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main.cu
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239 lines (185 loc) · 8.66 KB
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#include <math.h>
#include <stdio.h>
#include <stdlib.h>
#include <sys/time.h>
#include <time.h>
#include "constants.h"
#include "kernels.cu.h"
#define smaxof(t) (((0x1ULL << ((sizeof(t) * 8ULL) - 1ULL)) - 1ULL) | \
(0x7ULL << ((sizeof(t) * 8ULL) - 4ULL)))
/*
Sorts data with parallel adaptive bitonic sort.
*/
template<class OpTp>
void IBR_binotic_sort(
typename OpTp::ElTp *&d_keys, typename OpTp::ElTp *&d_keysBuffer, interval_t *d_intervals, interval_t *d_intervalsBuffer, int arrayLength
)
{
int numBlocks, numThreads, sharedMemSize;
int elemsPerBlock = N_THREADS * ELEMS_PER_THREAD; //1024
int stagesInMemory = log2((double)(elemsPerBlock));
int stagesAll = log2((double)arrayLength);
int stagesBitonicSort = min(stagesAll, stagesInMemory); // 10 if arrlen > 1024
//=========================================================================================
//=====================================BS_firstStages======================================
//=========================================================================================
// note that this does only stagesBitonicSort (log(1024) = 10) stages
// if arrlen <= 1024, only regular bitonic sort (BS_firstStages) is used
sharedMemSize = elemsPerBlock * sizeof(*d_keys);
numBlocks = arrayLength / elemsPerBlock;
numThreads = N_THREADS;
BS_firstStagesKernel<OpTp><<<numBlocks, numThreads, sharedMemSize>>>(d_keys);
//=========================================================================================
//=========================================================================================
//=========================================================================================
// picks up where BS_firstStages left of if any elements left
for (int stage = stagesBitonicSort + 1; stage <= stagesAll; stage++)
{
//=========================================================================================
//=================================BS_2_IBR + IBR_stages===================================
//=========================================================================================
int stepStart = stage;
int stepEnd = max((double)stagesInMemory, (double)stepStart - stagesInMemory);
int intervalsLen = 1 << (stagesAll - stepEnd);
numThreads = min((intervalsLen - 1) / ELEMS_PER_THREAD + 1, N_THREADS);
numBlocks = (intervalsLen - 1) / (ELEMS_PER_THREAD * numThreads) + 1;
// "2 *" because of BUFFER MEMORY for intervals
sharedMemSize = 2 * ELEMS_PER_THREAD * numThreads * sizeof(interval_t);
// BS_2_IBR + IBR_stages
IBRKernel<OpTp><<<numBlocks, numThreads, sharedMemSize>>>(d_keys, d_intervals, arrayLength, stepStart, stepEnd);
// picks up where the previous call left off if it did not fully fit in shared memory
// with 1024 elements per block, this step is only going to be called after 20 stages
while (stepEnd > stagesInMemory)
{
interval_t *tempIntervals = d_intervals;
d_intervals = d_intervalsBuffer;
d_intervalsBuffer = tempIntervals;
stepStart = stepEnd;
stepEnd = max((double)stagesInMemory, (double)stepStart - stagesInMemory);
intervalsLen = 1 << (stagesAll - stepEnd);
numThreads = min((intervalsLen - 1) / ELEMS_PER_THREAD + 1, N_THREADS);
numBlocks = (intervalsLen - 1) / (ELEMS_PER_THREAD * numThreads) + 1;
// "2 *" because of BUFFER MEMORY for intervals
sharedMemSize = 2 * ELEMS_PER_THREAD * numThreads * sizeof(interval_t);
// only IBR_stages
IBRContKernel<OpTp><<<numBlocks, numThreads, sharedMemSize>>>(d_keys, d_intervalsBuffer, d_intervals, arrayLength, stage, stepStart, stepEnd);
}
//=========================================================================================
//=========================================================================================
