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83 lines
1.9 KiB
Plaintext
83 lines
1.9 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),setscal)
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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, VALUE_TYPE val)
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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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vector[id] = val;
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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,
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int n, VALUE_TYPE val, __device VALUE_TYPE* y)
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{
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int msize = (n+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, n, val);
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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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int first,
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int last,
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int baseIndex,
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VALUE_TYPE val,
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__device VALUE_TYPE* y)
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{
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int maxNForACall = max(handle->maxGridSizeX, BLOCK_SIZE*handle->maxGridSizeX);
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int n=last-first+1;
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y += (first-baseIndex);
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while (n > maxNForACall) //managing large vectors
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{
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CONCAT(GEN_SPGPU_FUNC_NAME(TYPE_SYMBOL),_)
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(handle, maxNForACall, val,y);
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y += maxNForACall;
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n -= maxNForACall;
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}
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CONCAT(GEN_SPGPU_FUNC_NAME(TYPE_SYMBOL),_)
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(handle, n, val,y);
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cudaCheckError("CUDA error on scat");
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}
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