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90 lines
2.4 KiB
Plaintext
90 lines
2.4 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_FUNC_NAME
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#define GEN_SPGPU_FUNC_NAME(x) CONCAT(CONCAT(spgpu,x),scat)
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#define BLOCK_SIZE 256
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// Define:
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//#define VALUE_TYPE
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//#define TYPE_SYMBOL
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#include "mathbase.cuh"
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__global__ void
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CONCAT(GEN_SPGPU_FUNC_NAME(TYPE_SYMBOL),_kern)
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(VALUE_TYPE* vector, int count, const int* indices, const VALUE_TYPE* values, int firstIndex, VALUE_TYPE beta)
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{
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int id = threadIdx.x + BLOCK_SIZE*blockIdx.x;
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if (id < count)
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{
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int pos = indices[id]-firstIndex;
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if (pos < 0)
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return;
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if (CONCAT(VALUE_TYPE, _isNotZero(beta)))
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vector[pos] = CONCAT(VALUE_TYPE, _fma)(beta, vector[pos], values[id]);
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else
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vector[pos] = values[id];
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}
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}
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void
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CONCAT(GEN_SPGPU_FUNC_NAME(TYPE_SYMBOL),_)
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(spgpuHandle_t handle, VALUE_TYPE* y, int xNnz, const VALUE_TYPE *xValues,
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const __device int *xIndices, int xBaseIndex, VALUE_TYPE beta)
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{
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int msize = (xNnz+BLOCK_SIZE-1)/BLOCK_SIZE;
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dim3 block(BLOCK_SIZE);
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dim3 grid(msize);
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CONCAT(GEN_SPGPU_FUNC_NAME(TYPE_SYMBOL),_kern)<<<grid, block, 0, handle->currentStream>>>(y, xNnz, xIndices, xValues, xBaseIndex, beta);
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}
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void
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GEN_SPGPU_FUNC_NAME(TYPE_SYMBOL)
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(spgpuHandle_t handle,
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__device VALUE_TYPE* y,
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int xNnz,
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const __device VALUE_TYPE *xValues,
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const __device int *xIndices,
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int xBaseIndex,
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VALUE_TYPE beta)
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{
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int maxNForACall = max(handle->maxGridSizeX, BLOCK_SIZE*handle->maxGridSizeX);
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while (xNnz > maxNForACall) //managing large vectors
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{
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CONCAT(GEN_SPGPU_FUNC_NAME(TYPE_SYMBOL),_)
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(handle, y, maxNForACall, xValues, xIndices, xBaseIndex, beta);
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xIndices += maxNForACall;
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xValues += maxNForACall;
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xNnz -= maxNForACall;
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}
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CONCAT(GEN_SPGPU_FUNC_NAME(TYPE_SYMBOL),_)
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(handle, y, xNnz, xValues, xIndices, xBaseIndex, beta);
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cudaCheckError("CUDA error on scat");
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}
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