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<div class="textblock"><code>#include <stdexcept></code><br/>
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<code>#include "<a class="el" href="forwards_8h_source.html">viennacl/forwards.h</a>"</code><br/>
<code>#include "<a class="el" href="scalar_8hpp_source.html">viennacl/scalar.hpp</a>"</code><br/>
<code>#include "<a class="el" href="vector_8hpp_source.html">viennacl/vector.hpp</a>"</code><br/>
<code>#include "<a class="el" href="tools_8hpp_source.html">viennacl/tools/tools.hpp</a>"</code><br/>
<code>#include "<a class="el" href="linalg_2cuda_2common_8hpp_source.html">viennacl/linalg/cuda/common.hpp</a>"</code><br/>
<code>#include "<a class="el" href="timer_8hpp_source.html">viennacl/tools/timer.hpp</a>"</code><br/>
<code>#include "<a class="el" href="sparse__matrix__operations__solve_8hpp_source.html">viennacl/linalg/cuda/sparse_matrix_operations_solve.hpp</a>"</code><br/>
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Functions</h2></td></tr>
<tr class="memitem:ac681c14ce17df9e05ee22df27353fcb1"><td class="memTemplParams" colspan="2">template<typename IndexT > </td></tr>
<tr class="memitem:ac681c14ce17df9e05ee22df27353fcb1"><td class="memTemplItemLeft" align="right" valign="top">__device__ IndexT </td><td class="memTemplItemRight" valign="bottom"><a class="el" href="namespaceviennacl_1_1linalg_1_1cuda.html#ac681c14ce17df9e05ee22df27353fcb1">viennacl::linalg::cuda::round_to_next_power_of_2</a> (IndexT val)</td></tr>
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<tr class="memitem:af55c923f7bcf1fb5bef3ac98eee818d7"><td class="memTemplParams" colspan="2">template<typename IndexT > </td></tr>
<tr class="memitem:af55c923f7bcf1fb5bef3ac98eee818d7"><td class="memTemplItemLeft" align="right" valign="top">__global__ void </td><td class="memTemplItemRight" valign="bottom"><a class="el" href="namespaceviennacl_1_1linalg_1_1cuda.html#af55c923f7bcf1fb5bef3ac98eee818d7">viennacl::linalg::cuda::compressed_matrix_gemm_stage_1</a> (const IndexT *A_row_indices, const IndexT *A_col_indices, IndexT A_size1, const IndexT *B_row_indices, IndexT *subwarpsize_per_group, IndexT *max_nnz_row_A_per_group, IndexT *max_nnz_row_B_per_group)</td></tr>
<tr class="separator:af55c923f7bcf1fb5bef3ac98eee818d7"><td class="memSeparator" colspan="2"> </td></tr>
<tr class="memitem:a5fe64c9555f80a09a4a3eafe7e40d448"><td class="memItemLeft" align="right" valign="top">__device__ unsigned int </td><td class="memItemRight" valign="bottom"><a class="el" href="namespaceviennacl_1_1linalg_1_1cuda.html#a5fe64c9555f80a09a4a3eafe7e40d448">viennacl::linalg::cuda::merge_subwarp_symbolic</a> (unsigned int row_B_start, unsigned int row_B_end, unsigned int const *B_col_indices, unsigned int B_size2, unsigned int subwarpsize)</td></tr>
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<tr class="memitem:a5f1c4ff863d9f0a28ef7862bd96d02dd"><td class="memItemLeft" align="right" valign="top">__device__ unsigned int </td><td class="memItemRight" valign="bottom"><a class="el" href="namespaceviennacl_1_1linalg_1_1cuda.html#a5f1c4ff863d9f0a28ef7862bd96d02dd">viennacl::linalg::cuda::merge_subwarp_symbolic_double</a> (unsigned int row_B_start, unsigned int row_B_end, unsigned int const *B_col_indices, unsigned int B_size2, unsigned int *output_array, unsigned int id_in_warp, unsigned int subwarpsize)</td></tr>
<tr class="separator:a5f1c4ff863d9f0a28ef7862bd96d02dd"><td class="memSeparator" colspan="2"> </td></tr>
<tr class="memitem:a2526f31c8e9c88587938b341497e5666"><td class="memTemplParams" colspan="2">template<typename IndexT > </td></tr>
