Updated HLG SpMM (s,d,c,z)
gabrielequatrana
10 months ago
parent
ccb4f73dca
commit
9daa04c3dc
@ -0,0 +1,35 @@
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/*
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* spGPU - Sparse matrices on GPU library.
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*
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* Copyright (C) 2010 - 2014
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* Davide Barbieri - University of Rome Tor Vergata
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*
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* This program is free software; you can redistribute it and/or
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* modify it under the terms of the GNU General Public License
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* version 3 as published by the Free Software Foundation.
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*
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* This program is distributed in the hope that it will be useful,
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* but WITHOUT ANY WARRANTY; without even the implied warranty of
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* MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
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* GNU General Public License for more details.
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*/
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#include "cudadebug.h"
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#include "cudalang.h"
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#include "cuComplex.h"
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extern "C"
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{
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#include "core.h"
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#include "hell.h"
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int getGPUSharedMemPerBlock();
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int getGPUMultiProcessors();
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int getGPUMaxThreadsPerMP();
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}
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#include "debug.h"
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#define VALUE_TYPE cuFloatComplex
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#define TYPE_SYMBOL C
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#define TEX_FETCH_TYPE cuFloatComplex
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#include "hell_spmm_base.cuh"
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@ -0,0 +1,35 @@
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/*
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* spGPU - Sparse matrices on GPU library.
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*
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* Copyright (C) 2010 - 2014
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* Davide Barbieri - University of Rome Tor Vergata
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*
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* This program is free software; you can redistribute it and/or
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* modify it under the terms of the GNU General Public License
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* version 3 as published by the Free Software Foundation.
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*
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* This program is distributed in the hope that it will be useful,
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* but WITHOUT ANY WARRANTY; without even the implied warranty of
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* MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
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* GNU General Public License for more details.
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*/
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#include "cudadebug.h"
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#include "cudalang.h"
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#include <stdio.h>
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extern "C"
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{
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#include "core.h"
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#include "hell.h"
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int getGPUSharedMemPerBlock();
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int getGPUMultiProcessors();
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int getGPUMaxThreadsPerMP();
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}
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#include "debug.h"
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#define VALUE_TYPE double
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#define TYPE_SYMBOL D
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#define TEX_FETCH_TYPE int2
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#include "hell_spmm_base.cuh"
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@ -0,0 +1,275 @@
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/*
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* spGPU - Sparse matrices on GPU library.
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*
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* Copyright (C) 2010 - 2015
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* Davide Barbieri - University of Rome Tor Vergata
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*
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* This program is free software; you can redistribute it and/or
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* modify it under the terms of the GNU General Public License
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* version 3 as published by the Free Software Foundation.
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*
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* This program is distributed in the hope that it will be useful,
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* but WITHOUT ANY WARRANTY; without even the implied warranty of
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* MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
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* GNU General Public License for more details.
