_1_1linalg_1_1upper__tag.html">viennacl::linalg::upper_tag</a></div><div class="ttdoc">A tag class representing an upper triangular matrix. </div><div class="ttdef"><b>Definition:</b> <a href="forwards_8h_source.html#l00854">forwards.h:854</a></div></div>
<div class="ttc" id="classviennacl_1_1linalg_1_1ilut__tag_html"><div class="ttname"><a href="classviennacl_1_1linalg_1_1ilut__tag.html">viennacl::linalg::ilut_tag</a></div><div class="ttdoc">A tag for incomplete LU factorization with threshold (ILUT) </div><div class="ttdef"><b>Definition:</b> <a href="ilut_8hpp_source.html#l00045">ilut.hpp:45</a></div></div>
<div class="ttc" id="classviennacl_1_1compressed__matrix_html_a91f5145351151a66f916bdc3901206f2"><div class="ttname"><a href="classviennacl_1_1compressed__matrix.html#a91f5145351151a66f916bdc3901206f2">viennacl::compressed_matrix::handle2</a></div><div class="ttdeci">const handle_type & handle2() const </div><div class="ttdoc">Returns the OpenCL handle to the column index array. </div><div class="ttdef"><b>Definition:</b> <a href="compressed__matrix_8hpp_source.html#l00938">compressed_matrix.hpp:938</a></div></div>
<div class="ttc" id="classviennacl_1_1linalg_1_1detail_1_1ilu__vector__range_html_a1fa873fbf369586e1c887988bcb53470"><div class="ttname"><a href="classviennacl_1_1linalg_1_1detail_1_1ilu__vector__range.html#a1fa873fbf369586e1c887988bcb53470">viennacl::linalg::detail::ilu_vector_range::operator()</a></div><div class="ttdeci">NumericT & operator()(SizeT index)</div><div class="ttdef"><b>Definition:</b> <a href="block__ilu_8hpp_source.html#l00051">block_ilu.hpp:51</a></div></div>
<div class="ttc" id="classviennacl_1_1linalg_1_1block__ilu__precond_html_a46979ee009fde37be9733ad39070dfe3"><div class="ttname"><a href="classviennacl_1_1linalg_1_1block__ilu__precond.html#a46979ee009fde37be9733ad39070dfe3">viennacl::linalg::block_ilu_precond::block_ilu_precond</a></div><div class="ttdeci">block_ilu_precond(MatrixT const &mat, ILUTag const &tag, vcl_size_t num_blocks=8)</div><div class="ttdef"><b>Definition:</b> <a href="block__ilu_8hpp_source.html#l00140">block_ilu.hpp:140</a></div></div>
<div class="ttc" id="classviennacl_1_1linalg_1_1detail_1_1ilu__vector__range_html_ac0ce8400c9d362d6c4a82c922c4becc0"><div class="ttname"><a href="classviennacl_1_1linalg_1_1detail_1_1ilu__vector__range.html#ac0ce8400c9d362d6c4a82c922c4becc0">viennacl::linalg::detail::ilu_vector_range::ilu_vector_range</a></div><div class="ttdeci">ilu_vector_range(VectorT &v, SizeT start_index, SizeT vec_size)</div><div class="ttdef"><b>Definition:</b> <a href="block__ilu_8hpp_source.html#l00046">block_ilu.hpp:46</a></div></div>
<div class="ttc" id="classviennacl_1_1linalg_1_1block__ilu__precond_3_01compressed__matrix_3_01_numeric_t_00_01_align1f935c0ddb2915c5703380de7539023a_html_a71d8e7223e975206c82c0f849872e840"><div class="ttname"><a href="classviennacl_1_1linalg_1_1block__ilu__precond_3_01compressed__matrix_3_01_numeric_t_00_01_align1f935c0ddb2915c5703380de7539023a.html#a71d8e7223e975206c82c0f849872e840">viennacl::linalg::block_ilu_precond< compressed_matrix< NumericT, AlignmentV >, ILUTagT >::index_vector_type</a></div><div class="ttdeci">std::vector< std::pair< vcl_size_t, vcl_size_t > > index_vector_type</div><div class="ttdef"><b>Definition:</b> <a href="block__ilu_8hpp_source.html#l00286">block_ilu.hpp:286</a></div></div>
