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155 lines
6.3 KiB
Plaintext
155 lines
6.3 KiB
Plaintext
/*
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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_ELL_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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#define GEN_SPGPU_ELL_NAME(x) CONCAT(CONCAT(spgpu,x),ellspmv_vanilla)
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#define GEN_SPGPU_ELL_NAME_VANILLA(x) CONCAT(CONCAT(spgpu,x),ellspmv_vanilla)
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#include "ell_spmv_base_template.cuh"
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#if 0
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#undef GEN_SPGPU_ELL_NAME
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#define GEN_SPGPU_ELL_NAME(x) CONCAT(CONCAT(spgpu,x),ellspmv_prefetch)
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#define GEN_SPGPU_ELL_NAME_PREFETCH(x) CONCAT(CONCAT(spgpu,x),ellspmv_prefetch)
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#undef USE_PREFETCHING
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#define USE_PREFETCHING
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#include "ell_spmv_base_template.cuh"
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#define ENABLE_CACHE
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#undef GEN_SPGPU_ELL_NAME
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#define GEN_SPGPU_ELL_NAME(x) CONCAT(CONCAT(spgpu,x),ellspmv_texcache_prefetch)
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#define GEN_SPGPU_ELL_NAME_TEX_PREFETCH(x) CONCAT(CONCAT(spgpu,x),ellspmv_texcache_prefetch)
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#include "ell_spmv_base_template.cuh"
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#undef GEN_SPGPU_ELL_NAME
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#undef USE_PREFETCHING
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#define GEN_SPGPU_ELL_NAME(x) CONCAT(CONCAT(spgpu,x),ellspmv_texcache)
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#define GEN_SPGPU_ELL_NAME_TEX(x) CONCAT(CONCAT(spgpu,x),ellspmv_texcache)
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#include "ell_spmv_base_template.cuh"
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#endif
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#undef GEN_SPGPU_ELL_NAME
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#define GEN_SPGPU_ELL_NAME(x) CONCAT(CONCAT(spgpu,x),ellspmv)
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void
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GEN_SPGPU_ELL_NAME(TYPE_SYMBOL)
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(spgpuHandle_t handle,
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VALUE_TYPE* z,
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const VALUE_TYPE *y,
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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 cMPitch,
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int rPPitch,
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const int* rS,
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const __device int* rIdx,
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int avgNnzPerRow,
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int maxNnzPerRow,
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int rows,
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const VALUE_TYPE *x,
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VALUE_TYPE beta,
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int baseIndex)
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{
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int maxNForACall = max(handle->maxGridSizeX, THREAD_BLOCK*handle->maxGridSizeX);
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while (rows > maxNForACall) //managing large vectors
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{
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#if 0
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if (avgNnzPerRow < 10 && handle->capabilityMajor > 1)
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#endif
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CONCAT(_,GEN_SPGPU_ELL_NAME_VANILLA(TYPE_SYMBOL)) (handle, z, y, alpha, cM, rP, cMPitch, rPPitch, rS, rIdx, avgNnzPerRow, maxNnzPerRow, maxNForACall, x, beta, baseIndex);
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#if 0
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else if (avgNnzPerRow < 20)
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CONCAT(_,GEN_SPGPU_ELL_NAME_TEX(TYPE_SYMBOL)) (handle, z, y, alpha, cM, rP, cMPitch, rPPitch, rS, rIdx, avgNnzPerRow, maxNnzPerRow, maxNForACall, x, beta, baseIndex);
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else
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CONCAT(_,GEN_SPGPU_ELL_NAME_TEX_PREFETCH(TYPE_SYMBOL)) (handle, z, y, alpha, cM, rP, cMPitch, rPPitch, rS, rIdx, avgNnzPerRow, maxNnzPerRow, maxNForACall, x, beta, baseIndex);
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#endif
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y = y + maxNForACall;
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z = z + maxNForACall;
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cM = cM + maxNForACall;
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rP = rP + maxNForACall;
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rS = rS + maxNForACall;
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rows -= maxNForACall;
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}
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#if 0
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if (avgNnzPerRow < 10 && handle->capabilityMajor > 1)
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#endif
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CONCAT(_,GEN_SPGPU_ELL_NAME_VANILLA(TYPE_SYMBOL)) (handle, z, y, alpha, cM, rP, cMPitch, rPPitch, rS, rIdx, avgNnzPerRow, maxNnzPerRow, rows, x, beta, baseIndex);
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#if 0
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else if (avgNnzPerRow < 20)
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CONCAT(_,GEN_SPGPU_ELL_NAME_TEX(TYPE_SYMBOL)) (handle, z, y, alpha, cM, rP, cMPitch, rPPitch, rS, rIdx, avgNnzPerRow, maxNnzPerRow, rows, x, beta, baseIndex);
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else
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CONCAT(_,GEN_SPGPU_ELL_NAME_TEX_PREFETCH(TYPE_SYMBOL)) (handle, z, y, alpha, cM, rP, cMPitch, rPPitch, rS, rIdx, avgNnzPerRow, maxNnzPerRow, rows, x, beta, baseIndex);
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#endif
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cudaCheckError("CUDA error on ell_spmv");
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}
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