eliminate leak and fix memory tracking
This commit is contained in:
parent
5ad10a1057
commit
bd541bc57f
@ -52,7 +52,7 @@ int bpreds(int *dop1, int rows, int cols, int *bin, int3 numpreds, int **ret)
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int tmplen = rows + 1;
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int size = tmplen * sizeof(int);
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reservar(&temp, size);
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// cerr << "+ " << temp << " temp bpreds " << size << endl;
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// DEBUG_MEM cerr << "+ " << temp << " temp bpreds " << size << endl;
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cudaMemset(temp, 0, size);
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#if TIMER
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@ -68,7 +68,7 @@ int bpreds(int *dop1, int rows, int cols, int *bin, int3 numpreds, int **ret)
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else
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hsize = sproj;
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reservar(&dhead, hsize);
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// cerr << "+ " << dhead << " dhead " << hsize << endl;
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// DEBUG_MEM cerr << "+ " << dhead << " dhead " << hsize << endl;
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cudaMemcpy(dhead, bin, spredn, cudaMemcpyHostToDevice);
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int blockllen = rows / 1024 + 1;
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@ -113,7 +113,7 @@ int bpreds(int *dop1, int rows, int cols, int *bin, int3 numpreds, int **ret)
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int *fres;
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reservar(&fres, num * sproj);
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// cerr << "+ " << fres << " fres " << num * sproj << endl;
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// DEBUG_MEM cerr << "+ " << fres << " fres " << num * sproj << endl;
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cudaMemcpy(dhead, bin + predn, sproj, cudaMemcpyHostToDevice);
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llenarproyectar<<<blockllen, numthreads, sproj>>>(dop1, rows, numpreds.y, temp, dhead, numpreds.z, fres);
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@ -859,6 +859,7 @@ extern "C"
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void Cuda_Statistics(void)
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{
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cerr << "GPU Statistics" << endl;
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#if TIMER
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cerr << "Called " << cuda_stats.calls << "times." << endl;
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cerr << "GPU time " << cuda_stats.total_time << "msec." << endl;
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cerr << "Longest call " << cuda_stats.max_time << "msec." << endl;
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@ -875,6 +876,7 @@ extern "C"
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cerr << " Selects/Projects: " << cuda_stats.selects << "." << endl;
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cerr << " Unions: " << cuda_stats.unions << "." << endl;
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cerr << " Built-ins: " << cuda_stats.builtins << "." << endl << endl;
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#endif
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}
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extern "C"
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@ -946,11 +948,13 @@ int Cuda_Eval(predicate **inpfacts, int ninpf, predicate **inprules, int ninpr,
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vector<gpunode>::iterator qposf;
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vector<rulenode>::iterator qposr;
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#if TIMER
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cudaEvent_t start, stop;
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float time;
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cudaEventCreate(&start);
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cudaEventCreate(&stop);
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cudaEventRecord(start, 0);
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#endif
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while(reglas.size()) /*Here's the main loop*/
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{
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@ -996,7 +1000,7 @@ int Cuda_Eval(predicate **inpfacts, int ninpf, predicate **inprules, int ninpr,
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{
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num_refs = rows1 * cols1 * sizeof(int);
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reservar(&res, num_refs);
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// cerr << "+ " << res << " Res " << num_refs << endl;
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// DEBUG_MEM cerr << "+ " << res << " Res " << num_refs << endl;
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cudaMemcpyAsync(res, dop1, num_refs, cudaMemcpyDeviceToDevice);
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registrar(rul_act->name, cols1, res, rows1, itr, 1);
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rul_act->gen_ant = rul_act->gen_act;
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@ -1285,7 +1289,7 @@ int Cuda_Eval(predicate **inpfacts, int ninpf, predicate **inprules, int ninpr,
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res_rows = selectproyect(dop1, rows1, cols1, tmprule.num_columns, tmprule.select[0], tmprule.numsel[0], tmprule.selfjoin[0], tmprule.numselfj[0], tmprule.project[0], &res);
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if(qposr != fin && qposr->name == qname) {
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cudaFree(dop1);
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// cerr << "- " << dop1 << " dop1" << endl;
