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Commit 1c9c8042 authored by Ogier Maitre's avatar Ogier Maitre
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drone version for TGP_regression

parent 9189089b
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Showing with 2630 additions and 255 deletions
EaseaLex.l 100755 → 100644
View file @ 1c9c8042
......@@ -26,7 +26,7 @@ Centre de Math
bool genomeSizeValidity=false;
int lineCounter = 0;
// local functions
// local functions
char* selectorDetermination(int nMINIMISE, char* sSELECTOR){
char selectorName[50];
......@@ -75,7 +75,7 @@ Centre de Math
%start COPY_EO_INITIALISER
%start COPY COPY_INITIALISER COPY_CROSSOVER COPY_MUTATOR COPY_EVALUATOR COPY_FINALIZATION_FUNCTION
%start COPY_DISPLAY COPY_USER_FUNCTION COPY_USER_GENERATION PARAMETERS_ANALYSIS GET_PARAMETERS
%start COPY_USER_FUNCTIONS COPY_GENERATION_FUNCTION_BEFORE_REPLACEMENT GET_METHODS COPY_MAKEFILE_OPTION COPY_BOUND_CHECKING_FUNCTION COPY_BEG_GENERATION_FUNCTION COPY_END_GENERATION_FUNCTION
%start COPY_USER_FUNCTIONS COPY_GENERATION_FUNCTION_BEFORE_REPLACEMENT GET_METHODS COPY_MAKEFILE_OPTION COPY_BOUND_CHECKING_FUNCTION COPY_BEG_GENERATION_FUNCTION COPY_END_GENERATION_FUNCTION COPY_INSTEAD_EVAL
// lexical analyser name and class definition
%name CEASEALexer {
......@@ -187,6 +187,15 @@ exponent ([Ee][+-]?[0-9]+)
}
<TEMPLATE_ANALYSIS>"\\INSTEAD_EVAL_FUNCTION" {
//DEBUG_PRT_PRT("insert beg");
yyreset();
yyin = fpGenomeFile;
if (bVERBOSE) printf ("Evaluation population in a single function!!.\n");
BEGIN COPY_INSTEAD_EVAL;
}
<TEMPLATE_ANALYSIS>"\\INSERT_END_GENERATION_FUNCTION" {
//DEBUG_PRT_PRT("insert end");
if (bVERBOSE) printf ("Inserting at the end of each generation function.\n");
......@@ -497,7 +506,7 @@ exponent ([Ee][+-]?[0-9]+)
if (bVERBOSE) printf ("Inserting user functions.\n");
yyreset();
yyin = fpGenomeFile;
lineCounter=1; // switch to .ez file and analyser
lineCounter=2; // switch to .ez file and analyser
BEGIN COPY_USER_FUNCTIONS;
}
<TEMPLATE_ANALYSIS>"\\INSERT_EO_INITIALISER" {
......@@ -531,11 +540,13 @@ exponent ([Ee][+-]?[0-9]+)
<TEMPLATE_ANALYSIS>"\\INSERT_MUTATOR" {
yyreset();
yyin = fpGenomeFile; // switch to .ez file and analyser
lineCounter=1;
BEGIN COPY_MUTATOR;
}
<TEMPLATE_ANALYSIS>"\\INSERT_EVALUATOR" {