<div class="ttc" id="namespaceviennacl_html_a98a0afcc513111ffa0bd138f891930df"><div class="ttname"><a href="namespaceviennacl.html#a98a0afcc513111ffa0bd138f891930df">viennacl::vcl_size_t</a></div><div class="ttdeci">std::size_t vcl_size_t</div><div class="ttdef"><b>Definition:</b> <a href="forwards_8h_source.html#l00075">forwards.h:75</a></div></div>
<div class="ttc" id="namespaceviennacl_1_1linalg_html_ad88c948ebe30524e225cb523fe6f6cd7"><div class="ttname"><a href="namespaceviennacl_1_1linalg.html#ad88c948ebe30524e225cb523fe6f6cd7">viennacl::linalg::trans</a></div><div class="ttdeci">void trans(const matrix_expression< const matrix_base< NumericT, SizeT, DistanceT >, const matrix_base< NumericT, SizeT, DistanceT >, op_trans > &proxy, matrix_base< NumericT > &temp_trans)</div><div class="ttdef"><b>Definition:</b> <a href="matrix__operations_8hpp_source.html#l00083">matrix_operations.hpp:83</a></div></div>
<div class="ttc" id="classviennacl_1_1linalg_1_1block__ilu__precond_html_a9077e498705909d7ffc15fdb5d05b561"><div class="ttname"><a href="classviennacl_1_1linalg_1_1block__ilu__precond.html#a9077e498705909d7ffc15fdb5d05b561">viennacl::linalg::block_ilu_precond::apply</a></div><div class="ttdeci">void apply(VectorT &vec) const </div><div class="ttdef"><b>Definition:</b> <a href="block__ilu_8hpp_source.html#l00174">block_ilu.hpp:174</a></div></div>
<div class="ttc" id="classviennacl_1_1vector_html"><div class="ttname"><a href="classviennacl_1_1vector.html">viennacl::vector< NumericT ></a></div></div>
<div class="ttc" id="classviennacl_1_1linalg_1_1block__ilu__precond_3_01compressed__matrix_3_01_numeric_t_00_01_align1f935c0ddb2915c5703380de7539023a_html_a94ab4dee534241c822cce8f5ffa232f4"><div class="ttname"><a href="classviennacl_1_1linalg_1_1block__ilu__precond_3_01compressed__matrix_3_01_numeric_t_00_01_align1f935c0ddb2915c5703380de7539023a.html#a94ab4dee534241c822cce8f5ffa232f4">viennacl::linalg::block_ilu_precond< compressed_matrix< NumericT, AlignmentV >, ILUTagT >::block_ilu_precond</a></div><div class="ttdeci">block_ilu_precond(MatrixType const &mat, ILUTagT const &tag, index_vector_type const &block_boundaries)</div><div class="ttdef"><b>Definition:</b> <a href="block__ilu_8hpp_source.html#l00317">block_ilu.hpp:317</a></div></div>
<div class="ttc" id="namespaceviennacl_html_a0a574e6cd04ca0e42298b4ab845700e4"><div class="ttname"><a href="namespaceviennacl.html#a0a574e6cd04ca0e42298b4ab845700e4">viennacl::row</a></div><div class="ttdeci">vector_expression< const matrix_base< NumericT, F >, const unsigned int, op_row > row(const matrix_base< NumericT, F > &A, unsigned int i)</div><div class="ttdef"><b>Definition:</b> <a href="matrix_8hpp_source.html#l00910">matrix.hpp:910</a></div></div>
<div class="ttc" id="namespaceviennacl_html_a00b40450b6b2fd87aad3527d9b2084b8a427356f0fb1b8d32b28f37e36b272df4"><div class="ttname"><a href="namespaceviennacl.html#a00b40450b6b2fd87aad3527d9b2084b8a427356f0fb1b8d32b28f37e36b272df4">viennacl::MAIN_MEMORY</a></div><div class="ttdef"><b>Definition:</b> <a href="forwards_8h_source.html#l00348">forwards.h:348</a></div></div>
<div class="ttc" id="ilut_8hpp_html"><div class="ttname"><a href="ilut_8hpp.html">ilut.hpp</a></div><div class="ttdoc">Implementations of an incomplete factorization preconditioner with threshold (ILUT) ...</div></div>
