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main.cu
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main.cu
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#include <cuda.h>
#include <stdio.h>
#include <xmalloc.cuh>
#include <sys/time.h>
#include <stdint.h>
#include <getopt.h>
#include <errno.h>
#include <util.h>
#define DEBUG 0
//////////////////////////////
#define INITRANDMULT 0x015A4E35
#define INITRANDINCREMENT 997
#define RANDMULT 214013
#define RANDINCREMENT 2531011
#define TESTRAND 100
#define MAXBLOCKSIZE 512
#define EDGEBATCHSIZE 134217728
#define ACTIONBATCHSIZE 16777216
// Errors
//////////////////////////////
typedef enum {
NO_ERROR,
DELETIONS_OVERRAN_INSERTIONS
} graphError_t;
const char * graphErrorString[] = {
"NO ERROR",
"DELETIONS OVERRAN INSERTIONS - RARE RANDOM ERROR, RUN IT AGAIN."
};
// Device Function Prototypes
//////////////////////////////
__device__ uint32_t cudaRand(uint32_t * randVal);
__global__ void cudaRMATEdges(uint32_t * randVals, uint32_t SCALE, uint32_t edgesPerThread, uint32_t numthreads,
float pA, float pB, float pC, float pD, uint32_t * edgeArray);
__global__ void cudaGenerateActions(uint32_t * randVals, uint32_t edges, uint32_t actions, uint32_t numthreads,
float pDelete, uint32_t * edgeArray, uint32_t * generatedEdges, int32_t * actionsEdgeArray, graphError_t * error);
#if(DEBUG)
__global__ void cudaDebugRand(uint32_t * randOut, uint32_t * randVals);
__global__ void cudaDebugEdgeList(uint32_t vertices, uint32_t * edgeList, uint32_t size);
#endif
// Host Functions Prototypes
/////////////////////////////
__host__ void hostParseArgs(int argc, char** argv);
__host__ void hostInitCudaRand();
__host__ void hostRMATandFileIO();
__host__ int hostCompareEdges(const void * a, const void * b);
__host__ void hostFreeCudaRand();
#if (DEBUG)
__host__ void hostDebugTestRand();
#endif
// Global Device Variables
/////////////////////////////
uint32_t * d_uip_randvals;
uint32_t * d_uip_edgelist;
uint32_t * h_uip_edgelist;
int32_t * d_ip_actionslist;
int32_t * h_ip_actionslist;
void * d_vp_cudastinger;
void * d_vp_cudavertices;
graphError_t * d_gep_error;
// Global Host Variables
////////////////////////////
uint32_t h_ui_scale = 14;
uint32_t h_ui_edgefactor = 16;
uint32_t h_ui_actions = 512 * 512 * 10;
uint32_t h_ui_threads = 512;
uint32_t h_ui_blocks = 512;
uint32_t h_ui_vertices = 4096;
uint32_t h_ui_edges = 32768;
const char * h_s_infile = NULL;
const char * h_s_outfile = NULL;
const char * h_s_dimacsoutfile = NULL;
const char * h_s_stinger_outfile = NULL;
const char * h_s_stinger_actionsfile = NULL;
int h_i_streaming = 0;
// Host Functions
/////////////////////////////
__host__ int main(int argc, char** argv) {
printf("CUDA CP2 Implementation\n");
hostParseArgs(argc, argv);
d_gep_error = (graphError_t *)cudaXmalloc(sizeof(graphError_t));
graphError_t hosterror = NO_ERROR;
cudaMemcpy(d_gep_error, &hosterror, sizeof(graphError_t), cudaMemcpyHostToDevice);
if(h_ui_threads % 8 != 0 || h_ui_blocks % 8 != 0) {
fprintf(stderr, "ERROR: Blocks and Threads must be multiples of 8\n");
exit(-1);
}
tic_reset();
hostInitCudaRand();
#if(DEBUG)
hostDebugTestRand();
#endif
hostRMATandFileIO();
cudaMemcpy(&hosterror, d_gep_error, sizeof(graphError_t), cudaMemcpyDeviceToHost);