yyreset();
yyin = fpGenomeFile; // switch to .ez file and analyser
lineCounter=1;
BEGIN COPY_EVALUATOR;
}
......@@ -543,6 +554,7 @@ exponent ([Ee][+-]?[0-9]+)
yyreset();
yyin = fpGenomeFile; // switch to .ez file and analyser
bWithinCUDA_Evaluator = 1;
lineCounter=1;
BEGIN COPY_EVALUATOR;
}
......@@ -721,10 +733,7 @@ if(OPERATING_SYSTEM=WINDOWS)
if( TARGET==CUDA )
strcat(sFileName,"Individual.cu");
else if( TARGET==STD )
if( TARGET_FLAVOR==CUDA_FLAVOR_GP)
strcat(sFileName,"Individual.cu");
else
strcat(sFileName,"Individual.cpp");
strcat(sFileName,"Individual.cpp");
fpOutputFile=fopen(sFileName,"w");
if (bVERBOSE) printf("Creating %s...\n",sFileName);
}
......@@ -963,6 +972,29 @@ if(OPERATING_SYSTEM=WINDOWS)
}
}
<COPY_INSTEAD_EVAL>"\\Instead"[ \t\n]+"evaluation"[ \t\n]+"function:" {
//DEBUG_PRT_PRT("at each beg");
if( (TARGET==CUDA || TARGET==STD)){
fprintf (fpOutputFile,"{\n");
bFunction=1;
BEGIN COPY_USER_GENERATION;
}
}
<COPY_INSTEAD_EVAL>.|\n {}
<COPY_INSTEAD_EVAL><<EOF>> {
bBeginGenerationFunction=0; // No Generation function was found in the .ez file
if (bVERBOSE) printf("*** No Instead evaluation step function was found. ***\n");
fprintf(fpOutputFile,"\n// No Instead evaluation step function.\n");
rewind(fpGenomeFile);
yyin = fpTemplateFile;
BEGIN TEMPLATE_ANALYSIS;
bNotFinishedYet=1;
}
<COPY_BEG_GENERATION_FUNCTION><<EOF>> {
bBeginGenerationFunction=0; // No Generation function was found in the .ez file
if (bVERBOSE) printf("*** No beginning generation function was found. ***\n");
......@@ -1304,16 +1336,23 @@ if(OPERATING_SYSTEM=WINDOWS)
<COPY_CROSSOVER>\n {lineCounter++;}
<COPY_MUTATOR>"\\GenomeClass::mutator"[ \t\n]*":" {
bWithinMutator=1;
if( bLINE_NUM_EZ_FILE )
fprintf(fpOutputFile,"#line %d \"%s.ez\"\n",lineCounter, sRAW_PROJECT_NAME);
BEGIN COPY_USER_FUNCTION;
return USER_MUTATOR;
}
<COPY_MUTATOR>.|\n {}
<COPY_MUTATOR>. {}
<COPY_MUTATOR>\n {lineCounter++;}
<COPY_EVALUATOR>"\\GenomeClass::evaluator"[ \t\n]*":" {
BEGIN COPY_USER_FUNCTION;
bWithinEvaluator=1;
if( bLINE_NUM_EZ_FILE )
fprintf(fpOutputFile,"#line %d \"%s.ez\"\n",lineCounter, sRAW_PROJECT_NAME);
return USER_EVALUATOR;
}
<COPY_EVALUATOR>.|\n {}
<COPY_EVALUATOR>. {}
<COPY_EVALUATOR>\n {lineCounter++;}
//****************************************
// Basic copy to .cpp file with major changes