<div class="ttc" id="namespaceviennacl_1_1traits_html_a6707f5dab8f482170d2046a605f46ef8"><div class="ttname"><a href="namespaceviennacl_1_1traits.html#a6707f5dab8f482170d2046a605f46ef8">viennacl::traits::context</a></div><div class="ttdeci">viennacl::context context(T const &t)</div><div class="ttdoc">Returns an ID for the currently active memory domain of an object. </div><div class="ttdef"><b>Definition:</b> <a href="traits_2context_8hpp_source.html#l00040">context.hpp:40</a></div></div>
<div class="ttc" id="classviennacl_1_1linalg_1_1block__ilu__precond_3_01compressed__matrix_3_01_numeric_t_00_01_align1f935c0ddb2915c5703380de7539023a_html_ad363c576927d2bfe834b4cf5fd4ef719"><div class="ttname"><a href="classviennacl_1_1linalg_1_1block__ilu__precond_3_01compressed__matrix_3_01_numeric_t_00_01_align1f935c0ddb2915c5703380de7539023a.html#ad363c576927d2bfe834b4cf5fd4ef719">viennacl::linalg::block_ilu_precond< compressed_matrix< NumericT, AlignmentV >, ILUTagT >::block_ilu_precond</a></div><div class="ttdeci">block_ilu_precond(MatrixType const &mat, ILUTagT const &tag, vcl_size_t num_blocks=8)</div><div class="ttdef"><b>Definition:</b> <a href="block__ilu_8hpp_source.html#l00289">block_ilu.hpp:289</a></div></div>
<div class="ttc" id="namespaceviennacl_html_a10b7f8cf6b8864a7aa196d670481a453"><div class="ttname"><a href="namespaceviennacl.html#a10b7f8cf6b8864a7aa196d670481a453">viennacl::copy</a></div><div class="ttdeci">void copy(std::vector< NumericT > &cpu_vec, circulant_matrix< NumericT, AlignmentV > &gpu_mat)</div><div class="ttdoc">Copies a circulant matrix from the std::vector to the OpenCL device (either GPU or multi-core CPU) ...</div><div class="ttdef"><b>Definition:</b> <a href="circulant__matrix_8hpp_source.html#l00150">circulant_matrix.hpp:150</a></div></div>
<div class="ttc" id="classviennacl_1_1backend_1_1typesafe__host__array_html_ac31bfde381eb40e0349678252c444af9"><div class="ttname"><a href="classviennacl_1_1backend_1_1typesafe__host__array.html#ac31bfde381eb40e0349678252c444af9">viennacl::backend::typesafe_host_array::set</a></div><div class="ttdeci">void set(vcl_size_t index, U value)</div><div class="ttdef"><b>Definition:</b> <a href="backend_2util_8hpp_source.html#l00115">util.hpp:115</a></div></div>
<div class="ttc" id="fft__1d_8cpp_html_ad5c19ca4f47d3f8ec21232a5af2624e5"><div class="ttname"><a href="fft__1d_8cpp.html#ad5c19ca4f47d3f8ec21232a5af2624e5">ScalarType</a></div><div class="ttdeci">float ScalarType</div><div class="ttdef"><b>Definition:</b> <a href="fft__1d_8cpp_source.html#l00042">fft_1d.cpp:42</a></div></div>
<div class="ttc" id="classviennacl_1_1linalg_1_1detail_1_1ilu__vector__range_html_ae080f84bff9836383fed4f0b21bee358"><div class="ttname"><a href="classviennacl_1_1linalg_1_1detail_1_1ilu__vector__range.html#ae080f84bff9836383fed4f0b21bee358">viennacl::linalg::detail::ilu_vector_range::size</a></div><div class="ttdeci">SizeT size() const </div><div class="ttdef"><b>Definition:</b> <a href="block__ilu_8hpp_source.html#l00063">block_ilu.hpp:63</a></div></div>
<div class="ttc" id="structviennacl_1_1linalg_1_1unit__lower__tag_html"><div class="ttname"><a href="structviennacl_1_1linalg_1_1unit__lower__tag.html">viennacl::linalg::unit_lower_tag</a></div><div class="ttdoc">A tag class representing a lower triangular matrix with unit diagonal. </div><div class="ttdef"><b>Definition:</b> <a href="forwards_8h_source.html#l00859">forwards.h:859</a></div></div>