hostFreeCudaRand();
cudaFree(d_gep_error);
cudaThreadSynchronize();
printf("\nfree() %f", tic_sincelast());
printf("\nTotalTime %f\n", tic_total());
if(cudaPeekAtLastError() != cudaSuccess)
printf("**********************************"
"\nCUDA ERROR OCCURED :\n\t%s\nRESULTS MAY NOT BE VALID\n"
"**********************************\n", cudaGetErrorString(cudaGetLastError()));
else if(hosterror != NO_ERROR)
printf("************************"
"\nGRAPH ERROR OCCURED:"
"\n%d - %s"
"\n************************\n", hosterror, graphErrorString[hosterror]);
else
printf("NO ERRORS\n");
return 0;
}
__host__ void hostParseArgs(int argc, char** argv) {
static struct option long_options[] = {
{"scale", required_argument, 0, 's'},
{"edgefactor", required_argument, 0, 'e'},
{"actions", required_argument, 0, 'a'},
{"help", no_argument, 0, 'h'},
{"blocks", required_argument, 0, 'b'},
{"threads", required_argument, 0, 't'},
{"outfile", required_argument, 0, 'o'},
{"dimacsoutfile", required_argument, 0, 'd'},
{"STINGERoutputfile", required_argument, 0, 'S'},
{"STINGERactionsfile", required_argument, 0, 'A'},
{"CUDADevice", required_argument, 0, 'c'},
{0, 0, 0, 0}
};
int32_t intout;
while(1) {
int option_index = 0;
int c = getopt_long(argc, argv, "s:e:a:h?b:t:o:d:S:A:c:", long_options, &option_index);
extern char * optarg;
extern int optind, opterr, optopt;
if(-1 == c)
break;
switch(c) {
default:
printf("Unrecognized option: %c\n\n", c);
case '?':
case 'h':
printf("\nUsage"
"\n====="
"\n\t-s --scale=SCALE"
"\n\t-e --edgefact=EDGEFACT"
"\n\t-a --actions=NUMBEROFACTIONS"
"\n\t-o --outfile=OUTPUTEDGELISTFILE"
"\n\t-d --dimacsoutfile=DIMACSFORMATOUTPUTFILE"
"\n\t-S --STINGERoutputfile=STINGEROUTPUTFILE"
"\n\t-A --STINGERactionsfile=STINGERACTIONSFILE"
"\n\n\tTUNING"
"\n\t-b --blocks=BLOCKS"
"\n\t-t --threads=THREADS"
"\n\t-d --CUDADevice=DEVICENUMBER - if not specified, default is used"
"\n\nEdge list files are binary files containing uint32 scale, edgefactor, and"
" edges as ordered pairs of uint32\n");
exit(0);
break;
case 's':
errno = 0;
intout = strtol(optarg, NULL, 10);
if(errno || intout < 0) {
printf("Error - Scale = %s\n", optarg);
exit(-1);
}
h_ui_scale = intout;
break;
case 'e':
errno = 0;
intout = strtol(optarg, NULL, 10);
if(errno || intout < 0) {
printf("Error - Edgefactor = %s\n", optarg);
exit(-1);
}
h_ui_edgefactor = intout;
break;
case 'a':
errno = 0;
intout = strtol(optarg, NULL, 10);
if(errno || intout < 0) {
printf("Error - Actions = %s\n", optarg);
exit(-1);
}
h_ui_actions = intout;
break;
case 'b':
errno = 0;
intout = strtol(optarg, NULL, 10);
if(errno || intout < 0) {
printf("Error - BLOCKS = %s\n", optarg);
exit(-1);
}
h_ui_blocks = intout;
break;
case 't':
errno = 0;
intout = strtol(optarg, NULL, 10);
if(errno || intout < 0) {
printf("Error - THREADS = %s\n", optarg);
exit(-1);
}
h_ui_threads = intout;
break;
case 'c':
errno =0;
intout = strtol(optarg, NULL, 10);
if(errno || intout < 0) {
printf("Error - CUDA Device = %s\n", optarg);
exit(-1);
}
cudaSetDevice(intout);
break;
case 'i':
if(optarg != NULL)
h_s_infile = optarg;
break;
case 'o':
if(optarg != NULL)
h_s_outfile = optarg;
break;
case 'd':
if(optarg != NULL)
h_s_dimacsoutfile = optarg;