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*/
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#define PRE_CONCAT(A, B) A ## B
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#define CONCAT(A, B) PRE_CONCAT(A, B)
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#undef GEN_SPGPU_HELL_NAME
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#undef X_TEX
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#define X_TEX CONCAT(x_tex_, FUNC_SUFFIX)
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__device__ __host__ static float zero_float() { return 0.0f; }
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__device__ __host__ static cuFloatComplex zero_cuFloatComplex() { return make_cuFloatComplex(0.0, 0.0); }
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__device__ __host__ static bool float_isNotZero(float x) { return x != 0.0f; }
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__device__ static float float_fma(float a, float b, float c) { return PREC_FADD(PREC_FMUL (a, b), c); }
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__device__ static float float_add(float a, float b) { return PREC_FADD (a, b); }
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__device__ static float float_mul(float a, float b) { return PREC_FMUL (a, b); }
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__device__ static cuFloatComplex cuFloatComplex_fma(cuFloatComplex a, cuFloatComplex b, cuFloatComplex c) { return cuCfmaf(a, b, c); }
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__device__ static cuFloatComplex cuFloatComplex_add(cuFloatComplex a, cuFloatComplex b) { return cuCaddf(a, b); }
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__device__ static cuFloatComplex cuFloatComplex_mul(cuFloatComplex a, cuFloatComplex b) { return cuCmulf(a, b); }
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__device__ static float readValue_float(float fetch) { return fetch; }
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__device__ static cuFloatComplex readValue_cuFloatComplex(cuFloatComplex fetch) { return fetch; }
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// host or c.c >= 1.3
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#if (__CUDA_ARCH__ >= 130) || (!__CUDA_ARCH__)
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__device__ __host__ static double zero_double() { return 0.0; }
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__device__ __host__ static cuDoubleComplex zero_cuDoubleComplex() { return make_cuDoubleComplex(0.0, 0.0); }
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__device__ __host__ static bool double_isNotZero(double x) { return x != 0.0; }
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__device__ static double double_fma(double a, double b, double c) { return PREC_DADD(PREC_DMUL (a, b), c); }
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__device__ static double double_add(double a, double b) { return PREC_DADD (a, b); }
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__device__ static double double_mul(double a, double b) { return PREC_DMUL (a, b); }
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__device__ static cuDoubleComplex cuDoubleComplex_fma(cuDoubleComplex a, cuDoubleComplex b, cuDoubleComplex c) { return cuCfma(a, b, c); }
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__device__ static cuDoubleComplex cuDoubleComplex_add(cuDoubleComplex a, cuDoubleComplex b) { return cuCadd(a, b); }
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__device__ static cuDoubleComplex cuDoubleComplex_mul(cuDoubleComplex a, cuDoubleComplex b) { return cuCmul(a, b); }
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__device__ static double readValue_double(int2 fetch) { return __hiloint2double (fetch.y, fetch.x); }
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__device__ static cuDoubleComplex readValue_cuDoubleComplex(int4 fetch)
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{
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cuDoubleComplex c;
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c.x = __hiloint2double (fetch.y, fetch.x);
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c.y = __hiloint2double (fetch.w, fetch.z);
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return c;
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}
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#endif
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#if 0
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// Texture cache management
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texture < TEX_FETCH_TYPE, 1, cudaReadModeElementType > X_TEX;
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#define bind_tex_x(x) cudaBindTexture(NULL, X_TEX, x)
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#define unbind_tex_x(x) cudaUnbindTexture(X_TEX)
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__device__ static VALUE_TYPE
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fetchTex (int pointer)
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{
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TEX_FETCH_TYPE fetch = tex1Dfetch (X_TEX, pointer);
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return CONCAT(readValue_,VALUE_TYPE) (fetch);
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}
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#endif
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#if __CUDA_ARCH__ < 300
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extern __shared__ int dynShrMem[];
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#endif
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#define GEN_SPGPU_HELL_NAME(x) CONCAT(CONCAT(spgpu,x),hellspmm_vanilla)
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#define GEN_SPGPU_HELL_NAME_VANILLA(x) CONCAT(CONCAT(spgpu,x),hellspmm_vanilla)
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#include "hell_spmm_base_template.cuh"
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#undef GEN_SPGPU_HELL_NAME
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#if 0
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#define GEN_SPGPU_HELL_NAME(x) CONCAT(CONCAT(spgpu,x),hellspmm_prefetch)
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#define GEN_SPGPU_HELL_NAME_PREFETCH(x) CONCAT(CONCAT(spgpu,x),hellspmm_prefetch)
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#undef USE_PREFETCHING
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#define USE_PREFETCHING
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#include "hell_spmm_base_template.cuh"
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#define ENABLE_CACHE
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#undef GEN_SPGPU_HELL_NAME
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#define GEN_SPGPU_HELL_NAME(x) CONCAT(CONCAT(spgpu,x),hellspmm_texcache_prefetch)