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// DEBUG_MEM cerr << "- " << dop1 << " dop1" << endl;
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}
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}
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@ -1293,14 +1297,15 @@ int Cuda_Eval(predicate **inpfacts, int ninpf, predicate **inprules, int ninpr,
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tipo = res_rows * cols1 * sizeof(int);
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hres = (int *)malloc(tipo);
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cudaMemcpy(hres, res, tipo, cudaMemcpyDeviceToHost);
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if(res_rows > 0 && tmprule.numsel[0] != 0 && tmprule.numselfj[0] != 0) {
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if(res_rows > 0 /*&& tmprule.numsel[0] != 0 && tmprule.numselfj[0] != 0 */) {
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cudaFree(res);
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// cerr << "- " << res << " res" << endl;
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// DEBUG_MEM cerr << "- " << res << " res" << endl;
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}
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}
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else
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res_rows = 0;
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#if TIMER
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cudaEventRecord(stop, 0);
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cudaEventSynchronize(stop);
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cudaEventElapsedTime(&time, start, stop);
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@ -1311,6 +1316,7 @@ int Cuda_Eval(predicate **inpfacts, int ninpf, predicate **inprules, int ninpr,
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cuda_stats.min_time = time;
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cudaEventDestroy(start);
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cudaEventDestroy(stop);
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#endif
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if(showr == 1)
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{
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@ -112,7 +112,7 @@ void limpiar(const char s[])
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if(GPUmem.size() == 0)
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{
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// cerr << s << ": not enough GPU memory: have " << avmem << endl;
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// DEBUG_MEM cerr << s << ": not enough GPU memory: have " << avmem << endl;
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exit(1);
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}
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@ -176,7 +176,7 @@ void liberar(int *ptr, int size)
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//cout << "L " << avmem << " " << size;
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cudaFree(ptr);
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// cerr << "- " << ptr << " " << size << endl;
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// DEBUG_MEM cerr << "- " << ptr << " " << size << endl;
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avmem += size;
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//cout << " " << avmem << endl;
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@ -186,7 +186,7 @@ void reservar(int **ptr, int size)
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{
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//size_t free, total;
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//cudaMemGetInfo( &free, &total );
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// // cerr << "- " << free << " " << size << endl;
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// cerr << "? " << free << " " << size << endl;
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if (size == 0) {
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*ptr = NULL;
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@ -199,8 +199,8 @@ void reservar(int **ptr, int size)
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if (! *ptr ) {
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size_t free, total;
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cudaMemGetInfo( &free, &total );
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// cerr << "Could not allocate " << size << " bytes, only " << free << " avaliable from total of " << total << " !!!" << endl;
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// cerr << "Exiting CUDA...." << endl;
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cerr << "Could not allocate " << size << " bytes, only " << free << " avaliable from total of " << total << " !!!" << endl;
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cerr << "Exiting CUDA...." << endl;
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exit(1);
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}
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avmem -= size;
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@ -277,7 +277,7 @@ int cargar(int name, int num_rows, int num_columns, int is_fact, int *address_ho
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}
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size = num_rows * num_columns * sizeof(int);
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reservar(&temp, size);
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// cerr << "+ " << temp << " temp " << size << endl;
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// DEBUG_MEM cerr << "+ " << temp << " temp " << size << endl;
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cudaMemcpyAsync(temp, address_host_table, size, cudaMemcpyHostToDevice);
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registrar(name, num_columns, temp, num_rows, itr, 0);
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*ptr = temp;
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@ -297,7 +297,7 @@ int cargar(int name, int num_rows, int num_columns, int is_fact, int *address_ho