<tr class="memitem:a2526f31c8e9c88587938b341497e5666"><td class="memTemplItemLeft" align="right" valign="top">__global__ void </td><td class="memTemplItemRight" valign="bottom"><a class="el" href="namespaceviennacl_1_1linalg_1_1cuda.html#a2526f31c8e9c88587938b341497e5666">viennacl::linalg::cuda::compressed_matrix_gemm_stage_2</a> (const IndexT *A_row_indices, const IndexT *A_col_indices, IndexT A_size1, const IndexT *B_row_indices, const IndexT *B_col_indices, IndexT B_size2, IndexT *C_row_indices, unsigned int *subwarpsize_array, unsigned int *max_row_size_A, unsigned int *max_row_size_B, unsigned int *scratchpad_offsets, unsigned int *scratchpad_indices)</td></tr>
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<tr class="memitem:a99056424cbcd9b14d6d634ce049959f8"><td class="memTemplParams" colspan="2">template<typename NumericT > </td></tr>
<tr class="memitem:a99056424cbcd9b14d6d634ce049959f8"><td class="memTemplItemLeft" align="right" valign="top">__device__ unsigned int </td><td class="memTemplItemRight" valign="bottom"><a class="el" href="namespaceviennacl_1_1linalg_1_1cuda.html#a99056424cbcd9b14d6d634ce049959f8">viennacl::linalg::cuda::merge_subwarp_numeric</a> (<a class="el" href="tests_2src_2bisect_8cpp.html#a52b5d30a2d7b064678644a3bf49b7f6c">NumericT</a> scaling_factor, unsigned int input_start, unsigned int input_end, const unsigned int *input_indices, const <a class="el" href="tests_2src_2bisect_8cpp.html#a52b5d30a2d7b064678644a3bf49b7f6c">NumericT</a> *input_values, unsigned int invalid_token, unsigned int *output_indices, <a class="el" href="tests_2src_2bisect_8cpp.html#a52b5d30a2d7b064678644a3bf49b7f6c">NumericT</a> *output_values, unsigned int id_in_warp, unsigned int subwarpsize)</td></tr>
<tr class="separator:a99056424cbcd9b14d6d634ce049959f8"><td class="memSeparator" colspan="2"> </td></tr>
<tr class="memitem:a07ca20b5c90e81c92d0e2004b457b10d"><td class="memTemplParams" colspan="2">template<typename IndexT , typename NumericT > </td></tr>
<tr class="memitem:a07ca20b5c90e81c92d0e2004b457b10d"><td class="memTemplItemLeft" align="right" valign="top">__global__ void </td><td class="memTemplItemRight" valign="bottom"><a class="el" href="namespaceviennacl_1_1linalg_1_1cuda.html#a07ca20b5c90e81c92d0e2004b457b10d">viennacl::linalg::cuda::compressed_matrix_gemm_stage_3</a> (const IndexT *A_row_indices, const IndexT *A_col_indices, const <a class="el" href="tests_2src_2bisect_8cpp.html#a52b5d30a2d7b064678644a3bf49b7f6c">NumericT</a> *A_elements, IndexT A_size1, const IndexT *B_row_indices, const IndexT *B_col_indices, const <a class="el" href="tests_2src_2bisect_8cpp.html#a52b5d30a2d7b064678644a3bf49b7f6c">NumericT</a> *B_elements, IndexT B_size2, IndexT const *C_row_indices, IndexT *C_col_indices, <a class="el" href="tests_2src_2bisect_8cpp.html#a52b5d30a2d7b064678644a3bf49b7f6c">NumericT</a> *C_elements, unsigned int *subwarpsize_array, unsigned int *max_row_size_A, unsigned int *max_row_size_B, unsigned int *scratchpad_offsets, unsigned int *scratchpad_indices, <a class="el" href="tests_2src_2bisect_8cpp.html#a52b5d30a2d7b064678644a3bf49b7f6c">NumericT</a> *scratchpad_values)</td></tr>
<tr class="separator:a07ca20b5c90e81c92d0e2004b457b10d"><td class="memSeparator" colspan="2"> </td></tr>
<tr class="memitem:ab759723d26a2f8b81377d4a4b0d92db9"><td class="memTemplParams" colspan="2">template<typename IndexT > </td></tr>
