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<div id="projectname">ViennaCL - The Vienna Computing Library
 <span id="projectnumber">1.7.1</span>
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<div id="projectbrief">Free open-source GPU-accelerated linear algebra and solver library.</div>
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<div class="contents">
<div class="textblock">Here is a list of all class members with links to the classes they belong to:</div>
<h3><a class="anchor" id="index_p"></a>- p -</h3><ul>
<li>p
: <a class="el" href="structviennacl_1_1tools_1_1detail_1_1auximpl.html#ac2091cb8c855a44b2509b53e8bf1698d">viennacl::tools::detail::auximpl< U, Deleter ></a>
</li>
<li>p_
: <a class="el" href="classviennacl_1_1device__specific_1_1template__base__impl.html#ac1a2b570d477d82f9cbd3d88dcb6e8c2">viennacl::device_specific::template_base_impl< TemplateType, ParametersType ></a>
</li>
<li>p_context()
: <a class="el" href="classviennacl_1_1ocl_1_1program.html#acd547941bc65e0a26eb2d6a9c3e4c29f">viennacl::ocl::program</a>
</li>
<li>pad()
: <a class="el" href="classviennacl_1_1vector__base.html#a030e268c3d59e853ad917a6a76635974">viennacl::vector_base< NumericT, SizeT, DistanceT ></a>
</li>
<li>parameters()
: <a class="el" href="classviennacl_1_1device__specific_1_1template__base__impl.html#ad3dd3fddf4d52fd09cac0118cc993c70">viennacl::device_specific::template_base_impl< TemplateType, ParametersType ></a>
</li>
<li>parameters_type()
: <a class="el" href="structviennacl_1_1device__specific_1_1template__base_1_1parameters__type.html#ae4f54038c3465b5fcd440c68bd1d0701">viennacl::device_specific::template_base::parameters_type</a>
, <a class="el" href="classviennacl_1_1device__specific_1_1template__base__impl.html#addc1be148eddeb501c37091e88363098">viennacl::device_specific::template_base_impl< TemplateType, ParametersType ></a>
</li>
<li>partial_reorthogonalization
: <a class="el" href="classviennacl_1_1linalg_1_1lanczos__tag.html#a8a743b9f474124a0f779ed35c6f6a684a937ee8052e51309672b2bcdba4bb015e">viennacl::linalg::lanczos_tag</a>
</li>
<li>platform()
: <a class="el" href="classviennacl_1_1ocl_1_1device.html#a8e9ac6074e3cbdbb761b8ecb1c8796c8">viennacl::ocl::device</a>
, <a class="el" href="classviennacl_1_1ocl_1_1platform.html#afd82f90092841f111e70e5e7b8afbcec">viennacl::ocl::platform</a>
</li>
<li>platform_index()
: <a class="el" href="classviennacl_1_1ocl_1_1context.html#a4f89a62af0d767fd8a4f5f07323447ea">viennacl::ocl::context</a>
</li>
<li>POINT_TYPE_COARSE
: <a class="el" href="structviennacl_1_1linalg_1_1detail_1_1amg_1_1amg__level__context.html#aa97530b4793135fb8d5e71010c8ff637afbc2c39efc86491c26c2401d06f2cc8a">viennacl::linalg::detail::amg::amg_level_context</a>
</li>
<li>POINT_TYPE_FINE
: <a class="el" href="structviennacl_1_1linalg_1_1detail_1_1amg_1_1amg__level__context.html#aa97530b4793135fb8d5e71010c8ff637af803b8af4a6abdaf3d0fd08c18da6de6">viennacl::linalg::detail::amg::amg_level_context</a>
</li>
<li>POINT_TYPE_UNDECIDED