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}
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size = totalrows * num_columns * sizeof(int);
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reservar(&temp, size);
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// cerr << "+ " << temp << " temp 2 " << size << endl;
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// DEBUG_MEM cerr << "+ " << temp << " temp 2 " << size << endl;
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for(x = 1; x < numgpu; x++)
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{
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cudaMemcpyAsync(temp + temp_storage[x-1].size, temp_storage[x].dev_address, temp_storage[x].size, cudaMemcpyDeviceToDevice);
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@ -340,7 +340,7 @@ int cargafinal(int name, int cols, int **ptr)
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}
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reservar(&temp, cont * cols * sizeof(int));
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// cerr << "+ " << temp << " temp 3 " << cont * cols * sizeof(int) << endl;
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// DEBUG_MEM cerr << "+ " << temp << " temp 3 " << cont * cols * sizeof(int) << endl;
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ini = temp;
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pos = gpu;
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@ -463,7 +463,7 @@ void resultados(vector<rulenode>::iterator first, vector<rulenode>::iterator las
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cout << endl;
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}
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cudaFree(gpu->dev_address);
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// cerr << "- " << gpu->dev_address << " gpu->dev_address" << endl;
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// DEBUG_MEM cerr << "- " << gpu->dev_address << " gpu->dev_address" << endl;
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free(temp);
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gpu++;
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}
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@ -495,7 +495,7 @@ void clear_memory()
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{
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if (ini->isrule) {
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cudaFree(ini->dev_address);
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// cerr << "- " << ini->dev_address << " ini->dev_address" << endl;
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// DEBUG_MEM cerr << "- " << ini->dev_address << " ini->dev_address" << endl;
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ini = GPUmem.erase(ini);
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} else {
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ini++;
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@ -211,7 +211,7 @@ int selectproyect(int *dop1, int rows, int cols, int head_size, int *select, int
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#endif
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int head_bytes = mayor(numselect, numselfj, head_size) * sizeof(int);
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reservar(&dhead, head_bytes);
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// cerr << "+ " << dhead << " dhead " << head_bytes << endl;
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// DEBUG_MEM cerr << "+ " << dhead << " dhead " << head_bytes << endl;
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int blockllen = rows / 1024 + 1;
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int numthreads = 1024;
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@ -222,7 +222,7 @@ int selectproyect(int *dop1, int rows, int cols, int head_size, int *select, int
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tmplen = rows + 1;
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size2 = tmplen * sizeof(int);
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reservar(&temp, size2);
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// cerr << "+ " << temp << " temp select " << size2 << endl;
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// DEBUG_MEM cerr << "+ " << temp << " temp select " << size2 << endl;
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cudaMemset(temp, 0, size2);
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size = numselect * sizeof(int);
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@ -245,7 +245,7 @@ int selectproyect(int *dop1, int rows, int cols, int head_size, int *select, int
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size = head_size * sizeof(int);
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reservar(&fres, num * size);
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// cerr << "+ " << fres << " fres select " << num*size << endl;
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// DEBUG_MEM cerr << "+ " << fres << " fres select " << num*size << endl;
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cudaMemcpy(dhead, project, size, cudaMemcpyHostToDevice);
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llenarproyectar<<<blockllen, numthreads, size>>>(dop1, rows, cols, temp, dhead, head_size, fres);
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liberar(dhead, head_bytes);
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@ -260,7 +260,7 @@ int selectproyect(int *dop1, int rows, int cols, int head_size, int *select, int
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tmplen = rows + 1;
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size2 = tmplen * sizeof(int);
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reservar(&temp, size2);
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// cerr << "+ " << temp << " temp select " << size2 << endl;
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// DEBUG_MEM cerr << "+ " << temp << " temp select " << size2 << endl;
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cudaMemset(temp, 0, size2);
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size = numselfj * sizeof(int);