<tr class="memitem:ab759723d26a2f8b81377d4a4b0d92db9"><td class="memTemplItemLeft" align="right" valign="top">__global__ void </td><td class="memTemplItemRight" valign="bottom"><a class="el" href="namespaceviennacl_1_1linalg_1_1cuda.html#ab759723d26a2f8b81377d4a4b0d92db9">viennacl::linalg::cuda::compressed_matrix_gemm_decompose_1</a> (const IndexT *A_row_indices, IndexT A_size1, IndexT max_per_row, IndexT *chunks_per_row)</td></tr>
<tr class="separator:ab759723d26a2f8b81377d4a4b0d92db9"><td class="memSeparator" colspan="2"> </td></tr>
<tr class="memitem:a80758e8edbc3622467f98d5a9bf2e826"><td class="memTemplParams" colspan="2">template<typename IndexT , typename NumericT > </td></tr>
<tr class="memitem:a80758e8edbc3622467f98d5a9bf2e826"><td class="memTemplItemLeft" align="right" valign="top">__global__ void </td><td class="memTemplItemRight" valign="bottom"><a class="el" href="namespaceviennacl_1_1linalg_1_1cuda.html#a80758e8edbc3622467f98d5a9bf2e826">viennacl::linalg::cuda::compressed_matrix_gemm_A2</a> (IndexT *A2_row_indices, IndexT *A2_col_indices, <a class="el" href="tests_2src_2bisect_8cpp.html#a52b5d30a2d7b064678644a3bf49b7f6c">NumericT</a> *A2_elements, IndexT A2_size1, IndexT *new_row_buffer)</td></tr>
<tr class="separator:a80758e8edbc3622467f98d5a9bf2e826"><td class="memSeparator" colspan="2"> </td></tr>
<tr class="memitem:a2ead3da9d15125a029d1ae747c35d915"><td class="memTemplParams" colspan="2">template<typename IndexT , typename NumericT > </td></tr>
<tr class="memitem:a2ead3da9d15125a029d1ae747c35d915"><td class="memTemplItemLeft" align="right" valign="top">__global__ void </td><td class="memTemplItemRight" valign="bottom"><a class="el" href="namespaceviennacl_1_1linalg_1_1cuda.html#a2ead3da9d15125a029d1ae747c35d915">viennacl::linalg::cuda::compressed_matrix_gemm_G1</a> (IndexT *G1_row_indices, IndexT *G1_col_indices, <a class="el" href="tests_2src_2bisect_8cpp.html#a52b5d30a2d7b064678644a3bf49b7f6c">NumericT</a> *G1_elements, IndexT G1_size1, IndexT const *A_row_indices, IndexT const *A_col_indices, <a class="el" href="tests_2src_2bisect_8cpp.html#a52b5d30a2d7b064678644a3bf49b7f6c">NumericT</a> const *A_elements, IndexT A_size1, IndexT A_nnz, IndexT max_per_row, IndexT *new_row_buffer)</td></tr>
<tr class="separator:a2ead3da9d15125a029d1ae747c35d915"><td class="memSeparator" colspan="2"> </td></tr>
<tr class="memitem:a6d7d10b2bd45388cb2571aaa14d274f8"><td class="memTemplParams" colspan="2">template<class NumericT , unsigned int AlignmentV> </td></tr>
<tr class="memitem:a6d7d10b2bd45388cb2571aaa14d274f8"><td class="memTemplItemLeft" align="right" valign="top">void </td><td class="memTemplItemRight" valign="bottom"><a class="el" href="namespaceviennacl_1_1linalg_1_1cuda.html#a6d7d10b2bd45388cb2571aaa14d274f8">viennacl::linalg::cuda::prod_impl</a> (<a class="el" href="classviennacl_1_1compressed__matrix.html">viennacl::compressed_matrix</a>< <a class="el" href="tests_2src_2bisect_8cpp.html#a52b5d30a2d7b064678644a3bf49b7f6c">NumericT</a>, AlignmentV > const &A, <a class="el" href="classviennacl_1_1compressed__matrix.html">viennacl::compressed_matrix</a>< <a class="el" href="tests_2src_2bisect_8cpp.html#a52b5d30a2d7b064678644a3bf49b7f6c">NumericT</a>, AlignmentV > const &B, <a class="el" href="classviennacl_1_1compressed__matrix.html">viennacl::compressed_matrix</a>< <a class="el" href="tests_2src_2bisect_8cpp.html#a52b5d30a2d7b064678644a3bf49b7f6c">NumericT</a>, AlignmentV > &C)</td></tr>
<tr class="memdesc:a6d7d10b2bd45388cb2571aaa14d274f8"><td class="mdescLeft"> </td><td class="mdescRight">Carries out sparse_matrix-sparse_matrix multiplication for CSR matrices. <a href="#a6d7d10b2bd45388cb2571aaa14d274f8">More...</a><br/></td></tr>
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