......@@ -1568,11 +1607,9 @@ if(OPERATING_SYSTEM=WINDOWS)
fprintf(fpOutputFile,"globalRandomGenerator->tossCoin");}
<COPY_USER_FUNCTION>"random" {
fprintf(fpOutputFile,"globalRandomGenerator->random");}
<COPY_USER_FUNCTION>"child1" {fprintf(fpOutputFile,"child");
<COPY_USER_FUNCTION>"child1" {fprintf(fpOutputFile,"child1");
}
<COPY_USER_FUNCTION>"child2" {fprintf(fpOutputFile,"child");
}
<COPY_USER_FUNCTION>"child" {fprintf(fpOutputFile,"child");
<COPY_USER_FUNCTION>"child2" {fprintf(fpOutputFile,"child2");
}
<COPY_USER_FUNCTION>"parent1" {fprintf(fpOutputFile,"parent1");
}
......@@ -1643,7 +1680,7 @@ if(OPERATING_SYSTEM=WINDOWS)
<GET_PARAMETERS>"Print"[ \t\n]+"stats"[ \t\n]*":"[\t\n]* {if (bVERBOSE) printf("\tPrint Stats...\n");return PRINT_STATS;}
<GET_PARAMETERS>"Plot"[ \t\n]+"stats"[ \t\n]*":"[\t\n]* {if (bVERBOSE) printf("\tPlot Stats with gnuplot...\n");return PLOT_STATS;}
<GET_PARAMETERS>"Generate"[ \t\n]+"csv"[ \t\n]+"stats"[ \t\n]+"file"[ \t\n]*":"[ \t\n]* {if (bVERBOSE) printf("\tPrint Stats to cvs File...\n");return GENERATE_CVS_FILE;}
<GET_PARAMETERS>"Generate"[ \t\n]+"cvs"[ \t\n]+"stats"[ \t\n]+"file"[ \t\n]*":"[ \t\n]* {if (bVERBOSE) printf("\tPrint Stats to cvs File...\n");return GENERATE_CVS_FILE;}
<GET_PARAMETERS>"Generate"[ \t\n]+"gnuplot"[ \t\n]+"script"[ \t\n]*":"[ \t\n]* {if (bVERBOSE) printf("\tGenerate Gnuplot Script...\n");return GENERATE_GNUPLOT_SCRIPT;}
<GET_PARAMETERS>"Generate"[ \t\n]+"R"[ \t\n]+"script"[ \t\n]*":"[ \t\n]* {if (bVERBOSE) printf("\tGenerate R Script...\n");return GENERATE_R_SCRIPT;}
......@@ -1789,7 +1826,7 @@ int CEASEALexer::create(CEASEAParser* pParser, CSymbolTable* pSymTable)
strcat(sTemp,"CUDA.tpl");
else if(TARGET_FLAVOR == CUDA_FLAVOR_CMAES )
strcat(sTemp,"CMAES_CUDA.tpl");
else
else
strcat(sTemp,"CUDA_MO.tpl");
if (!(yyin = fpTemplateFile = fopen(sTemp, "r"))){
......@@ -1803,8 +1840,6 @@ int CEASEALexer::create(CEASEAParser* pParser, CSymbolTable* pSymTable)
strcat(sTemp,"STD.tpl");
else if (TARGET_FLAVOR == STD_FLAVOR_CMAES)
strcat(sTemp,"CMAES.tpl");
else if( TARGET_FLAVOR == CUDA_FLAVOR_GP )
strcat(sTemp,"CUDA_GP.tpl");
else
strcat(sTemp,"STD_MO.tpl");
if (!(yyin = fpTemplateFile = fopen(sTemp, "r"))){
......
dev/tgp_regression/tgp_regression.ez
View file @ 1c9c8042
This diff is collapsed.