: <a class="el" href="structviennacl_1_1linalg_1_1detail_1_1amg_1_1amg__level__context.html#aa97530b4793135fb8d5e71010c8ff637adf77f4d874aa905e58b1d01448d599b7">viennacl::linalg::detail::amg::amg_level_context</a>
</li>
<li>point_types_
: <a class="el" href="structviennacl_1_1linalg_1_1detail_1_1amg_1_1amg__level__context.html#a8856e6db54e88c12e2ac728b5fcbe1e4">viennacl::linalg::detail::amg::amg_level_context</a>
</li>
<li>power_iter_tag()
: <a class="el" href="classviennacl_1_1linalg_1_1power__iter__tag.html#af75af4cbe75d54d797ce1cc3907d7741">viennacl::linalg::power_iter_tag</a>
</li>
<li>precision
: <a class="el" href="struct_vienna_c_l_host_scalar__impl.html#a5017f1f1f2d1e9054c4a1b8f5f724211">ViennaCLHostScalar_impl</a>
, <a class="el" href="struct_vienna_c_l_matrix__impl.html#ad9b5572714d5760e0d6db0d5c4eacbc4">ViennaCLMatrix_impl</a>
, <a class="el" href="struct_vienna_c_l_scalar__impl.html#af8a28d7c016b5c0b811c46a4bcb4b7c2">ViennaCLScalar_impl</a>
, <a class="el" href="struct_vienna_c_l_vector__impl.html#a8d5df6fb95c537becef8fe3f574945f9">ViennaCLVector_impl</a>
</li>
<li>pred_t
: <a class="el" href="classviennacl_1_1device__specific_1_1tree__parsing_1_1filter.html#aeafc307c76220bbc238bd7147a884c17">viennacl::device_specific::tree_parsing::filter</a>
</li>
<li>preferred_vector_width_char()
: <a class="el" href="classviennacl_1_1ocl_1_1device.html#a002ae911ec980a4da1df41d7fa4b688c">viennacl::ocl::device</a>
</li>
<li>preferred_vector_width_double()
: <a class="el" href="classviennacl_1_1ocl_1_1device.html#ac21b85d536377b4823d57e247babc8ce">viennacl::ocl::device</a>
</li>
<li>preferred_vector_width_float()
: <a class="el" href="classviennacl_1_1ocl_1_1device.html#a1248fe748267363cbc9c884f17f095f0">viennacl::ocl::device</a>
</li>
<li>preferred_vector_width_int()
: <a class="el" href="classviennacl_1_1ocl_1_1device.html#a3078d11384e82353e6a91e0af0eb1a8d">viennacl::ocl::device</a>
</li>
<li>preferred_vector_width_long()
: <a class="el" href="classviennacl_1_1ocl_1_1device.html#a53aa2abb81ff8345c6cff2fcfbff88a0">viennacl::ocl::device</a>
</li>
<li>preferred_vector_width_short()
: <a class="el" href="classviennacl_1_1ocl_1_1device.html#a2aa011a6c0de926dc6af81e1ce7a19d7">viennacl::ocl::device</a>
</li>
<li>print_relative_error()
: <a class="el" href="classviennacl_1_1linalg_1_1nmf__config.html#ab11824e81b89c6703a6a5591cad1ddef">viennacl::linalg::nmf_config</a>
</li>
<li>process()
: <a class="el" href="classviennacl_1_1device__specific_1_1mapped__object.html#ad35aa64fda9ee95652b2be6b72dfc69f">viennacl::device_specific::mapped_object</a>
</li>
<li>process_recursive()
: <a class="el" href="classviennacl_1_1device__specific_1_1binary__leaf.html#aaf20a0f61286e07400f4daef62c4ad9f">viennacl::device_specific::binary_leaf</a>
</li>
<li>process_traversal()
: <a class="el" href="classviennacl_1_1device__specific_1_1tree__parsing_1_1process__traversal.html#aa9097760349132bdfc301e1beca81891">viennacl::device_specific::tree_parsing::process_traversal</a>
</li>
<li>processBlock()
: <a class="el" href="classviennacl_1_1tools_1_1detail_1_1sha1.html#a10f99a7aec424b82d96f99975b022145">viennacl::tools::detail::sha1</a>
</li>
<li>processByte()