break;
case 'S':
if(optarg != NULL)
h_s_stinger_outfile = optarg;
break;
case 'A':
if(optarg != NULL)
h_s_stinger_actionsfile = optarg;
break;
case 'p':
h_i_streaming = 1;
break;
}
}
h_ui_vertices = (1L << h_ui_scale);
h_ui_edges = h_ui_vertices * h_ui_edgefactor;
if(h_s_infile == NULL) {
printf("<BLOCKS, THREADS> <%u, %u>\n", h_ui_blocks, h_ui_threads);
printf("\n\tScale %d\n\tEdgefactor %d\n\tActions %d\n\t<V,E> <%d,%d>\n",
h_ui_scale, h_ui_edgefactor, h_ui_actions, h_ui_vertices, h_ui_edges);
}
}
__host__ void hostInitCudaRand() {
uint32_t totalThreads = h_ui_blocks * h_ui_threads;
uint32_t * hostRandVals = (uint32_t *)xmalloc(totalThreads * sizeof(uint32_t));
d_uip_randvals = (uint32_t *)cudaXmalloc(totalThreads * sizeof(uint32_t));
struct timeval tv;
gettimeofday(&tv, NULL);
hostRandVals[0] = tv.tv_sec * INITRANDMULT + INITRANDINCREMENT;
uint32_t i;
for(i = 1; i < totalThreads; ++i) {
hostRandVals[i] = hostRandVals[i-1] * INITRANDMULT + INITRANDINCREMENT;
}
cudaMemcpy(d_uip_randvals, hostRandVals, totalThreads * sizeof(uint32_t), cudaMemcpyHostToDevice);
free(hostRandVals);
cudaThreadSynchronize();
printf("\nhostInitCudaRand() %f", tic_sincelast());
}
__host__ void hostRMATandFileIO() {
if(h_ui_edges % (h_ui_blocks * h_ui_threads) != 0) {
printf("ERROR: Edges must divide evenly by blocks * threads.\n");
exit(-1);
};
d_uip_edgelist = (uint32_t *)cudaXmalloc(EDGEBATCHSIZE * 4 * sizeof(uint32_t));
h_uip_edgelist = (uint32_t *)xmalloc(h_ui_edges * 4 * sizeof(uint32_t));
d_ip_actionslist = (int32_t *)cudaXmalloc(ACTIONBATCHSIZE * 4 * sizeof(int32_t));
uint32_t * tempactions = (uint32_t *)cudaXmalloc(ACTIONBATCHSIZE * 4 * sizeof(uint32_t));
h_ip_actionslist = (int32_t *)xmalloc(h_ui_actions * 4 * sizeof(int32_t));
cudaThreadSynchronize();
printf("\nedgeListMalloc %f", tic_sincelast());
if(h_ui_actions % (h_ui_blocks * h_ui_threads) != 0) {
printf("ERROR: Actions must divide evenly by blocks * threads.\n");
exit(-1);
}
uint32_t * edgedest = h_uip_edgelist;
int32_t * actiondest = h_ip_actionslist;
for(uint64_t j = 0, k = 0; j < h_ui_edges || k < h_ui_actions; j += EDGEBATCHSIZE, k += ACTIONBATCHSIZE) {
if(j < h_ui_edges) {
uint32_t generate = (h_ui_edges - j > EDGEBATCHSIZE ? EDGEBATCHSIZE : h_ui_edges - j);
cudaRMATEdges<<<h_ui_blocks, h_ui_threads>>>(d_uip_randvals, h_ui_scale, generate / (h_ui_blocks * h_ui_threads), h_ui_blocks * h_ui_threads, 0.55, 0.1, 0.1, 0.25, d_uip_edgelist);
cudaMemcpy(edgedest, d_uip_edgelist, generate * 4 * sizeof(uint32_t), cudaMemcpyDeviceToHost);
edgedest += EDGEBATCHSIZE;
}
if(k < h_ui_actions) {
uint32_t generate = (h_ui_actions - k > ACTIONBATCHSIZE ? ACTIONBATCHSIZE : h_ui_actions - k);
cudaRMATEdges<<<h_ui_blocks, h_ui_threads>>>(d_uip_randvals, h_ui_scale, generate / (h_ui_blocks * h_ui_threads), h_ui_blocks * h_ui_threads, 0.55, 0.1, 0.1, 0.25, tempactions);
cudaGenerateActions<<<h_ui_blocks / 8, h_ui_threads>>>(d_uip_randvals, h_ui_edges, generate, h_ui_blocks * h_ui_threads / 8, 0.0625, d_uip_edgelist, tempactions, d_ip_actionslist, d_gep_error);
cudaMemcpy(actiondest, d_ip_actionslist, generate * 4 * sizeof(uint32_t), cudaMemcpyDeviceToHost);
actiondest += ACTIONBATCHSIZE;
}
}
cudaFree(d_uip_edgelist);
cudaFree(d_ip_actionslist);