dev/tgp_regression/tgp_regressionEval.cu
View file @ 1c9c8042
......@@ -2,21 +2,208 @@
#define MAX_STACK 50
#define LOGNUMTHREAD2 7
#define NUMTHREAD 32
#define LOGNUMTHREAD 5
#define HIT_LEVEL 0.01f
#define PROBABLY_ZERO 1.11E-15f
#define BIG_NUMBER 1.0E15f
struct gpuArg{
int threadId;
sem_t sem_in;
sem_t sem_out;
float* progs_k;
float* results_k;
int* indexes_k;
int* hits_k;
float* inputs_k;
float* outputs_k;
int index_st;
int index_end;
int indiv_st;
int indiv_end;
};
struct gpuArg* gpuArgs;
bool freeGPU = false;
int sh_pop_size = 0;
int sh_length = 0;
__global__ static void
EvaluatePostFixIndividuals_128(const float * k_progs,
const int maxprogssize,
const int popsize,
const float * k_inputs,
const float * k_outputs,
const int trainingSetSize,
float * k_results,
int *k_hits,
int* k_indexes
fastEvaluatePostFixIndividuals_32_mgpu( const float * k_progs,
const int maxprogssize,
const int popsize,
const float * k_inputs,
const float * k_outputs,
const int trainingSetSize,
float * k_results,
int *k_hits,
const int indivPerBlock,
const int* indexes,
const int start_index,
const int gpu_id
){
extern __shared__ float scratch[];
float* tmpresult = scratch+(threadIdx.y*NUMTHREAD);
float* tmphits = scratch+(indivPerBlock*NUMTHREAD)+(threadIdx.y*NUMTHREAD);
/* __shared__ float tmpresult[NUMTHREAD]; */
/* __shared__ float tmphits[NUMTHREAD]; */
const int tid = threadIdx.x; //0 to NUM_THREADS-1
const int bid = blockIdx.x+threadIdx.y*(popsize/indivPerBlock)+blockIdx.y*gridDim.x; // 0 to NUM_BLOCKS-1
int index; // index of the prog processed by the block
float sum = 0.0;
int hits = 0 ; // hits number
float currentOutput;
float result;
int start_prog;
int codop;
float stack[MAX_STACK];
int sp;
float op1, op2;
float tmp;
float currentW, currentX, currentY, currentZ;
index = bid; // one program per block => block ID = program number
if (index >= popsize){ // idle block (should never occur)
return;
}
if (indexes[index] == -1.0) // already evaluated
return;
// Here, it's a busy thread
sum = 0.0;
hits = 0 ; // hits number
// Loop on training cases, per cluster of 32 cases (= number of thread)
// (even if there are only 8 stream processors, we must spawn at least 32 threads)
// We loop from 0 to upper bound INCLUDED in case trainingSetSize is not
// a multiple of NUMTHREAD
for (int i=0; i < ((trainingSetSize-1)>>LOGNUMTHREAD)+1; i++) {
// are we on a busy thread?
if (i*NUMTHREAD+tid >= trainingSetSize) // no!
continue;
#if OP_W>=0
currentW = k_inputs[(i*NUMTHREAD*VAR_LEN)+tid*VAR_LEN+0];
#endif
#if OP_X>=0
currentX = k_inputs[(i*NUMTHREAD2*VAR_LEN)+tid*VAR_LEN+1];
#endif
#if OP_Y>=0
currentY = k_inputs[(i*NUMTHREAD2*VAR_LEN)+tid*VAR_LEN+2];
#endif
#if OP_Z>=0
currentZ = k_inputs[(i*NUMTHREAD2*VAR_LEN)+tid*VAR_LEN+3];
#endif
currentOutput = k_outputs[i*NUMTHREAD+tid];
start_prog = indexes[index]-start_index; // index of first codop
codop = k_progs[start_prog++];
sp = 0; // stack and stack pointer
while (codop != OP_RETURN){
switch(codop){
case OP_W : stack[sp++] = currentW; break;
case OP_ERC: stack[sp++] = k_progs[start_prog++]; break;
case OP_MUL :
op1 = stack[--sp]; op2 = stack[sp-1];
stack[sp-1] = op1*op2; break;
case OP_ADD :
op1 = stack[--sp]; op2 = stack[sp-1];
stack[sp-1] = op1+op2; break;
case OP_SUB :
