Source code that accompanies The CUDA Handbook.
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/*
*
* histogramPerThread4x64.cuh
*
* Implementation of histogram that uses 8-bit privatized counters
* and uses 32-bit increments to process them.
* This version is the same as histogramPerThread64.cuh,
* but unrolls the inner loop 4x. That requires the number of blocks
* to be adjusted upward, accordingly, to keep the counters from
* rolling over.
*
* Requires: SM 1.2, for shared atomics.
*
* Copyright (c) 2013, Archaea Software, LLC.
* All rights reserved.
*
* Redistribution and use in source and binary forms, with or without
* modification, are permitted provided that the following conditions
* are met:
*
* 1. Redistributions of source code must retain the above copyright
* notice, this list of conditions and the following disclaimer.
* 2. Redistributions in binary form must reproduce the above copyright
* notice, this list of conditions and the following disclaimer in
* the documentation and/or other materials provided with the
* distribution.
*
* THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS
* "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT
* LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS
* FOR A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE
* COPYRIGHT OWNER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT,
* INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING,
* BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES;
* LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER
* CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT
* LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN
* ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE
* POSSIBILITY OF SUCH DAMAGE.
*
*/
template<bool bPeriodicMerge>
__global__ void
histogram1DPerThread4x64(
unsigned int *pHist,
const unsigned char *base, size_t N )
{
extern __shared__ unsigned int privHist[];
const int blockDimx = 64;
if ( blockDim.x != blockDimx ) return;
for ( int i = threadIdx.x;
i < 64*blockDimx;
i += blockDimx ) {
privHist[i] = 0;
}
__syncthreads();
int cIterations = 0;
for ( int i = blockIdx.x*blockDimx+threadIdx.x;
i < N/4;
i += blockDimx*gridDim.x ) {
unsigned int value = ((unsigned int *) base)[i];
incPrivatized32Element( value & 0xff ); value >>= 8;
incPrivatized32Element( value & 0xff ); value >>= 8;
incPrivatized32Element( value & 0xff ); value >>= 8;
incPrivatized32Element( value );
cIterations += 1;
if ( bPeriodicMerge && cIterations>=252/4 ) {
cIterations = 0;
__syncthreads();
merge64HistogramsToOutput<true>( pHist );
}
}
__syncthreads();
merge64HistogramsToOutput<false>( pHist );
}
template<bool bPeriodicMerge>
void
GPUhistogramPerThread4x64(
float *ms,
unsigned int *pHist,
const unsigned char *dptrBase, size_t dPitch,
int x, int y,
int w, int h,
dim3 threads )
{
cudaError_t status;
cudaEvent_t start = 0, stop = 0;
int numthreads = threads.x*threads.y;
int numblocks = bPeriodicMerge ? 256 : INTDIVIDE_CEILING( w*h, numthreads*(255/4) );
cuda(EventCreate( &start ) );
cuda(EventCreate( &stop ) );
cuda(Memset( pHist, 0, 256*sizeof(unsigned int) ) );
cuda(EventRecord( start, 0 ) );
histogram1DPerThread4x64<bPeriodicMerge><<<numblocks,numthreads,numthreads*256>>>( pHist, dptrBase, w*h );
cuda(EventRecord( stop, 0 ) );
cuda(DeviceSynchronize() );
cuda(EventElapsedTime( ms, start, stop ) );
Error:
cudaEventDestroy( start );
cudaEventDestroy( stop );
return;
}
void
GPUhistogramPerThread4x64(
float *ms,
unsigned int *pHist,
const unsigned char *dptrBase, size_t dPitch,
int x, int y,
int w, int h,
dim3 threads )
{
GPUhistogramPerThread4x64<false>( ms, pHist, dptrBase, dPitch, x, y, w, h, threads );
}
void
GPUhistogramPerThread4x64_PeriodicMerge(
float *ms,
unsigned int *pHist,
const unsigned char *dptrBase, size_t dPitch,
int x, int y,
int w, int h,
dim3 threads )
{
GPUhistogramPerThread4x64<true>( ms, pHist, dptrBase, dPitch, x, y, w, h, threads );
}