: <a class="el" href="classviennacl_1_1tools_1_1detail_1_1sha1.html#af1d4f47f8fe71d8a3e90462288d6147b">viennacl::tools::detail::sha1</a>
</li>
<li>processBytes()
: <a class="el" href="classviennacl_1_1tools_1_1detail_1_1sha1.html#a871a000af4b0c2c00c6f2d2d284b74f3">viennacl::tools::detail::sha1</a>
</li>
<li>profile()
: <a class="el" href="classviennacl_1_1ocl_1_1device.html#a5e34e8981d66ae607893f6c518d1b8c2">viennacl::ocl::device</a>
</li>
<li>profiling_timer_resolution()
: <a class="el" href="classviennacl_1_1ocl_1_1device.html#a0b8bd02b47bff8d2a8169cc7d230b68f">viennacl::ocl::device</a>
</li>
<li>program()
: <a class="el" href="classviennacl_1_1device__specific_1_1lazy__program__compiler.html#a1d854d51218474acabded916bcfd5d2b">viennacl::device_specific::lazy_program_compiler</a>
, <a class="el" href="classviennacl_1_1ocl_1_1program.html#a200a9787e1bfcc1edd51e81afde01599">viennacl::ocl::program</a>
</li>
<li>program_name()
: <a class="el" href="structviennacl_1_1linalg_1_1opencl_1_1kernels_1_1amg.html#af302d22ee0571d385c641dce17d78724">viennacl::linalg::opencl::kernels::amg< NumericT ></a>
, <a class="el" href="structviennacl_1_1linalg_1_1opencl_1_1kernels_1_1bisect__kernel.html#aa1828c35426f5bc0e0a6362485b3abd5">viennacl::linalg::opencl::kernels::bisect_kernel< NumericT ></a>
, <a class="el" href="structviennacl_1_1linalg_1_1opencl_1_1kernels_1_1compressed__compressed__matrix.html#a1ceedab80e16eeacafed7b0a0d4bdc3e">viennacl::linalg::opencl::kernels::compressed_compressed_matrix< NumericT ></a>
, <a class="el" href="structviennacl_1_1linalg_1_1opencl_1_1kernels_1_1compressed__matrix.html#afe965ec5b71253eef6b93937bb84ed75">viennacl::linalg::opencl::kernels::compressed_matrix< NumericT ></a>
, <a class="el" href="structviennacl_1_1linalg_1_1opencl_1_1kernels_1_1compressed__matrix__solve.html#a48a665ca7ed9375ce8b0792e2b002265">viennacl::linalg::opencl::kernels::compressed_matrix_solve< NumericT ></a>
, <a class="el" href="structviennacl_1_1linalg_1_1opencl_1_1kernels_1_1coordinate__matrix.html#a479a57a2818448d9a5b0e0a260c990a2">viennacl::linalg::opencl::kernels::coordinate_matrix< NumericT ></a>
, <a class="el" href="structviennacl_1_1linalg_1_1opencl_1_1kernels_1_1ell__matrix.html#ad7cf49fdb85ac495d811c216049d8215">viennacl::linalg::opencl::kernels::ell_matrix< NumericT ></a>
, <a class="el" href="structviennacl_1_1linalg_1_1opencl_1_1kernels_1_1fft.html#a8424d60efaa28530b4ebd8d1b0773728">viennacl::linalg::opencl::kernels::fft< NumericT ></a>
, <a class="el" href="structviennacl_1_1linalg_1_1opencl_1_1kernels_1_1hyb__matrix.html#a7caca7cecfcf45943d4a9dd895baa726">viennacl::linalg::opencl::kernels::hyb_matrix< NumericT ></a>
, <a class="el" href="structviennacl_1_1linalg_1_1opencl_1_1kernels_1_1ilu.html#a3c7d96fb86b19c0aeb671486e3a30c9f">viennacl::linalg::opencl::kernels::ilu< NumericT ></a>
, <a class="el" href="structviennacl_1_1linalg_1_1opencl_1_1kernels_1_1iterative.html#a4c53db8817c1fb9cb6ae4f60ec6afc12">viennacl::linalg::opencl::kernels::iterative< NumericT ></a>
, <a class="el" href="structviennacl_1_1linalg_1_1opencl_1_1kernels_1_1matrix.html#aebeb88d84370df58512d54196cb6fc4e">viennacl::linalg::opencl::kernels::matrix< NumericT, F ></a>