op1 = stack[--sp]; op2 = stack[sp-1];
stack[sp-1] = op2 - op1; break;
case OP_DIV :
op2 = stack[--sp]; op1 = stack[sp-1];
if (op2 == 0.0) stack[sp-1] = DIV_ERR_VALUE;
else stack[sp-1] = op1/op2; break;
case OP_SIN : stack[sp-1] = sinf(stack[sp-1]); break;
case OP_COS : stack[sp-1] = cosf(stack[sp-1]); break;
}
// get next codop
codop = k_progs[start_prog++];
} // codop interpret loop
result = fabsf(stack[0] - currentOutput);
if (!(result < BIG_NUMBER))
result = BIG_NUMBER;
else if (result < PROBABLY_ZERO)
result = 0.0;
if (result <= HIT_LEVEL)
hits++;
sum += result; // sum raw error on all training cases
} // LOOP ON TRAINING CASES
// gather results from all threads => we need to synchronize
//tmpresult[tid+threadIdx.y*NUMTHREAD] = sum;
//tmphits[tid+threadIdx.y*NUMTHREAD] = hits;
//tmpresult[threadIdx.y][tid] = sum;
//tmphits[threadIdx.y][tid] = hits;
tmpresult[tid] = sum;
tmphits[tid] = hits;
//__syncthreads();
if (tid == 0) {
int id=threadIdx.y*NUMTHREAD;
for (int i = 1; i < NUMTHREAD; i++) {
tmpresult[0] += tmpresult[i];
tmphits[0] += tmphits[i];
}
k_results[index] = tmpresult[0];
k_hits[index] = tmphits[0];
//printf("tid.y = %d k_results %d = %f\n",threadIdx.y,index,k_results[index]);
}
// here results and hits have been stored in their respective array: we can leave
}
__global__ static void
EvaluatePostFixIndividuals_128_mgpu(const float * k_progs,
const int maxprogssize,
const int popsize,
const float * k_inputs,
const float * k_outputs,
const int trainingSetSize,
float * k_results,
int *k_hits,
int* k_indexes,
int start_index,
int gpu_id
)
{
__shared__ float tmpresult[NUMTHREAD2];
......@@ -30,7 +217,7 @@ EvaluatePostFixIndividuals_128(const float * k_progs,
float sum = 0.0;
int hits = 0 ; // hits number
float currentX, currentOutput;
float currentW, currentX, currentY, currentZ, currentOutput;
float result;
int start_prog;
int codop;
......@@ -61,10 +248,23 @@ EvaluatePostFixIndividuals_128(const float * k_progs,
if (i*NUMTHREAD2+tid >= trainingSetSize) // no!
continue;
currentX = k_inputs[i*NUMTHREAD2+tid];
#if OP_W>=0
currentW = k_inputs[(i*NUMTHREAD2*VAR_LEN)+tid*VAR_LEN+0];
#endif
#if OP_X>=0
currentX = k_inputs[(i*NUMTHREAD2*VAR_LEN)+tid*VAR_LEN+1];
#endif
#if OP_Y>=0
currentY = k_inputs[(i*NUMTHREAD2*VAR_LEN)+tid*VAR_LEN+2];
#endif
#if OP_Z>=0
currentZ = k_inputs[(i*NUMTHREAD2*VAR_LEN)+tid*VAR_LEN+3];
#endif
currentOutput = k_outputs[i*NUMTHREAD2+tid];
start_prog = k_indexes[index]; // index of first codop
start_prog = k_indexes[index]-start_index; // index of first codop
codop = k_progs[start_prog++];
sp = 0; // stack and stack pointer
......@@ -72,50 +272,23 @@ EvaluatePostFixIndividuals_128(const float * k_progs,
while (codop != OP_RETURN){
switch(codop)
{
case OP_W :
stack[sp++] = currentX;
break;
case OP_ERC:
tmp = k_progs[start_prog++];
stack[sp++] = tmp;
break;
case OP_W : stack[sp++] = currentW; break;
case OP_ERC: stack[sp++] = k_progs[start_prog++]; break;
case OP_MUL :
sp--;
op1 = stack[sp];
sp--;
op2 = stack[sp];
stack[sp] = __fmul_rz(op1, op2);
stack[sp] = op1*op2;
sp++;
break;
op1 = stack[--sp]; op2 = stack[sp-1];
stack[sp-1] = op1*op2; break;
case OP_ADD :
sp--;
op1 = stack[sp];
sp--;
op2 = stack[sp];
stack[sp] = __fadd_rz(op1, op2);
stack[sp] = op1+op2;
sp++;
break;