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#define GEN_SPGPU_HELL_NAME_TEX_PREFETCH(x) CONCAT(CONCAT(spgpu,x),hellspmm_texcache_prefetch)
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#include "hell_spmm_base_template.cuh"
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#undef GEN_SPGPU_HELL_NAME
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#undef USE_PREFETCHING
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#endif
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#define GEN_SPGPU_HELL_NAME(x) CONCAT(CONCAT(spgpu,x),hellspmm_texcache)
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#define GEN_SPGPU_HELL_NAME_TEX(x) CONCAT(CONCAT(spgpu,x),hellspmm_texcache)
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#include "hell_spmm_base_template.cuh"
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#undef GEN_SPGPU_HELL_NAME
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#define GEN_SPGPU_HELL_NAME(x) CONCAT(CONCAT(spgpu,x),hellspmm)
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#if 0
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void
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GEN_SPGPU_HELL_NAME(TYPE_SYMBOL)
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(spgpuHandle_t handle,
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int count,
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VALUE_TYPE* z,
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int zPitch,
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const VALUE_TYPE *y,
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int yPitch,
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VALUE_TYPE alpha,
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const VALUE_TYPE* cM,
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const int* rP,
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int hackSize,
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const __device int* hackOffsets,
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const __device int* rS,
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const __device int* rIdx,
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int rows,
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const VALUE_TYPE *x,
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int xPitch,
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VALUE_TYPE beta,
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int baseIndex)
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{
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VALUE_TYPE *px,*py, *pz;
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int cnt, c1;
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dim3 block (THREAD_BLOCK, 1);
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// dim3 grid ((rows + THREAD_BLOCK - 1) / THREAD_BLOCK);
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// Should we generalize the code to 1/2/4/8 threads per row?
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// And maybe adjust THREAD_BLOCK size?
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int shrMemSize,maxShmemSz;
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int numMp=getGPUMultiProcessors();
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int maxThMp=getGPUMaxThreadsPerMP();
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int nmblksMp=maxThMp/THREAD_BLOCK;
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int nmblk=nmblksMp*numMp;
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dim3 grid (nmblk);
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maxShmemSz=getGPUSharedMemPerBlock();
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shrMemSize=MMBSZ*THREAD_BLOCK*sizeof(VALUE_TYPE);
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if (shrMemSize > maxShmemSz) {
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fprintf(stderr,"Fatal error: SHMEM size too large %ld %ld\n",shrMemSize,maxShmemSz);
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return;
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}
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cnt = count;
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px = (VALUE_TYPE *) x;
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py = (VALUE_TYPE *) y;
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pz = (VALUE_TYPE *) z;
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while (cnt > 2*MMBSZ) {
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CONCAT(GEN_SPGPU_HELL_NAME(TYPE_SYMBOL), _krn)
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<<< grid, block, shrMemSize, handle->currentStream >>> (MMBSZ, pz, zPitch,py, yPitch,
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alpha, cM, rP, hackSize, hackOffsets,
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rS, rows, px, xPitch, beta, baseIndex);
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px += xPitch*MMBSZ;
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py += yPitch*MMBSZ;
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pz += zPitch*MMBSZ;
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cnt -= MMBSZ;
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}
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if (cnt > MMBSZ) {
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c1 = cnt/2;
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CONCAT(GEN_SPGPU_HELL_NAME(TYPE_SYMBOL), _krn)
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<<< grid, block, shrMemSize, handle->currentStream >>> (c1, pz, zPitch,py, yPitch,
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alpha, cM, rP, hackSize, hackOffsets,
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rS, rows, px, xPitch, beta, baseIndex);
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cnt -= c1;
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}
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if (cnt > MMBSZ) {
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fprintf(stderr,"Invalid residual count %d\n",cnt);
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} else if (cnt > 0){
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CONCAT(GEN_SPGPU_HELL_NAME(TYPE_SYMBOL), _krn)
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<<< grid, block, shrMemSize, handle->currentStream >>> (cnt, pz, zPitch,py, yPitch,
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alpha, cM, rP, hackSize, hackOffsets,
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rS, rows, px, xPitch, beta, baseIndex);
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}
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cudaCheckError("CUDA error on hell_spmm");
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}
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#endif
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void
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GEN_SPGPU_HELL_NAME(TYPE_SYMBOL)