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@ -275,7 +275,7 @@ int selectproyect(int *dop1, int rows, int cols, int head_size, int *select, int
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size = head_size * sizeof(int);
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reservar(&fres, num * size);
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// cerr << "+ " << fres << " fres select again " << num*size << endl;
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// DEBUG_MEM cerr << "+ " << fres << " fres select again " << num*size << endl;
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cudaMemcpy(dhead, project, size, cudaMemcpyHostToDevice);
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llenarproyectar<<<blockllen, numthreads, size>>>(dop1, rows, cols, temp, dhead, head_size, fres);
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liberar(dhead, head_bytes);
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@ -287,7 +287,7 @@ int selectproyect(int *dop1, int rows, int cols, int head_size, int *select, int
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{
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size = head_size * sizeof(int);
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reservar(&fres, rows * size);
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// cerr << "+ " << fres << " fres select third " << rows*size << endl;
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// DEBUG_MEM cerr << "+ " << fres << " fres select third " << rows*size << endl;
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cudaMemcpy(dhead, project, size, cudaMemcpyHostToDevice);
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proyectar<<<blockllen, numthreads, size>>>(dop1, rows, cols, dhead, head_size, fres);
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liberar(dhead, head_bytes);
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@ -780,9 +780,9 @@ int join(int *p1, int *p2, int rLen, int sLen, int of1, int of2, list<rulenode>:
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int dconsize = sizet * 2;*/
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reservar(&dcons, sizet);
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// cerr << "+ " << dcons << " dcons tree " << sizet << endl;
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// DEBUG_MEM cerr << "+ " << dcons << " dcons tree " << sizet << endl;
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reservar(&temp, sizet2);
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// cerr << "+ " << temp << " temp tree " << sizet2 << endl;
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// DEBUG_MEM cerr << "+ " << temp << " temp tree " << sizet2 << endl;
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thrust::device_ptr<int> res = thrust::device_pointer_cast(temp);
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numthreads = 1024;
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@ -857,9 +857,9 @@ int join(int *p1, int *p2, int rLen, int sLen, int of1, int of2, list<rulenode>:
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memSizeS = newLen * sizeof(int);
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reservar(&d_S, memSizeS);
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// cerr << "+ " << d_S << " d_S " << memSizeS << endl;
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// DEBUG_MEM cerr << "+ " << d_S << " d_S " << memSizeS << endl;
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reservar(&posS, memSizeS);
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// cerr << "+ " << posS << " posS " << memSizeS << endl;
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// DEBUG_MEM cerr << "+ " << posS << " posS " << memSizeS << endl;
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llenar<<<blockllen, numthreads>>>(p2, d_S, sLen, of2, wherej[1], temp, posS);
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sLen = newLen;
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}
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@ -880,9 +880,9 @@ int join(int *p1, int *p2, int rLen, int sLen, int of1, int of2, list<rulenode>:
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memSizeS = newLen * sizeof(int);
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reservar(&d_S, memSizeS);
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// cerr << "+ " << d_S << " d_S m " << memSizeS << endl;
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// DEBUG_MEM cerr << "+ " << d_S << " d_S m " << memSizeS << endl;
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reservar(&posS, memSizeS);
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// cerr << "+ " << posS << " posS m " << memSizeS << endl;
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// DEBUG_MEM cerr << "+ " << posS << " posS m " << memSizeS << endl;
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llenar<<<blockllen, numthreads>>>(p2, d_S, sLen, of2, wherej[1], temp, posS);
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sLen = newLen;
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}
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@ -890,7 +890,7 @@ int join(int *p1, int *p2, int rLen, int sLen, int of1, int of2, list<rulenode>:
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{
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memSizeS = sLen * sizeof(int);
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reservar(&d_S, memSizeS);
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// cerr << "+ " << d_S << " d_S n " << memSizeS << endl;
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// DEBUG_MEM cerr << "+ " << d_S << " d_S n " << memSizeS << endl;
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llenarnosel<<<blockllen, numthreads>>>(p2, d_S, sLen, of2, wherej[1]);
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}
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}
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@ -938,9 +938,9 @@ int join(int *p1, int *p2, int rLen, int sLen, int of1, int of2, list<rulenode>:
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m32rLen = newLen + extraspace;
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sizem32 = m32rLen * sizeof(int);