op1 = stack[--sp]; op2 = stack[sp-1];
stack[sp-1] = op1+op2; break;
case OP_SUB :
sp--;
op1 = stack[sp];
sp--;
op2 = stack[sp];
stack[sp] = op2 - op1;
sp++;
break;
op1 = stack[--sp]; op2 = stack[sp-1];
stack[sp-1] = op2 - op1; break;
case OP_DIV :
sp--;
op2 = stack[sp];
sp--;
op1 = stack[sp];
if (op2 == 0.0)
stack[sp] = 1.0;
else
stack[sp] = op1/op2;
sp++;
break;
op2 = stack[--sp]; op1 = stack[sp-1];
if (op2 == 0.0) stack[sp-1] = DIV_ERR_VALUE;
else stack[sp-1] = op1/op2; break;
case OP_SIN : stack[sp-1] = sinf(stack[sp-1]); break;
case OP_COS : stack[sp-1] = cosf(stack[sp-1]); break;
}
// get next codop
codop = k_progs[start_prog++];
......@@ -147,6 +320,131 @@ EvaluatePostFixIndividuals_128(const float * k_progs,
}
k_results[index] = tmpresult[0];
k_hits[index] = tmphits[0];
//printf("g %d %d %f\n",gpu_id,bid,k_results[index]);
//fflush(stdout);
}
// here results and hits have been stored in their respective array: we can leave
}
void wake_up_gpu_thread(int nbGpu){
for( int i=0 ; i<nbGPU ; i++ ){
DEBUG_PRT("wake up th %d",i);
//fflush(stdout);
sem_post(&(gpuArgs[i].sem_in));
}
for( int i=0 ; i<nbGPU ; i++ ){
sem_wait(&gpuArgs[i].sem_out);
}
}
void notify_gpus(float* progs, int* indexes, int length, CIndividual** population, int popSize, int nbGpu){
int pop_chunk_len = popSize / nbGpu;
//cout << " population chunk length : " << pop_chunk_len << "/" << length << endl;
assert(nbGpu==2);
#ifdef INSTRUMENTED
currentStats.gpu0Blen = indexes[pop_chunk_len];
currentStats.gpu1Blen = length-indexes[pop_chunk_len];
#endif
sh_pop_size = pop_chunk_len;
sh_length = length;
wake_up_gpu_thread(nbGpu);
}
/**
Send input and output data on the GPU memory.
Allocate
*/
void initialDataToMGPU(float* input_f, int length_input, float* output_f, int length_output, int gpu_id){
// allocate and copy input/output arrays
CUDA_SAFE_CALL(cudaMalloc((void**)(&(gpuArgs[gpu_id].inputs_k)),sizeof(float)*length_input));
CUDA_SAFE_CALL(cudaMalloc((void**)(&(gpuArgs[gpu_id].outputs_k)),sizeof(float)*length_output));
CUDA_SAFE_CALL(cudaMemcpy((gpuArgs[gpu_id].inputs_k),input_f,sizeof(float)*length_input,cudaMemcpyHostToDevice));
CUDA_SAFE_CALL(cudaMemcpy((gpuArgs[gpu_id].outputs_k),output_f,sizeof(float)*length_output,cudaMemcpyHostToDevice));
// allocate indexes and programs arrays
int maxPopSize = MAX(EA->population->parentPopulationSize,EA->population->offspringPopulationSize);
CUDA_SAFE_CALL( cudaMalloc((void**)&(gpuArgs[gpu_id].indexes_k),sizeof(*indexes_k)*maxPopSize));
CUDA_SAFE_CALL( cudaMalloc((void**)&(gpuArgs[gpu_id].progs_k),sizeof(*progs_k)*MAX_PROGS_SIZE));
// allocate hits and results arrays
CUDA_SAFE_CALL(cudaMalloc((void**)&(gpuArgs[gpu_id].results_k),sizeof(*indexes_k)*maxPopSize));
CUDA_SAFE_CALL(cudaMalloc((void**)&(gpuArgs[gpu_id].hits_k),sizeof(*indexes_k)*maxPopSize));
}
void* gpuThreadMain(void* arg){
struct gpuArg* localArg = (struct gpuArg*)arg;
DEBUG_PRT("gpu th %d",localArg->threadId);
CUDA_SAFE_CALL(cudaSetDevice(localArg->threadId));
// Alloc memory for this thread
initialDataToMGPU(inputs_f, fitnessCasesSetLength*VAR_LEN, outputs_f, fitnessCasesSetLength*NB_TREES,localArg->threadId);
DEBUG_PRT("allocation ok for th %d",localArg->threadId);
//sem_post(&localArg->sem_out);
// Wait for population to evaluate.