, <a class="el" href="structviennacl_1_1linalg_1_1opencl_1_1kernels_1_1matrix__convert.html#a4cd39978376f076132cee4a63b576bab">viennacl::linalg::opencl::kernels::matrix_convert</a>
, <a class="el" href="structviennacl_1_1linalg_1_1opencl_1_1kernels_1_1matrix__element.html#acb351705b4bad060f233d647dc6f71d3">viennacl::linalg::opencl::kernels::matrix_element< NumericT, F ></a>
, <a class="el" href="structviennacl_1_1linalg_1_1opencl_1_1kernels_1_1matrix__legacy.html#a1f4b3cf314bdae1679b09cafe1adb4ed">viennacl::linalg::opencl::kernels::matrix_legacy< NumericT, LayoutT ></a>
, <a class="el" href="structviennacl_1_1linalg_1_1opencl_1_1kernels_1_1matrix__solve.html#ad188039d6ea8d35271f1796487b1ba7a">viennacl::linalg::opencl::kernels::matrix_solve< NumericT, LayoutT1, LayoutT2 ></a>
, <a class="el" href="structviennacl_1_1linalg_1_1opencl_1_1kernels_1_1nmf.html#a18050ccde8740645424ec2034ef541d2">viennacl::linalg::opencl::kernels::nmf< NumericT ></a>
, <a class="el" href="structviennacl_1_1linalg_1_1opencl_1_1kernels_1_1scalar.html#acdfc30003065fb6f5bde7502e00f5b8c">viennacl::linalg::opencl::kernels::scalar< NumericT ></a>
, <a class="el" href="structviennacl_1_1linalg_1_1opencl_1_1kernels_1_1scan.html#ad7f2b0ebe83061afa9cad7cf0e9b4e19">viennacl::linalg::opencl::kernels::scan< NumericT ></a>
, <a class="el" href="structviennacl_1_1linalg_1_1opencl_1_1kernels_1_1sliced__ell__matrix_3_01_numeric_t_00_01unsigned_01int_01_4.html#a9b49ade7d0139e0d00e2a451cefd94a1">viennacl::linalg::opencl::kernels::sliced_ell_matrix< NumericT, unsigned int ></a>
, <a class="el" href="structviennacl_1_1linalg_1_1opencl_1_1kernels_1_1spai.html#ad8f7e68d4451f8c928f310a24a206464">viennacl::linalg::opencl::kernels::spai< NumericT ></a>
, <a class="el" href="structviennacl_1_1linalg_1_1opencl_1_1kernels_1_1svd.html#ac9fd3775814c9ae28a138391f8463de0">viennacl::linalg::opencl::kernels::svd< NumericT, MatrixLayout ></a>
, <a class="el" href="structviennacl_1_1linalg_1_1opencl_1_1kernels_1_1vector.html#abce99b351f6f6e39b1c3acff3c81ae48">viennacl::linalg::opencl::kernels::vector< NumericT ></a>
, <a class="el" href="structviennacl_1_1linalg_1_1opencl_1_1kernels_1_1vector__convert.html#aa9b325a3e08a54c231d0aaa17f9162f4">viennacl::linalg::opencl::kernels::vector_convert</a>
, <a class="el" href="structviennacl_1_1linalg_1_1opencl_1_1kernels_1_1vector__element.html#acd634cbc8456a70b201d8b39763a83c4">viennacl::linalg::opencl::kernels::vector_element< NumericT ></a>
, <a class="el" href="structviennacl_1_1linalg_1_1opencl_1_1kernels_1_1vector__multi__inner__prod.html#ac161765107ffa1216800b35ffae5b59f">viennacl::linalg::opencl::kernels::vector_multi_inner_prod< NumericT ></a>
</li>
<li>program_not_found()
: <a class="el" href="classviennacl_1_1ocl_1_1program__not__found.html#ac46c9ab5d6134bba279ac0aa7939d72e">viennacl::ocl::program_not_found</a>
</li>
<li>program_num()
: <a class="el" href="classviennacl_1_1ocl_1_1context.html#ac8545f52ca32888b0100373f833d7e98">viennacl::ocl::context</a>
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