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
|
/****************************************************************/
/* Parallel Combinatorial BLAS Library (for Graph Computations) */
/* version 1.5 -------------------------------------------------*/
/* date: 10/09/2015 ---------------------------------------------*/
/* authors: Ariful Azad, Aydin Buluc, Adam Lugowski ------------*/
/****************************************************************/
/*
Copyright (c) 2010-2015, The Regents of the University of California
Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
copies of the Software, and to permit persons to whom the Software is
furnished to do so, subject to the following conditions:
The above copyright notice and this permission notice shall be included in
all copies or substantial portions of the Software.
THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN
THE SOFTWARE.
*/
#include <mpi.h>
#include <sys/time.h>
#include <iostream>
#include <functional>
#include <algorithm>
#include <vector>
#include <sstream>
#include "CombBLAS/CombBLAS.h"
using namespace std;
using namespace combblas;
template <typename PARMAT>
void Symmetricize(PARMAT & A)
{
// boolean addition is practically a "logical or"
// therefore this doesn't destruct any links
PARMAT AT = A;
AT.Transpose();
A += AT;
}
int main(int argc, char* argv[])
{
int nprocs, myrank;
MPI_Init(&argc, &argv);
MPI_Comm_size(MPI_COMM_WORLD,&nprocs);
MPI_Comm_rank(MPI_COMM_WORLD,&myrank);
if(argc < 3)
{
if(myrank == 0)
{
cout << "Usage: ./FindSparse <BASEADDRESS> <Matrix>" << endl;
cout << "Input files should be under <BASEADDRESS> in appropriate format" << endl;
}
MPI_Finalize();
return -1;
}
{
string directory(argv[1]);
string matrixname(argv[2]);
matrixname = directory+"/"+matrixname;
typedef SpParMat <int, double, SpDCCols<int,double> > PARDBMAT;
shared_ptr<CommGrid> fullWorld;
fullWorld.reset( new CommGrid(MPI_COMM_WORLD, 0, 0) );
PARDBMAT A(fullWorld); // declare objects
FullyDistVec<int,int> crow(fullWorld);
FullyDistVec<int,int> ccol(fullWorld);
FullyDistVec<int,double> cval(fullWorld);
A.ReadDistribute(matrixname, 0);
A.Find(crow, ccol, cval);
PARDBMAT B(A.getnrow(), A.getncol(), crow, ccol, cval); // Sparse()
if (A == B)
{
SpParHelper::Print("Find and Sparse working correctly\n");
}
else
{
SpParHelper::Print("ERROR in Find(), go fix it!\n");
SpParHelper::Print("Rows array: \n");
crow.DebugPrint();
SpParHelper::Print("Columns array: \n");
ccol.DebugPrint();
SpParHelper::Print("Values array: \n");
cval.DebugPrint();
}
// Begin testing a Matlab like use case
// Example provided by Arne De Coninck <arne.deconinck@ugent.be>
// X = ones(size(A,2),1)
// M = [X' * X, X' * A; A'* X, A' * A]
A.PrintInfo();
Symmetricize(A);
FullyDistVec<int,int> rowsym(fullWorld);
FullyDistVec<int,int> colsym(fullWorld);
FullyDistVec<int,double> valsym(fullWorld);
A.Find(rowsym, colsym, valsym);
FullyDistVec<int,double> colsums(fullWorld);
A.Reduce(colsums, Column, plus<double>(), 0.0);
FullyDistVec<int,double> numcols(A.getcommgrid(), 1, A.getncol());
#if defined(COMBBLAS_TR1) || defined(COMBBLAS_BOOST) || defined(NOTGNU)
vector< FullyDistVec<int,double> > vals2concat;
vals2concat.push_back(numcols);
vals2concat.push_back(colsums);
vals2concat.push_back(colsums);
vals2concat.push_back(valsym);
#else
vector< FullyDistVec<int,double> > vals2concat{numcols, colsums, colsums, valsym};
#endif
FullyDistVec<int,double> nval = Concatenate(vals2concat);
nval.PrintInfo("Values:");
// sparse() expects a zero based index
FullyDistVec<int,int> firstrowrids(A.getcommgrid(), A.getncol()+1, 0); // M(1,:)
FullyDistVec<int,int> firstcolrids(A.getcommgrid(), A.getncol(), 0); // M(2:end,1)
firstcolrids.iota(A.getncol(),1); // fill M(2:end,1)'s row ids
rowsym.Apply(bind2nd(plus<int>(), 1));
#if defined(COMBBLAS_TR1) || defined(COMBBLAS_BOOST) || defined(NOTGNU)
vector< FullyDistVec<int,int> > rows2concat;
rows2concat.push_back(firstrowrids);
rows2concat.push_back(firstcolrids);
rows2concat.push_back(rowsym);
#else
vector< FullyDistVec<int,int> > rows2concat{firstrowrids, firstcolrids, rowsym}; // C++11 style
#endif
FullyDistVec<int,int> nrow = Concatenate(rows2concat);
nrow.PrintInfo("Row ids:");
FullyDistVec<int,int> firstrowcids(A.getcommgrid(), A.getncol()+1, 0); // M(1,:)
firstrowcids.iota(A.getncol()+1,0); // fill M(1,:)'s column ids
FullyDistVec<int,int> firstcolcids(A.getcommgrid(), A.getncol(), 0); // M(2:end,1)
colsym.Apply(bind2nd(plus<int>(), 1));
#if defined(COMBBLAS_TR1) || defined(COMBBLAS_BOOST) || defined(NOTGNU)
vector< FullyDistVec<int,int> > cols2concat;
cols2concat.push_back(firstrowcids);
cols2concat.push_back(firstcolcids);
cols2concat.push_back(colsym);
#else
vector< FullyDistVec<int,int> > cols2concat{firstrowcids, firstcolcids, colsym}; // C++11 style
#endif
FullyDistVec<int,int> ncol = Concatenate(cols2concat);
ncol.PrintInfo("Column ids:");
PARDBMAT M(A.getnrow()+1, A.getncol()+1, nrow, ncol, nval); // Sparse()
M.PrintInfo();
// End Arne's test case
}
MPI_Finalize();
return 0;
}
|