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(spgpuHandle_t handle,
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int count,
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VALUE_TYPE* z,
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int zPitch,
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const VALUE_TYPE *y,
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int yPitch,
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VALUE_TYPE alpha,
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const VALUE_TYPE* cM,
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const int* rP,
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int hackSize,
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const __device int* hackOffsets,
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const __device int* rS,
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const __device int* rIdx,
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int rows,
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const VALUE_TYPE *x,
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int xPitch,
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VALUE_TYPE beta,
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int baseIndex)
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{
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VALUE_TYPE *px,*py, *pz;
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int cnt;
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int maxNForACall = max(handle->maxGridSizeX, THREAD_BLOCK*handle->maxGridSizeX);
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// maxNForACall should be a multiple of hackSize
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maxNForACall = (maxNForACall/hackSize)*hackSize;
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int maxShmemSz;
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maxShmemSz=getGPUSharedMemPerBlock();
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//fprintf(stderr,"MaxSHmemSz %d \n",maxShmemSz);
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while (rows > maxNForACall) {//managing large vectors
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cnt = count;
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px = (VALUE_TYPE *) x;
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py = (VALUE_TYPE *) y;
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pz = (VALUE_TYPE *) z;
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while (cnt > MMBSZ) {
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//fprintf(stderr,"counts %d %d %d : pointers: %p %p %p\n",rows,cnt,MMBSZ,px,py,pz);
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CONCAT(_,GEN_SPGPU_HELL_NAME_VANILLA(TYPE_SYMBOL)) (handle, MMBSZ, pz, zPitch,
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py, yPitch,
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alpha, cM, rP,
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hackSize, hackOffsets,
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rS, rIdx,
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maxNForACall,
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px, xPitch, beta, baseIndex);
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px += xPitch*MMBSZ;
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py += yPitch*MMBSZ;
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pz += zPitch*MMBSZ;
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cnt -= MMBSZ;
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}
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if (cnt >0) {
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CONCAT(_,GEN_SPGPU_HELL_NAME_VANILLA(TYPE_SYMBOL)) (handle, cnt, pz, zPitch,
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py, yPitch,
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alpha, cM, rP,
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hackSize, hackOffsets,
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rS, rIdx,
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maxNForACall,
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px, xPitch, beta, baseIndex);
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}
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y = y + maxNForACall;
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z = z + maxNForACall;
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hackOffsets = hackOffsets + maxNForACall/hackSize;
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rS = rS + maxNForACall;
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rows -= maxNForACall;
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}
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cnt = count;
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px = (VALUE_TYPE *) x;
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py = (VALUE_TYPE *) y;
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pz = (VALUE_TYPE *) z;
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while (cnt > MMBSZ) {
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//fprintf(stderr,"counts %d %d %d : pointers: %p %p %p\n",rows,cnt,MMBSZ,px,py,pz);
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CONCAT(_,GEN_SPGPU_HELL_NAME_VANILLA(TYPE_SYMBOL)) (handle, MMBSZ, pz, zPitch, py, yPitch,
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alpha, cM, rP, hackSize, hackOffsets,
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rS, rIdx, rows,
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px, xPitch, beta, baseIndex);
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px += xPitch*MMBSZ;
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py += yPitch*MMBSZ;
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pz += zPitch*MMBSZ;
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cnt -= MMBSZ;
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}
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if (cnt >0) {
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CONCAT(_,GEN_SPGPU_HELL_NAME_VANILLA(TYPE_SYMBOL)) (handle, cnt, pz, zPitch,
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py, yPitch,
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alpha, cM, rP,
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hackSize, hackOffsets,
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rS, rIdx,
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rows,
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px, xPitch, beta, baseIndex);
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}
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cudaCheckError("CUDA error on hell_spmm");
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}
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@ -0,0 +1,197 @@
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/*
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* spGPU - Sparse matrices on GPU library.