cudaFree(tempactions);
cudaThreadSynchronize();
printf("\ncudaRMATEdges() %f", tic_sincelast());
if(h_s_outfile != NULL) {
FILE * fp;
fp = fopen(h_s_outfile, "w+");
if(fp == NULL) {
fprintf(stderr, "\nERROR: Could not open output file.\n");
exit(-1);
}
uint32_t written = 0;
written += fwrite(&h_ui_scale, sizeof(uint32_t), 1, fp);
written += fwrite(&h_ui_edgefactor, sizeof(uint32_t), 1, fp);
if(written != 2) {
fprintf(stderr, "\nERROR: Opened output file, but could not write to it.\n");
exit(-1);
}
written = fwrite(h_uip_edgelist, sizeof(uint32_t), 4 * h_ui_edges, fp);
if(written != 4 * h_ui_edges) {
fprintf(stderr, "\nERROR: Opened output file, but could not write to it.\n");
exit(-1);
}
fclose(fp);
cudaThreadSynchronize();
printf("\nWriteOutputFile() %f", tic_sincelast());
}
if(h_s_dimacsoutfile != NULL) {
FILE * fp;
fp = fopen(h_s_dimacsoutfile, "w+");
if(fp == NULL) {
fprintf(stderr, "\nERROR: Could not open output file.\n");
exit(-1);
}
fprintf(fp, "c graph generated by CUDARMAT\n");
fprintf(fp, "p sp %d %d\n", h_ui_vertices, 2 * h_ui_edges);
uint32_t j;
for(j = 0; j < h_ui_edges * 4; j += 2)
fprintf(fp, "a %d %d 1", h_uip_edgelist[j], h_uip_edgelist[j+1]);
fclose(fp);
cudaThreadSynchronize();
printf("\nWriteDimacsOutputFile() %f", tic_sincelast());
}
if(h_s_stinger_outfile != NULL) {
FILE * fp;
fp = fopen(h_s_stinger_outfile, "w+");
if(fp == NULL) {
fprintf(stderr, "\nERROR: Could not open output file.\n");
exit(-1);
}
uint32_t written = 0;
int64_t v64 = h_ui_vertices;
int64_t e64 = h_ui_edges * 2;
int64_t ec = 0x1234ABCD;
written += fwrite(&ec, sizeof(int64_t), 1, fp);
written += fwrite(&v64, sizeof(int64_t), 1, fp);
written += fwrite(&e64, sizeof(int64_t), 1, fp);
if(written != 3) {
fprintf(stderr, "\nERROR: Opened output file, but could not write to it.\n");
exit(-1);
}
qsort(h_uip_edgelist, 2 * h_ui_edges, 2 * sizeof(uint32_t), hostCompareEdges);
int64_t * off = (int64_t *)xcalloc((h_ui_vertices + 1), sizeof(int64_t));
int64_t * ind = (int64_t *)xmalloc(h_ui_edges * 2 * sizeof(int64_t));
int64_t * weight = (int64_t *)xmalloc(h_ui_edges * 2 * sizeof(int64_t));
off += 1;
uint32_t j, k = 0;
for(j = 0; j < h_ui_edges * 4; j += 2) {
off[h_uip_edgelist[j]]++;
ind[k] = h_uip_edgelist[j+1];
weight[k] = 1;
k++;
}
for(j = 1; j < h_ui_vertices; ++j)
off[j] += off[j - 1];
off -= 1;
written = fwrite(off, sizeof(int64_t), h_ui_vertices + 1, fp);
written += fwrite(ind, sizeof(int64_t), h_ui_edges * 2, fp);
written += fwrite(weight, sizeof(int64_t), h_ui_edges * 2, fp);
if(written != 4 * h_ui_edges + h_ui_vertices + 1) {
fprintf(stderr, "\nERROR: Opened output file, but could not write to it.\n");
exit(-1);
}
free(off);
free(ind);
free(weight);
fclose(fp);
cudaThreadSynchronize();
printf("\nWriteSTINGEROutputFile() %f", tic_sincelast());
}
if(h_s_stinger_actionsfile != NULL) {
FILE * fp;
fp = fopen(h_s_stinger_actionsfile, "w+");
if(fp == NULL) {
fprintf(stderr, "\nERROR: Could not open output file.\n");
exit(-1);
}
uint32_t written = 0;
int64_t actions = h_ui_actions * 2;
uint64_t ec = 0x1234ABCD;
written += fwrite(&ec, sizeof(int64_t), 1, fp);
written += fwrite(&actions, sizeof(int64_t), 1, fp);
if(written != 2) {
fprintf(stderr, "\nERROR: Opened output file, but could not write to it.\n");
