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84 lines
2.1 KiB
Plaintext
84 lines
2.1 KiB
Plaintext
/*
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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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#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),scal)
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#define THREAD_BLOCK 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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#define BLOCK_SIZE 256
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__global__ void
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CONCAT(GEN_SPGPU_FUNC_NAME(TYPE_SYMBOL), _krn)
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(VALUE_TYPE *y, int n, VALUE_TYPE alpha, VALUE_TYPE* x)
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{
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int id = threadIdx.x + BLOCK_SIZE*blockIdx.x;
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// Since x and y are accessed with the same offset by the same thread,
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// and the write to y follows the x read, x and y can share the same base address (in-place computing).
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if (id < n)
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{
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y[id] = CONCAT(VALUE_TYPE, _mul)(alpha, x[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 n, VALUE_TYPE alpha, VALUE_TYPE* x)
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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), _krn)
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<<<grid, block, 0, handle->currentStream>>>(y, n, alpha, x);
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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 n,
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VALUE_TYPE alpha,
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__device VALUE_TYPE *x)
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{
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int maxNForACall = max(handle->maxGridSizeX, THREAD_BLOCK*handle->maxGridSizeX);
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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))(handle, y, maxNForACall, alpha, x);
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x = x + maxNForACall;
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y = y + maxNForACall;
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n -= maxNForACall;
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}
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CONCAT(_,GEN_SPGPU_FUNC_NAME(TYPE_SYMBOL))(handle, y, n, alpha, x);
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cudaCheckError("CUDA error on scal");
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}
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