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*
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* Copyright (C) 2010 - 2015
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* Davide Barbieri - University of Rome Tor Vergata
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*
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* This program is free software; you can redistribute it and/or
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* modify it under the terms of the GNU General Public License
|
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* version 3 as published by the Free Software Foundation.
|
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*
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* This program is distributed in the hope that it will be useful,
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* but WITHOUT ANY WARRANTY; without even the implied warranty of
|
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* MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
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* GNU General Public License for more details.
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*/
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#define IDX2
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#define THREAD_BLOCK 128
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#define MMBSZ 8
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#if 0
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__global__ void
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CONCAT(GEN_SPGPU_HELL_NAME(TYPE_SYMBOL), _krn)
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(int count, VALUE_TYPE *z, int zPitch, const VALUE_TYPE *y, int yPitch,
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VALUE_TYPE alpha, const VALUE_TYPE* cM, const int* rP,
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int hackSize, const int* hackOffsets, const int* rS, int rows,
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const VALUE_TYPE *x, int xPitch,
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VALUE_TYPE beta, int baseIndex)
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{
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VALUE_TYPE *pz,*px,*py;
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VALUE_TYPE zProd = CONCAT(zero_,VALUE_TYPE)();
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VALUE_TYPE yVal;
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__shared__ VALUE_TYPE temp[MMBSZ][THREAD_BLOCK];
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int *rrP;
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VALUE_TYPE *rcM;
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unsigned int i = threadIdx.x + blockIdx.x * blockDim.x;
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unsigned int gridSize = gridDim.x * blockDim.x;
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while (i < rows) {
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int j;
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int hackId = i / hackSize;
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int hackLaneId = i % hackSize;
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int hackOffset;
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unsigned int laneId = threadIdx.x % 32;
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if (laneId == 0)
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hackOffset = hackOffsets[hackId];
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//__syncthreads();
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hackOffset = __shfl_sync(0xFFFFFFFF,hackOffset, 0) + hackLaneId;
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rrP = (int *) rP + hackOffset;
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rcM = (VALUE_TYPE *) cM + hackOffset;
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int rowSize = rS[i];
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for (int k=0; k<count; k++) {
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temp[k][threadIdx.x] = CONCAT(zero_,VALUE_TYPE)();
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}
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for (int j = 0; j < rowSize; j++) {
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int pointer;
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VALUE_TYPE value;
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VALUE_TYPE fetch;
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pointer = rrP[0] - baseIndex;
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rrP += hackSize;
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value = rcM[0];
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rcM += hackSize;
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px = (VALUE_TYPE *) x;
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for (int k=0; k<count; k++) {
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fetch = px[pointer];
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temp[k][threadIdx.x] =
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CONCAT(VALUE_TYPE, _fma)(value, fetch, temp[k][threadIdx.x]);
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px = px + xPitch;
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}
|
||||
}
|
||||
// Since z and y are accessed with the same offset by the same thread,
|
||||
// and the write to z follows the y read, y and z can share the same base address (in-place computing).