exit(-1);
}
int64_t * act = (int64_t *)xmalloc(sizeof(int64_t) * h_ui_actions * 4);
for(uint64_t j = 0; j < h_ui_actions * 4; j++) {
act[j] = h_ip_actionslist[j];
}
written = fwrite(act, sizeof(int64_t), h_ui_actions * 4, fp);
if(written != 4 * h_ui_actions) {
fprintf(stderr, "\nERROR: Opened output file, but could not write to it.\n");
exit(-1);
}
free(act);
fclose(fp);
cudaThreadSynchronize();
printf("\nWriteSTINGEROutputFile() %f", tic_sincelast());
}
free(h_uip_edgelist);
free(h_ip_actionslist);
}
__host__ int hostCompareEdges(const void * a, const void * b) {
uint32_t * e1 = (uint32_t *)a;
uint32_t * e2 = (uint32_t *)b;
if(e1[0] == e2[0])
return e1[1] - e2[1];
else
return e1[0] - e2[0];
}
__host__ void hostFreeCudaRand() {
cudaFree(d_uip_randvals);
}
// HOST DEBUGGING FUNCTIONS
/////////////////////////////
#if(DEBUG)
__host__ void hostDebugTestRand() {
uint32_t * randvalstest;
uint32_t bins[32] = {0};
uint32_t boundaries [] = { 134217728U, 268435456U, 402653184U, 536870912U, 671088640U, 805306368U, 939524096U, 1073741824U,
1207959552U, 1342177280U, 1476395008U, 1610612736U, 1744830464U, 1879048192U, 2013265920U, 2147483648U, 2281701376U,
2415919104U, 2550136832U, 2684354560U, 2818572288U, 2952790016U, 3087007744U, 3221225472U, 3355443200U, 3489660928U,
(uint32_t)3623878656U, (uint32_t)3758096384U, (uint32_t)3892314112U, (uint32_t)4026531840U, (uint32_t)4160749568U, (uint32_t)4294967295U };
uint32_t numrands = h_ui_blocks * h_ui_threads * TESTRAND;
randvalstest = (uint32_t *)cudaXmalloc(numrands * sizeof(uint32_t));
cudaDebugRand <<<h_ui_blocks, h_ui_threads>>>(randvalstest, d_uip_randvals);
uint32_t * results = (uint32_t *) xmalloc(numrands * sizeof(uint32_t));
cudaMemcpy(results, randvalstest, numrands * sizeof(uint32_t), cudaMemcpyDeviceToHost);
int i,j;
//int duplicates = 0;
for(i = 0; i < numrands; ++i) {
//printf("%u\n", results[i]);
for(j = 0; j < 32; ++j) {
if(results[i] < boundaries[j]) {
bins[j]++;
break;
}
}
//for(j = i+1; j < numrands; ++j) {
// if(results[i] == results[j])
// duplicates++;
//}
}
free(results);
printf("\n\n***BEGIN BINS***\n\n");
for(i = 0; i < 32; ++i) {
printf("%u\n", bins[i]);
}
//printf("\n***DUPLICATES %d***\n", duplicates);
cudaFree(randvalstest);
}
#endif
// Device Functions
//////////////////////////////
__device__ uint32_t cudaRand(uint32_t * randVal) {
(*randVal) = ((*randVal) * RANDMULT + RANDINCREMENT);
return *randVal;
}
__global__ void cudaRMATEdges(uint32_t * randVals, uint32_t SCALE, uint32_t edgesPerThread, uint32_t numthreads,
float pA, float pB, float pC, float pD, uint32_t * edgeArray) {
__shared__ uint32_t aboutToWrite[MAXBLOCKSIZE];
uint32_t thread_id = (blockIdx.x * blockDim.x + threadIdx.x);
int swap = thread_id % 2 == 0 ? 1 : -1;
uint32_t myRand = randVals[thread_id];
float A, B, C, D;
uint32_t iteration;
uint32_t step = numthreads * 4;
uint32_t stop = numthreads * 4 * edgesPerThread;
for(iteration = 0; iteration < stop; iteration += step) {
A = pA;
B = pB;
C = pC;
D = pD;
uint32_t i = 0;
uint32_t j = 0;
uint32_t curBit = ((uint32_t) 1) << (SCALE - 1);
while(1) {
const float rand = ((float)cudaRand(&myRand)) / (4294967295.0f);
if(rand > A) {
if(rand <= A + B)
j |= curBit;
else if (rand <= A + B + C)
