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mp3.cc
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mp3.cc
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// MP 3: Due Sunday, Dec 30, 2012 at 11:59 p.m. PST
#include <wb.h>
#define wbCheck(stmt) do { \
cudaError_t err = stmt; \
if (err != cudaSuccess) { \
wbLog(ERROR, "Failed to run stmt ", #stmt); \
return -1; \
} \
} while(0)
#define tile_width 8
#define tile_height 8
#define TILE_WIDTH 8
// Compute C = A * B
__global__ void matrixMultiplyShared(float * A, float * B, float * C,
int numARows, int numAColumns,
int numBRows, int numBColumns,
int numCRows, int numCColumns) {
//@@ Insert code to implement matrix multiplication here
//@@ You have to use shared memory for this MP
}
int main(int argc, char ** argv) {
wbArg_t args;
float * hostA; // The A matrix
float * hostB; // The B matrix
float * hostC; // The output C matrix
float * deviceA;
float * deviceB;
float * deviceC;
int numARows; // number of rows in the matrix A
int numAColumns; // number of columns in the matrix A
int numBRows; // number of rows in the matrix B
int numBColumns; // number of columns in the matrix B
int numCRows; // number of rows in the matrix C (you have to set this)
int numCColumns; // number of columns in the matrix C (you have to set this)
args = wbArg_read(argc, argv);
wbTime_start(Generic, "Importing data and creating memory on host");
hostA = (float *) wbImport(wbArg_getInputFile(args, 0), &numARows, &numAColumns);
hostB = (float *) wbImport(wbArg_getInputFile(args, 1), &numBRows, &numBColumns);
//@@ Set numCRows and numCColumns
numCRows = numARows;
numCColumns = numBColumns;
wbLog(DEBUG, "ARow ", numARows);
wbLog(DEBUG, "AColumn ", numAColumns);
//@@ Allocate the hostC matrix
hostC =(float *) malloc (numCRows * numCColumns * sizeof(float) );
if (NULL == hostC) {
wbLog(ERROR, "Failed to allocate hostC memory");
return -1;
}
wbTime_stop(Generic, "Importing data and creating memory on host");
wbLog(TRACE, "The dimensions of A are ", numARows, " x ", numAColumns);
wbLog(TRACE, "The dimensions of B are ", numBRows, " x ", numBColumns);
wbTime_start(GPU, "Allocating GPU memory.");
//@@ Allocate GPU memory here
wbCheck(cudaMalloc((void **) &deviceA,numARows * numAColumns * sizeof(float) ));
wbCheck(cudaMalloc((void **) &deviceB,numBRows * numBColumns * sizeof(float) ));
wbCheck(cudaMalloc((void **) &deviceC,numCRows * numCColumns * sizeof(float) ));
wbTime_stop(GPU, "Allocating GPU memory.");
wbTime_start(GPU, "Copying input memory to the GPU.");
//@@ Copy memory to the GPU here
wbCheck(cudaMemcpy(deviceA, hostA,numARows * numAColumns * sizeof(float) , cudaMemcpyHostToDevice));
wbCheck(cudaMemcpy(deviceB, hostB,numBRows * numBColumns * sizeof(float) , cudaMemcpyHostToDevice));
wbTime_stop(GPU, "Copying input memory to the GPU.");
//@@ Initialize the grid and block dimensions here
dim3 dimGrid(ceil(numCColumns/(float) tile_width), ceil(numCRows/(float) tile_height), 1) ;
dim3 dimBlock( tile_width, tile_height,1);
wbTime_start(Compute, "Performing CUDA computation");
//@@ Launch the GPU Kernel here
#ifndef CUDA_EMU
matrixMultiplyShared <<< dimGrid , dimBlock >>> (deviceA, deviceB, deviceC, numARows, numAColumns, numBRows, numBColumns, numCRows, numCColumns);
#else
setupCudaSim (dimGrid , dimBlock , boost::bind(matrixMultiplyShared,deviceA,deviceB,deviceC,numARows, numAColumns, numBRows, numBColumns, numCRows, numCColumns));
#endif
cudaThreadSynchronize();
wbTime_stop(Compute, "Performing CUDA computation");
wbTime_start(Copy, "Copying output memory to the CPU");
//@@ Copy the GPU memory back to the CPU here
wbCheck(cudaMemcpy(hostC, deviceC,numCRows * numCColumns * sizeof(float) , cudaMemcpyDeviceToHost));
wbTime_stop(Copy, "Copying output memory to the CPU");
wbTime_start(GPU, "Freeing GPU Memory");
//@@ Free the GPU memory here
wbCheck(cudaFree(deviceA));
wbCheck(cudaFree(deviceB));
wbCheck(cudaFree(deviceC));
wbTime_stop(GPU, "Freeing GPU Memory");
wbSolution(args, hostC, numCRows, numCColumns);
free(hostA);
free(hostB);
free(hostC);
return 0;
}