//=========================================================================================
//=========================================================================================
//========================================IBR_2_BS=========================================
//=========================================================================================
// uses the intervals to merge the blocks for that phase
// uses regular bitonic merge
sharedMemSize = elemsPerBlock * sizeof(*d_keys);
numBlocks = arrayLength/ elemsPerBlock;
numThreads = N_THREADS;
IBR_2_BSKernel<OpTp><<<numBlocks, numThreads, sharedMemSize>>>(d_keys, d_keysBuffer, d_intervals, stage);
//=========================================================================================
//=========================================================================================
//=========================================================================================
// Exchanges keys
typename OpTp::ElTp *tempTable = d_keys;
d_keys = d_keysBuffer;
d_keysBuffer = tempTable;
}
}
template<class T>
void randomInts(T* data, int size) {
T maxVal = smaxof(T);
T multiplier = maxVal/RAND_MAX;
for (int i = 0; i < size; ++i)
{
data[i] = (rand() - (T)RAND_MAX/2) * multiplier;
}
}
template<class T>
void randomFloats(T* data, int size) {
for (int i = 0; i < size; ++i)
{
data[i] = (T)(rand() - (T)RAND_MAX/2) / (T)RAND_MAX;
}
}
int timeval_subtract(struct timeval *result, struct timeval *t2, struct timeval *t1)
{
unsigned int resolution=1000000;
long int diff = (t2->tv_usec + resolution * t2->tv_sec) - (t1->tv_usec + resolution * t1->tv_sec);
result->tv_sec = diff / resolution;
result->tv_usec = diff % resolution;
return (diff<0);
}
int main() {
srand(2006);
// test
for(int j=10; j<=20; j++)
{
int n_el = pow((double)2, (double)j);
unsigned long int elapsed;
struct timeval t_start, t_end, t_diff;
int size_keys = n_el;
int mem_size_keys = size_keys * sizeof(Single<data_t>::ElTp);
Single<data_t>::ElTp* h_keys = (Single<data_t>::ElTp*) malloc(mem_size_keys);
//randomFloats<float>(h_keys, size_keys);
// creating a FILE variable
FILE *fptr;
fptr = fopen(DATA_PATH, "r");
for (int i=0; i< n_el; i++)
{
fscanf(fptr, "%lf", &h_keys[i]);
};
fclose(fptr);
/*
printf("Unsorted keys:\n");
for(int i = 0; i<size_keys; i++ ){
printf("%lf, ", h_keys[i]);
}
printf("\n");
*/
Single<data_t>::ElTp* d_keys;
cudaMalloc((void**) &d_keys, mem_size_keys);
cudaMemcpy(d_keys, h_keys, mem_size_keys, cudaMemcpyHostToDevice);
int stagesAll = log2((double)size_keys);
int stagesBitonicMerge = log2((double)2 * N_THREADS);
int intervalsLen = 1 << (stagesAll - stagesBitonicMerge);
// Allocates buffer for keys
Single<data_t>::ElTp* d_keysBuffer;
cudaMalloc((void **)&d_keysBuffer, size_keys * sizeof(*d_keysBuffer));
// Memory needed for storing intervals
interval_t* d_intervals;
interval_t* d_intervalsBuffer;
cudaMalloc((void **)&d_intervals, intervalsLen * sizeof(*d_intervals));
cudaMalloc((void **)&d_intervalsBuffer, intervalsLen * sizeof(*d_intervalsBuffer));
gettimeofday(&t_start, NULL);
for(int i=0; i<GPU_RUNS; i++){
IBR_binotic_sort<Single<data_t> >(d_keys, d_keysBuffer, d_intervals, d_intervalsBuffer, size_keys);
}
cudaDeviceSynchronize();
gettimeofday(&t_end, NULL);
timeval_subtract(&t_diff, &t_end, &t_start);
elapsed = (t_diff.tv_sec*1e6+t_diff.tv_usec) / GPU_RUNS;
cudaMemcpy(h_keys, d_keys, mem_size_keys, cudaMemcpyDeviceToHost);
printf("Bitonic sort on %d elements (type double) runs in: %lu microsecs\n", size_keys, elapsed);
/*
printf("Sorted keys:\n");
for(int i = 0; i<size_keys; i++ ){
printf("%lf, ", h_keys[i]);
}
printf("\n");
*/
for(int i = 0; i<size_keys-1; i++) {
if(h_keys[i] > h_keys[i+1]) {
printf("INVALID!\n");
break;
//return 1;
}
}
printf("VALID!\n");
//return 0;
free(h_keys);
cudaFree(d_keys);
cudaFree(d_keysBuffer);
cudaFree(d_intervals);
cudaFree(d_intervalsBuffer);
}
}