i |= curBit;
else {
j |= curBit;
i |= curBit;
}
}
if(1 == curBit)
break;
A *= (0.95 + (((float)cudaRand(&myRand)) / (42949672950.0f)));
B *= (0.95 + (((float)cudaRand(&myRand)) / (42949672950.0f)));
C *= (0.95 + (((float)cudaRand(&myRand)) / (42949672950.0f)));
D *= (0.95 + (((float)cudaRand(&myRand)) / (42949672950.0f)));
const float norm = 1.0 / (A + B + C + D);
A *= norm;
B *= norm;
C *= norm;
D = 1.0 - (A + B + C);
curBit >>= 1;
}
if(swap == 1) {
aboutToWrite[threadIdx.x] = i;
} else {
aboutToWrite[threadIdx.x] = j;
}
if(swap == 1) {
if(aboutToWrite[threadIdx.x + swap] == j) {
j ^= 1;
}
} else {
if(aboutToWrite[threadIdx.x + swap] == i) {
i ^= 1;
}
}
__syncthreads();
uint32_t index = thread_id + iteration;
edgeArray[index] = i;
index += numthreads;
edgeArray[index] = j;
index += numthreads;
edgeArray[index + swap] = j;
index += numthreads;
edgeArray[index + swap] = i;
}
}
__global__ void cudaGenerateActions(uint32_t * randVals, uint32_t edges, uint32_t actions, uint32_t numthreads,
float pDelete, uint32_t * edgeArray, uint32_t * generatedEdges, int32_t * actionsEdgeArray, graphError_t * error) {
uint32_t thread_id = (blockIdx.x * blockDim.x + threadIdx.x);
uint32_t threadIdx4 = threadIdx.x * 4;
__shared__ int32_t sharedActions[2048];
uint32_t myRand = randVals[thread_id];
uint32_t original_del = thread_id * 2;
uint32_t new_del = original_del;
uint32_t new_ins = original_del;
uint32_t stop = 4 * actions;
uint32_t step = 4 * numthreads;
uint32_t index = thread_id;
for(; index < stop; index += step) {
const float rand = ((float)cudaRand(&myRand)) / (4294967295.0f);
if(rand >= pDelete) {
sharedActions[threadIdx4] = generatedEdges[new_ins];
sharedActions[threadIdx4 +1] = generatedEdges[new_ins+1];
new_ins += step;
} else {
if(original_del < edges * 4) {
sharedActions[threadIdx4] = -edgeArray[original_del];
sharedActions[threadIdx4 +1] = -edgeArray[original_del+1];
original_del += step;
} else if(new_del < new_ins) {
sharedActions[threadIdx4] = -generatedEdges[new_del];
sharedActions[threadIdx4 +1] = -generatedEdges[new_del+1];
new_del += step;
} else {
// Deletes caught up to insertions
// if you are near a window, check for flying pigs
*error = DELETIONS_OVERRAN_INSERTIONS;
}
}
//reverse edges
sharedActions[threadIdx4 + 2] = sharedActions[threadIdx4 + 1];
sharedActions[threadIdx4 + 3] = sharedActions[threadIdx4];
__syncthreads();
actionsEdgeArray[index] = sharedActions[threadIdx.x];
actionsEdgeArray[index + blockDim.x] = sharedActions[threadIdx.x + blockDim.x];
actionsEdgeArray[index + blockDim.x * 2] = sharedActions[threadIdx.x + blockDim.x * 2];
actionsEdgeArray[index + blockDim.x * 3] = sharedActions[threadIdx.x + blockDim.x * 3];
}
}
// DEVICE DEBUGGING FUNCTIONS
//////////////////////////////
__global__ void cudaDebugRand(uint32_t * randOut, uint32_t * randVals) {
int i;
int thread_id = (blockIdx.x * blockDim.x + threadIdx.x);
int thread_offset = thread_id * TESTRAND;
for(i = 0; i < TESTRAND; ++i) {
randOut[i + thread_offset] = cudaRand(randVals + thread_id);
}
}
__global__ void cudaDebugEdgeList(uint32_t vertices, uint32_t * edgeList, uint32_t size) {
uint32_t i = 0;
for(i = 0; i < size; ++i) {
if(edgeList[i] > vertices)
edgeList[i] = 0xFFFFFFFF - i;
}
}