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reservar(&d_R, sizem32);
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// cerr << "+ " << d_R << " d_R m " << sizem32 << endl;
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// DEBUG_MEM cerr << "+ " << d_R << " d_R m " << sizem32 << endl;
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reservar(&posR, sizem32);
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// cerr << "+ " << posR << " posR m " << sizem32 << endl;
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// DEBUG_MEM cerr << "+ " << posR << " posR m " << sizem32 << endl;
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cudaMemsetAsync(d_R + newLen, 0x7f, sizextra);
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cudaMemsetAsync(posR + newLen, 0x7f, sizextra);
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llenar<<<blockllen, numthreads>>>(p1, d_R, rLen, of1, wherej[0], temp, posR);
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@ -966,9 +966,9 @@ int join(int *p1, int *p2, int rLen, int sLen, int of1, int of2, list<rulenode>:
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m32rLen = newLen + extraspace;
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sizem32 = m32rLen * sizeof(int);
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reservar(&d_R, sizem32);
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// cerr << "+ " << d_R << " d_R n " << sizem32 << endl;
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// DEBUG_MEM cerr << "+ " << d_R << " d_R n " << sizem32 << endl;
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reservar(&posR, sizem32);
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// cerr << "+ " << posR << " posR n " << sizem32 << endl;
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// DEBUG_MEM cerr << "+ " << posR << " posR n " << sizem32 << endl;
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cudaMemsetAsync(d_R + newLen, 0x7f, sizextra);
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cudaMemsetAsync(posR + newLen, 0x7f, sizextra);
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llenar<<<blockllen, numthreads>>>(p1, d_R, rLen, of1, wherej[0], temp, posR);
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@ -978,7 +978,7 @@ int join(int *p1, int *p2, int rLen, int sLen, int of1, int of2, list<rulenode>:
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{
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sizem32 = m32rLen * sizeof(int);
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reservar(&d_R, sizem32);
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// cerr << "+ " << d_R << " d_R sizem32 " << sizem32 << endl;
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// DEBUG_MEM cerr << "+ " << d_R << " d_R sizem32 " << sizem32 << endl;
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cudaMemsetAsync(d_R + rLen, 0x7f, extraspace * sizeof(int));
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llenarnosel<<<blockllen, numthreads>>>(p1, d_R, rLen, of1, wherej[0]);
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}
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@ -989,7 +989,7 @@ int join(int *p1, int *p2, int rLen, int sLen, int of1, int of2, list<rulenode>:
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{
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sizem32 = m32rLen * sizeof(int);
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reservar(&d_R, sizem32);
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// cerr << "+ " << d_R << " d_R sz " << sizem32 << endl;
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// DEBUG_MEM cerr << "+ " << d_R << " d_R sz " << sizem32 << endl;
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cudaMemsetAsync(d_R + rLen, 0x7f, extraspace * sizeof(int));
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llenarnosel<<<blockllen, numthreads>>>(p1, d_R, rLen, of1, wherej[0]);
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}
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@ -1025,7 +1025,7 @@ int join(int *p1, int *p2, int rLen, int sLen, int of1, int of2, list<rulenode>:
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if(posR == NULL)
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{
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reservar(&posR, sizem32);
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// cerr << "+ " << posR << " posR m32 " << sizem32 << endl;
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// DEBUG_MEM cerr << "+ " << posR << " posR m32 " << sizem32 << endl;
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permutation = thrust::device_pointer_cast(posR);
|
||||
thrust::sequence(permutation, permutation + m32rLen);
|
||||
}
|
||||
@ -1093,7 +1093,7 @@ int join(int *p1, int *p2, int rLen, int sLen, int of1, int of2, list<rulenode>:
|
||||
|
||||
int *d_locations;
|
||||
reservar(&d_locations, memSizeS);
|
||||
// cerr << "+ " << d_locations << " d_locs n " << memSizeS << endl;
|
||||
// DEBUG_MEM cerr << "+ " << d_locations << " d_locs n " << memSizeS << endl;
|
||||
|
||||
dim3 Dbs(THRD_PER_BLCK_search, 1, 1);
|
||||
dim3 Dgs(BLCK_PER_GRID_search, 1, 1);
|
||||
@ -1133,7 +1133,7 @@ int join(int *p1, int *p2, int rLen, int sLen, int of1, int of2, list<rulenode>:
|
||||
cudaMemcpy(dcons, proj, sizepro, cudaMemcpyHostToDevice);
|
||||
resSize = sum * sizepro;
|
||||
reservar(&d_Rout, resSize);
|
||||
// cerr << "+ " << d_Rout << " d_Rout n " << resSize << endl;
|
||||
// DEBUG_MEM cerr << "+ " << d_Rout << " d_Rout n " << resSize << endl;
|
||||
if(numj > 2)
|
||||
{
|
||||
cudaMemcpy(dcons + rule->num_columns, wherej + 2, muljoinsize, cudaMemcpyHostToDevice);
|
||||
@ -1148,7 +1148,7 @@ int join(int *p1, int *p2, int rLen, int sLen, int of1, int of2, list<rulenode>:
|
||||
cudaMemcpy(dcons, proj, sizepro, cudaMemcpyHostToDevice);
|
||||
resSize = sum * sizepro;
|
||||
reservar(&d_Rout, resSize);
|
||||
// cerr << "+ " << d_Rout << " d_Rout 2 " << resSize << endl;
|
||||
// DEBUG_MEM cerr << "+ " << d_Rout << " d_Rout 2 " << resSize << endl;
|
||||
if(numj > 2)
|
||||
{
|
||||
cudaMemcpy(dcons + projp.y, wherej + 2, muljoinsize, cudaMemcpyHostToDevice);
|
||||
|
Reference in New Issue
Block a user