while(1){
//printf("gpu %d is evaluating\n",localArg->threadId);
sem_wait(&localArg->sem_in);
int indiv_st = localArg->threadId*sh_pop_size;
int indiv_end = indiv_st+sh_pop_size;
int index_st = indexes[indiv_st];
int index_end = 0;
if( localArg->threadId != nbGPU-1 ) index_end = indexes[indiv_end];
else index_end = sh_length;
if( freeGPU )
break;
/* cout << "gpu " << localArg->threadId << " has been notified" << endl; */
/* cout << indiv_st << "|" << indiv_end << "|" << index_st << "|" << index_end << endl; */
/* fflush(stdout); */
//here we copy assigned population chunk to the related GPU
CUDA_SAFE_CALL(cudaMemcpy( localArg->indexes_k, indexes+indiv_st, (indiv_end-indiv_st)*sizeof(int), cudaMemcpyHostToDevice ));
CUDA_SAFE_CALL(cudaMemcpy( localArg->progs_k, progs+index_st, (index_end-index_st)*sizeof(int), cudaMemcpyHostToDevice ));
#if 1
EvaluatePostFixIndividuals_128_mgpu<<<sh_pop_size,128>>>(localArg->progs_k, index_end-index_st, sh_pop_size, localArg->inputs_k, localArg->outputs_k,
NB_FITNESS_CASES, localArg->results_k, localArg->hits_k, localArg->indexes_k, index_st, localArg->threadId);
#else
int indivPerBlock = 4;
dim3 numthreads;
numthreads.x = 32;
numthreads.y = indivPerBlock;
fastEvaluatePostFixIndividuals_32_mgpu<<<sh_pop_size/indivPerBlock,numthreads,NUMTHREAD*sizeof(float)*2*indivPerBlock>>>
(localArg->progs_k, index_end-index_st, sh_pop_size, localArg->inputs_k, localArg->outputs_k, NB_FITNESS_CASES,
localArg->results_k, localArg->hits_k, indivPerBlock, localArg->indexes_k, index_st, localArg->threadId);
#endif
/* cudaThreadSynchronize(); */
CUDA_SAFE_CALL( cudaMemcpy( results+(localArg->threadId*sh_pop_size), localArg->results_k, (indiv_end-indiv_st)*sizeof(int), cudaMemcpyDeviceToHost));
CUDA_SAFE_CALL( cudaMemcpy( hits+(localArg->threadId*sh_pop_size), localArg->hits_k, (indiv_end-indiv_st)*sizeof(int), cudaMemcpyDeviceToHost));
sem_post(&localArg->sem_out);
}
DEBUG_PRT("gpu : %d",localArg->threadId);
DEBUG_PRT("addr k_prog : %p",localArg->progs_k);
CUDA_SAFE_CALL(cudaFree(localArg->progs_k));
CUDA_SAFE_CALL(cudaFree(localArg->results_k));
CUDA_SAFE_CALL(cudaFree(localArg->hits_k));
CUDA_SAFE_CALL(cudaFree(localArg->inputs_k));
CUDA_SAFE_CALL(cudaFree(localArg->outputs_k));
sem_post(&localArg->sem_out);
cout << "gpu " << localArg->threadId << " has been freed" << endl;
fflush(stdout);
return NULL;
}