<div class="ttc" id="classviennacl_1_1backend_1_1mem__handle_html"><div class="ttname"><a href="classviennacl_1_1backend_1_1mem__handle.html">viennacl::backend::mem_handle</a></div><div class="ttdoc">Main abstraction class for multiple memory domains. Represents a buffer in either main RAM...</div><div class="ttdef"><b>Definition:</b> <a href="mem__handle_8hpp_source.html#l00089">mem_handle.hpp:89</a></div></div>
<div class="ttc" id="classviennacl_1_1compressed__matrix_html"><div class="ttname"><a href="classviennacl_1_1compressed__matrix.html">viennacl::compressed_matrix< NumericT ></a></div></div>
<div class="ttc" id="namespaceviennacl_1_1backend_html_a1499f19634964e2c7c8aeeefc6206126"><div class="ttname"><a href="namespaceviennacl_1_1backend.html#a1499f19634964e2c7c8aeeefc6206126">viennacl::backend::memory_create</a></div><div class="ttdeci">void memory_create(mem_handle &handle, vcl_size_t size_in_bytes, viennacl::context const &ctx, const void *host_ptr=NULL)</div><div class="ttdoc">Creates an array of the specified size. If the second argument is provided, the buffer is initialized...</div><div class="ttdef"><b>Definition:</b> <a href="memory_8hpp_source.html#l00087">memory.hpp:87</a></div></div>
<div class="ttc" id="classviennacl_1_1linalg_1_1detail_1_1ilu__vector__range_html"><div class="ttname"><a href="classviennacl_1_1linalg_1_1detail_1_1ilu__vector__range.html">viennacl::linalg::detail::ilu_vector_range</a></div><div class="ttdoc">Helper range class for representing a subvector of a larger buffer. </div><div class="ttdef"><b>Definition:</b> <a href="block__ilu_8hpp_source.html#l00043">block_ilu.hpp:43</a></div></div>
<div class="ttc" id="linalg_2detail_2ilu_2common_8hpp_html"><div class="ttname"><a href="linalg_2detail_2ilu_2common_8hpp.html">common.hpp</a></div><div class="ttdoc">Common routines used within ILU-type preconditioners. </div></div>
<div class="ttc" id="classviennacl_1_1compressed__matrix_html_afcf49945a63836e1edfca536fcd191fb"><div class="ttname"><a href="classviennacl_1_1compressed__matrix.html#afcf49945a63836e1edfca536fcd191fb">viennacl::compressed_matrix::resize</a></div><div class="ttdeci">void resize(vcl_size_t new_size1, vcl_size_t new_size2, bool preserve=true)</div><div class="ttdoc">Resize the matrix. </div><div class="ttdef"><b>Definition:</b> <a href="compressed__matrix_8hpp_source.html#l00829">compressed_matrix.hpp:829</a></div></div>
<div class="ttc" id="classviennacl_1_1linalg_1_1block__ilu__precond_3_01compressed__matrix_3_01_numeric_t_00_01_align1f935c0ddb2915c5703380de7539023a_html_afaaca7a80bee42143cf9bb82896a22f0"><div class="ttname"><a href="classviennacl_1_1linalg_1_1block__ilu__precond_3_01compressed__matrix_3_01_numeric_t_00_01_align1f935c0ddb2915c5703380de7539023a.html#afaaca7a80bee42143cf9bb82896a22f0">viennacl::linalg::block_ilu_precond< compressed_matrix< NumericT, AlignmentV >, ILUTagT >::apply</a></div><div class="ttdeci">void apply(vector< NumericT > &vec) const </div><div class="ttdef"><b>Definition:</b> <a href="block__ilu_8hpp_source.html#l00336">block_ilu.hpp:336</a></div></div>