|
||||
py = (VALUE_TYPE *) y;
|
||||
pz = z;
|
||||
if (CONCAT(VALUE_TYPE, _isNotZero(beta))) {
|
||||
for (int k=0; k<count; k++) {
|
||||
yVal = py[i];
|
||||
pz[i] = CONCAT(VALUE_TYPE, _fma)(beta,
|
||||
yVal, CONCAT(VALUE_TYPE, _mul) (alpha, temp[k][threadIdx.x]));
|
||||
py += yPitch;
|
||||
pz += zPitch;
|
||||
}
|
||||
} else {
|
||||
for (int k=0; k<count; k++) {
|
||||
pz[i] = CONCAT(VALUE_TYPE, _mul) (alpha, temp[k][threadIdx.x]);
|
||||
pz += zPitch;
|
||||
}
|
||||
}
|
||||
|
||||
i += gridSize;
|
||||
}
|
||||
}
|
||||
|
||||
#endif
|
||||
|
||||
__global__ void
|
||||
CONCAT(GEN_SPGPU_HELL_NAME(TYPE_SYMBOL), _krn)
|
||||
(int count, VALUE_TYPE *z, int zPitch, const VALUE_TYPE *y, int yPitch,
|
||||
VALUE_TYPE alpha, const VALUE_TYPE* cM, const int* rP,
|
||||
int hackSize, const int* hackOffsets, const int* rS, int rows,
|
||||
const VALUE_TYPE *x, int xPitch,
|
||||
VALUE_TYPE beta, int baseIndex)
|
||||
{
|
||||
VALUE_TYPE *pz,*px,*py;
|
||||
VALUE_TYPE zProd = CONCAT(zero_,VALUE_TYPE)();
|
||||
VALUE_TYPE yVal;
|
||||
__shared__ VALUE_TYPE temp[MMBSZ][THREAD_BLOCK];
|
||||
|
||||
int i = threadIdx.x + blockIdx.x * (THREAD_BLOCK);
|
||||
|
||||
if (i < rows) {
|
||||
int j;
|
||||
int hackId = i / hackSize;
|
||||
int hackLaneId = i % hackSize;
|
||||
|
||||
int hackOffset;
|
||||
unsigned int laneId = threadIdx.x % 32;
|
||||
if (laneId == 0)
|
||||
hackOffset = hackOffsets[hackId];
|
||||
//__syncthreads();
|
||||
hackOffset = __shfl_sync(0xFFFFFFFF,hackOffset, 0) + hackLaneId;
|
||||
|
||||
rP += hackOffset;
|
||||
cM += hackOffset;
|
||||
|
||||
int rowSize = rS[i];
|
||||
for (int k=0; k<count; k++) {
|
||||
temp[k][threadIdx.x] = CONCAT(zero_,VALUE_TYPE)();
|
||||
}
|
||||
|
||||
for (int j = 0; j < rowSize; j++) {
|
||||
int pointer;
|
||||
VALUE_TYPE value;
|
||||
VALUE_TYPE fetch;
|
||||
|
||||
pointer = rP[0] - baseIndex;
|
||||
rP += hackSize;
|
||||
|
||||
value = cM[0];
|
||||
cM += hackSize;
|
||||
|
||||
px = (VALUE_TYPE *) x;
|
||||
for (int k=0; k<count; k++) {
|
||||
fetch = px[pointer];
|
||||
temp[k][threadIdx.x] =
|
||||
CONCAT(VALUE_TYPE, _fma)(value, fetch, temp[k][threadIdx.x]);
|
||||
px = px + xPitch;
|
||||
}
|
||||
}
|
||||
// Since z and y are accessed with the same offset by the same thread,
|
||||
// and the write to z follows the y read, y and z can share the same base address (in-place computing).
|
||||
py = (VALUE_TYPE *) y;
|
||||
pz = z;
|
||||
if (CONCAT(VALUE_TYPE, _isNotZero(beta)))
|
||||
for (int k=0; k<count; k++) {
|
||||
yVal = py[i];
|
||||
pz[i] = CONCAT(VALUE_TYPE, _fma)(beta, yVal, CONCAT(VALUE_TYPE, _mul) (alpha, temp[k][threadIdx.x]));
|
||||
py += yPitch;
|
||||
pz += zPitch;
|
||||
}
|
||||
else
|
||||
for (int k=0; k<count; k++) {
|
||||
pz[i] = CONCAT(VALUE_TYPE, _mul) (alpha, temp[k][threadIdx.x]);
|
||||
pz += zPitch;
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
|
||||
void
|
||||
CONCAT(_,GEN_SPGPU_HELL_NAME(TYPE_SYMBOL))
|
||||
(spgpuHandle_t handle, int count, VALUE_TYPE* z, int zPitch, const VALUE_TYPE *y, int yPitch,
|
||||
VALUE_TYPE alpha, const VALUE_TYPE* cM, const int* rP, int hackSize, const int* hackOffsets,
|
||||
const int* rS, const __device int* rIdx, int rows,
|
||||
const VALUE_TYPE *x, int xPitch, VALUE_TYPE beta, int baseIndex)
|
||||
{
|
||||
dim3 block (THREAD_BLOCK, 1);
|
||||
dim3 grid ((rows + THREAD_BLOCK - 1) / THREAD_BLOCK);
|
||||
// Should we generalize the code to 1/2/4/8 threads per row?
