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/***************************************************************************
*cr
*cr (C) Copyright 2015 The Board of Trustees of the
*cr University of Illinois
*cr All Rights Reserved
*cr
***************************************************************************/
/*
In-Place Data Sliding Algorithms for Many-Core Architectures, presented in ICPP’15
Copyright (c) 2015 University of Illinois at Urbana-Champaign.
All rights reserved.
Permission to use, copy, modify and distribute this software and its documentation for
educational purpose is hereby granted without fee, provided that the above copyright
notice and this permission notice appear in all copies of this software and that you do
not sell the software.
THE SOFTWARE IS PROVIDED "AS IS" AND WITHOUT WARRANTY OF ANY KIND,EXPRESS, IMPLIED OR
OTHERWISE.
Authors: Juan Gómez-Luna (el1goluj@uco.es, gomezlun@illinois.edu), Li-Wen Chang (lchang20@illinois.edu)
*/
#include "ds.h"
#include "kernel.cu"
// Sequential CPU version
void cpu_unique(T* output, T* input, int elements){
int j = 0;
output[j] = input[j];
j++;
for (int i = 1; i < elements; i++){
if (input[i] != input[i-1]){
output[j] = input[i];
j++;
}
}
}
int main(int argc, char **argv){
// Syntax verification
if (argc != 4) {
printf("Wrong format\n");
printf("Syntax: %s <Device Input (%% elements) numElements>\n",argv[0]);
exit(1);
}
int device = atoi(argv[1]);
int input = atoi(argv[2]);
int numElements = atoi(argv[3]);
size_t size = numElements * sizeof(T);
// Set device
cudaDeviceProp device_properties;
cudaGetDeviceProperties(&device_properties,device);
cudaSetDevice(device);
printf("DS Unique on %s\n", device_properties.name);
printf("Thread block size = %d\n", L_DIM);
printf("Coarsening factor = %d\n", REGS);
#ifdef FLOAT
printf("Single precision array: %d elements\n", numElements);
#elif INT
printf("Integer array: %d elements\n", numElements);
#else
printf("Double precision array: %d elements\n", numElements);
#endif
// Event creation
cudaEvent_t start, stop;
cudaEventCreate(&start);
cudaEventCreate(&stop);
float time1 = 0;
float time2 = 0;
// Allocate the host input vector A
T *h_A = (T*)malloc(size);
// Allocate the host output vectors
T *h_B = (T*)malloc(size);
T *h_C = (T*)malloc(size);
// Allocate the device input vector A
T *d_A = NULL;
cudaMalloc((void **)&d_A, size);
#define WARMUP 0
#define REP 1
int value1 = 0;
int value2 = 1;
int value3 = 2;
int value4 = 3;
unsigned int flagM = 0;
for(int iteration = 0; iteration < REP+WARMUP; iteration++){
// Initialize the host input vectors
srand(2014);
for(int i = 0; i < numElements; i++){
h_A[i] = value1;
if(i >= numElements/4 && i < numElements/2) h_A[i] = value2;
if(i >= numElements/2 && i < 3*numElements/4) h_A[i] = value3;
if(i >= 3*numElements/4 && i < numElements) h_A[i] = value4;
}
int M = (numElements * input)/100;
int m = M;
while(m>0){
int x = (int)(numElements*(((float)rand()/(float)RAND_MAX)));
if(h_A[x]==value1 || h_A[x]==value2 || h_A[x]==value3 || h_A[x]==value4){
h_A[x] = x+2;
m--;
}
}
#if PRINT
printf("\n");
for(int i = 0; i < numElements; ++i){
printf("%d ",*(h_A+i));
}
printf("\n");
#endif
// Copy the host input vector A in host memory to the device input vector in device memory
cudaMemcpy(d_A, h_A, size, cudaMemcpyHostToDevice);
int ldim = L_DIM;
// Atomic flags
unsigned int* d_flags = NULL;
int num_flags = numElements % (ldim * REGS) == 0 ? numElements / (ldim * REGS) : numElements / (ldim * REGS) + 1;
unsigned int *flags = (unsigned int *)calloc(sizeof(unsigned int), num_flags + 2);
flags[0] = 1;
flags[num_flags + 1] = 0;
cudaMalloc((void **)&d_flags, (num_flags + 2) * sizeof(unsigned int));
cudaMemcpy(d_flags, flags, (num_flags + 2) * sizeof(unsigned int), cudaMemcpyHostToDevice);
free(flags);
// Number of work-groups/thread blocks
int num_wg = num_flags;
// Start timer
cudaEventRecord( start, 0 );
// Kernel launch
unique<<<num_wg, ldim>>>(d_A, d_A, numElements, d_flags);
cudaMemcpy(&flagM, d_flags + num_flags, sizeof(unsigned int), cudaMemcpyDeviceToHost);
// End timer
cudaEventRecord( stop, 0 );
cudaEventSynchronize( stop );
cudaEventElapsedTime( &time1, start, stop );
if(iteration >= WARMUP) time2 += time1;
if(iteration == REP+WARMUP-1){
float timer = time2 / REP;
double bw = (double)((numElements + flagM) * sizeof(T)) / (double)(timer * 1000000.0);
printf("Execution time = %f ms, Throughput = %f GB/s\n", timer, bw);
}
// Free flags
cudaFree(d_flags);
}
// Copy to host memory
cudaMemcpy(h_B, d_A, size, cudaMemcpyDeviceToHost);
// CPU execution for comparison
cpu_unique(h_C, h_A, numElements);
// Verify that the result vector is correct
#if PRINT
for(int i = 0; i < numElements; ++i){
printf("%d ",*(h_B+i));
}
printf("\n");
for(int i = 0; i < numElements; ++i){
printf("%d ",*(h_C+i));
}
printf("\n");
#endif
for (int i = 0; i < flagM - 1; ++i){
if (h_B[i] != h_C[i]){
fprintf(stderr, "Result verification failed at element %d!\n", i);
exit(EXIT_FAILURE);
}
}
printf("Test PASSED\n");
// Free device global memory
cudaFree(d_A);
cudaEventDestroy(start);
cudaEventDestroy(stop);
// Free host memory
free(h_A);
free(h_B);
free(h_C);
return 0;
}
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