<div class="ttc" id="classviennacl_1_1linalg_1_1block__ilu__precond_html_a7bd2b7878629546259fe754eb7f3427c"><div class="ttname"><a href="classviennacl_1_1linalg_1_1block__ilu__precond.html#a7bd2b7878629546259fe754eb7f3427c">viennacl::linalg::block_ilu_precond::block_ilu_precond</a></div><div class="ttdeci">block_ilu_precond(MatrixT const &mat, ILUTag const &tag, index_vector_type const &block_boundaries)</div><div class="ttdef"><b>Definition:</b> <a href="block__ilu_8hpp_source.html#l00161">block_ilu.hpp:161</a></div></div>
<div class="ttc" id="classviennacl_1_1backend_1_1mem__handle_html_a5951aceb881068a77b4af8825b547ea3"><div class="ttname"><a href="classviennacl_1_1backend_1_1mem__handle.html#a5951aceb881068a77b4af8825b547ea3">viennacl::backend::mem_handle::get_active_handle_id</a></div><div class="ttdeci">memory_types get_active_handle_id() const </div><div class="ttdoc">Returns an ID for the currently active memory buffer. Other memory buffers might contain old or no da...</div><div class="ttdef"><b>Definition:</b> <a href="mem__handle_8hpp_source.html#l00118">mem_handle.hpp:118</a></div></div>
<div class="ttc" id="namespaceviennacl_1_1linalg_1_1detail_html_a926494a1bd9b3c66def0c860bf564b42"><div class="ttname"><a href="namespaceviennacl_1_1linalg_1_1detail.html#a926494a1bd9b3c66def0c860bf564b42">viennacl::linalg::detail::block_inplace_solve</a></div><div class="ttdeci">viennacl::enable_if< viennacl::is_any_sparse_matrix< SparseMatrixType >::value >::type block_inplace_solve(const matrix_expression< const SparseMatrixType, const SparseMatrixType, op_trans > &mat, viennacl::backend::mem_handle const &block_index_array, vcl_size_t num_blocks, viennacl::vector_base< ScalarType > const &mat_diagonal, viennacl::vector_base< ScalarType > &vec, SOLVERTAG tag)</div><div class="ttdef"><b>Definition:</b> <a href="sparse__matrix__operations_8hpp_source.html#l00332">sparse_matrix_operations.hpp:332</a></div></div>
<div class="ttc" id="namespaceviennacl_html_a87d41d517b3d0daca8b1536e15e6659d"><div class="ttname"><a href="namespaceviennacl.html#a87d41d517b3d0daca8b1536e15e6659d">viennacl::switch_memory_context</a></div><div class="ttdeci">void switch_memory_context(T &obj, viennacl::context new_ctx)</div><div class="ttdoc">Generic convenience routine for migrating data of an object to a new memory domain. </div><div class="ttdef"><b>Definition:</b> <a href="memory_8hpp_source.html#l00622">memory.hpp:622</a></div></div>
</div><!-- fragment --></div><!-- contents -->
</div><!-- doc-content -->
<!-- start footer part -->
<div id="nav-path" class="navpath"><!-- id is needed for treeview function! -->
<ul>
<li class="navelem"><a class="el" href="dir_c82e3d11dd171600f4a6e0cab1ec1e0d.html">viennacl</a></li><li class="navelem"><a class="el" href="dir_63cde087767c4ed65c7901ffc6e293fe.html">linalg</a></li><li class="navelem"><a class="el" href="dir_2753ed8074493aeff3e0515eb0266828.html">detail</a></li><li class="navelem"><a class="el" href="dir_27edd4ef761976637f0a6ff19cff4c00.html">ilu</a></li><li class="navelem"><a class="el" href="block__ilu_8hpp.html">block_ilu.hpp</a></li>
<li class="footer">Generated on Wed Jan 20 2016 22:32:41 for ViennaCL - The Vienna Computing Library by
<a href="http://www.doxygen.org/index.html">
<img class="footer" src="doxygen.png" alt="doxygen"/></a> 1.8.6 </li>
</ul>
</div>
</body>
</html>
|
