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transpose-cuda-coalesce.cu
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transpose-cuda-coalesce.cu
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/*
* transpose an array - using a cuda device, use coalescing
*/
#include <stdio.h>
#include <stdlib.h>
__global__ void cudaTransposeCoalesce(float* out, float *in, int size);
void startClock(char*);
void stopClock(char*);
void printClock(char*);
#define DIM 1024
int main(int argc, char** argv) {
float *h_in;
float *h_out;
h_in = (float*) malloc(DIM*DIM*sizeof(float));
h_out =(float*) malloc(DIM*DIM*sizeof(float));
void *d_in;
void *d_out;
cudaMalloc(&d_in,DIM*DIM*sizeof(float));
cudaMalloc(&d_out,DIM*DIM*sizeof(float));
int value = 1;
for (int i = 0; i < DIM; i++) {
for (int j = 0; j < DIM; j++) {
h_in[i + j*DIM] = value++;
}
}
startClock("copy in");
cudaMemcpy(d_in,h_in,DIM*DIM*sizeof(float),cudaMemcpyHostToDevice);
stopClock("copy in");
startClock("compute");
int tileSize = 8;
int tempMem = tileSize*tileSize*sizeof(float);
dim3 blocks(128,128,1);
dim3 threads(8,8);
cudaTransposeCoalesce<<<blocks,threads,tempMem>>>((float*)d_out,(float*)d_in,DIM);
cudaThreadSynchronize();
stopClock("compute");
startClock("copy out");
cudaMemcpy(h_out,d_out,DIM*DIM*sizeof(float),cudaMemcpyDeviceToHost);
stopClock("copy out");
// sanity check
for (int i = 0; i < DIM; i++) {
for (int j = 0; j < DIM; j++) {
if (h_in[i + j*DIM] != h_out[i*DIM + j]) {
printf("ERROR");
exit(1);
}
}
}
free(h_in);
free(h_out);
cudaFree(d_in);
cudaFree(d_out);
printClock("copy in");
printClock("compute");
printClock("copy out");
}
__global__ void cudaTransposeCoalesce(float* out, float* in, int size) {
__shared__ float shared[1024];
// starting points inside the input data
int iStart = blockDim.x*blockIdx.x;
int jStart = blockDim.y*blockIdx.y;
// let adjacent threads pick up adjacent items from input
// transpose on the fly
float data = in[iStart + threadIdx.x + (jStart + threadIdx.y)*size];
shared[threadIdx.y + threadIdx.x*blockDim.x] = data;
__syncthreads();
// ok now put them back to out, but travel with the grain!
int temp = jStart;
jStart = iStart;
iStart = temp;
out[iStart + threadIdx.x + (jStart + threadIdx.y)*size] = shared[threadIdx.x + threadIdx.y*blockDim.y];
}