|
||||
// And maybe adjust THREAD_BLOCK size?
|
||||
int shrMemSize,maxShmemSz;
|
||||
maxShmemSz=getGPUSharedMemPerBlock();
|
||||
shrMemSize=MMBSZ*THREAD_BLOCK*sizeof(VALUE_TYPE);
|
||||
CONCAT(GEN_SPGPU_HELL_NAME(TYPE_SYMBOL), _krn)
|
||||
<<< grid, block, shrMemSize, handle->currentStream >>> (count, z, zPitch,y, yPitch,
|
||||
alpha, cM, rP, hackSize, hackOffsets, rS, rows,
|
||||
x, xPitch, beta, baseIndex);
|
||||
}
|
||||
@ -0,0 +1,34 @@
|
||||
/*
|
||||
* spGPU - Sparse matrices on GPU library.
|
||||
*
|
||||
* Copyright (C) 2010 - 2014
|
||||
* Davide Barbieri - University of Rome Tor Vergata
|
||||
*
|
||||
* This program is free software; you can redistribute it and/or
|
||||
* modify it under the terms of the GNU General Public License
|
||||
* version 3 as published by the Free Software Foundation.
|
||||
*
|
||||
* This program is distributed in the hope that it will be useful,
|
||||
* but WITHOUT ANY WARRANTY; without even the implied warranty of
|
||||
* MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
|
||||
* GNU General Public License for more details.
|
||||
*/
|
||||
|
||||
#include "cudadebug.h"
|
||||
#include "cudalang.h"
|
||||
|
||||
extern "C"
|
||||
{
|
||||
#include "core.h"
|
||||
#include "hell.h"
|
||||
int getGPUSharedMemPerBlock();
|
||||
int getGPUMultiProcessors();
|
||||
int getGPUMaxThreadsPerMP();
|
||||
}
|
||||
|
||||
#include "debug.h"
|
||||
|
||||
#define VALUE_TYPE float
|
||||
#define TYPE_SYMBOL S
|
||||
#define TEX_FETCH_TYPE float
|
||||
#include "hell_spmm_base.cuh"
|
||||
@ -0,0 +1,35 @@
|
||||
/*
|
||||
* spGPU - Sparse matrices on GPU library.
|
||||
*
|
||||
* Copyright (C) 2010 - 2014
|
||||
* Davide Barbieri - University of Rome Tor Vergata
|
||||
*
|
||||
* This program is free software; you can redistribute it and/or
|
||||
* modify it under the terms of the GNU General Public License
|
||||
* version 3 as published by the Free Software Foundation.
|
||||
*
|
||||
* This program is distributed in the hope that it will be useful,
|
||||
* but WITHOUT ANY WARRANTY; without even the implied warranty of
|
||||
* MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
|
||||
* GNU General Public License for more details.
|
||||
*/
|
||||
|
||||
#include "cudadebug.h"
|
||||
#include "cudalang.h"
|
||||
#include "cuComplex.h"
|
||||
|
||||
extern "C"
|
||||
{
|
||||
#include "core.h"
|
||||
#include "hell.h"
|
||||
int getGPUSharedMemPerBlock();
|
||||
int getGPUMultiProcessors();
|
||||
int getGPUMaxThreadsPerMP();
|
||||
}
|
||||
|
||||
#include "debug.h"
|
||||
|
||||
#define VALUE_TYPE cuDoubleComplex
|
||||
#define TYPE_SYMBOL Z
|
||||
#define TEX_FETCH_TYPE int4
|
||||
#include "hell_spmm_base.cuh"
|
||||
Loading…
Reference in New Issue