| 123456789101112131415161718192021222324252627282930313233343536373839404142434445464748495051525354555657585960616263646566676869707172737475767778798081828384858687888990919293949596979899100101102103104105106107108109110111112113114115116117118119120121122123124125126127128129130131132133134135136137138139140141142143144145146147148149150151152153154155156157158159160161162163164165166167168169170171172173174175176177178179180181182183184185186187188189190191192193194195196197198199200201202203204205206207208209210211212213214215216217218219220221222223224225226227228229230231232233234235236237238239240241242243244245246247248249250251252253254255256257258259260261262263264265266267268269270271272273274275276277278279280281282283284285286287288289290291292293294295296297298299300301302303304305306307308309310311312313314315 | /* StarPU --- Runtime system for heterogeneous multicore architectures. * * Copyright (C) 2011,2012,2014                           Inria * Copyright (C) 2011-2016,2019                           Université de Bordeaux * Copyright (C) 2011-2017                                CNRS * Copyright (C) 2011                                     Télécom-SudParis * * StarPU is free software; you can redistribute it and/or modify * it under the terms of the GNU Lesser General Public License as published by * the Free Software Foundation; either version 2.1 of the License, or (at * your option) any later version. * * StarPU is distributed in the hope that it will be useful, but * WITHOUT ANY WARRANTY; without even the implied warranty of * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. * * See the GNU Lesser General Public License in COPYING.LGPL for more details. */#include <starpu.h>#include <starpu_scheduler.h>#include "../helper.h"/* * A multi-implementation benchmark with dmda scheduler * we aim to test the energy model with the different size of gamma * for large size of gamma, dmda choose the second implementation which consumes less energy * otherwise, it choose the first implementtaion which minimizes the execution time */#define STARTlin 1048576#define START 1024#ifdef STARPU_QUICK_CHECK#define END 1048576#else#define END 16777216#endifint ret;//1er implémentation avec un delai initial (100 us)void memset0_cpu(void *descr[], void *arg){    (void)arg;    STARPU_SKIP_IF_VALGRIND;    int *ptr = (int *)STARPU_VECTOR_GET_PTR(descr[0]);    unsigned n = STARPU_VECTOR_GET_NX(descr[0]);    int i;    //usleep () function    //usleep(100);    for (i=0; i<n ; i++)    {        ptr[0] += i;    }}//deuxième implémentation sans delai initial usleep() et fait 2.5 plus de tours de bouclesvoid memset_cpu(void *descr[], void *arg){    (void)arg;    STARPU_SKIP_IF_VALGRIND;    int *ptr = (int *)STARPU_VECTOR_GET_PTR(descr[0]);    unsigned n = STARPU_VECTOR_GET_NX(descr[0]);    int i;    for (i=0; i<6.5*n ; i++)    {        ptr[0] += i;    }}//fonction pour mesurer l'energiedouble energy_function(struct starpu_task *task, struct starpu_perfmodel_arch *arch, unsigned nimpl){    double energy;    int factor;    if (nimpl == 0)        factor = 10;    else        factor = 1;    energy=starpu_task_expected_length(task, arch, nimpl)*factor;    return energy;}static struct starpu_perfmodel model ={    .type = STARPU_REGRESSION_BASED,    .symbol = "memset_regression_based"};static struct starpu_perfmodel nl_model ={    .type = STARPU_NL_REGRESSION_BASED,    .symbol = "non_linear_memset_regression_based"};static struct starpu_perfmodel nl_energy_model={    .type = STARPU_PER_ARCH,    .symbol = "non_linear_energy_model",    .arch_cost_function={energy_function},};static struct starpu_codelet memset_cl ={    .cpu_funcs = {memset0_cpu, memset_cpu},    .cpu_funcs_name = {"memset0_cpu", "memset_cpu"},    .model = &model,    .nbuffers = 1,    .modes = {STARPU_W}};static struct starpu_codelet nl_memset_cl ={    .cpu_funcs = {memset0_cpu, memset_cpu},    .cpu_funcs_name = {"memset0_cpu", "memset_cpu"},    .model = &nl_model,    .energy_model = &nl_energy_model,    .nbuffers = 1,    .modes = {STARPU_W}};static void test_memset(int nelems, struct starpu_codelet *codelet){    int nloops = 100;    int loop;    starpu_data_handle_t handle;    starpu_vector_data_register(&handle, -1, (uintptr_t)NULL, nelems, sizeof(int));    for (loop = 0; loop < nloops; loop++)    {        struct starpu_task *task = starpu_task_create();        task->cl = codelet;        task->handles[0] = handle;        int ret = starpu_task_submit(task);        if (ret == -ENODEV)            exit(STARPU_TEST_SKIPPED);        STARPU_CHECK_RETURN_VALUE(ret, "starpu_task_submit");    }    starpu_data_unregister(handle);}static void compare_performance(int size, struct starpu_codelet *codelet, struct starpu_task *task){    unsigned i;    int niter = 100;    starpu_data_handle_t handle;    starpu_vector_data_register(&handle, -1, (uintptr_t)NULL, size, sizeof(int));    struct starpu_task **tasks = (struct starpu_task **) malloc(niter*sizeof(struct starpu_task *));    assert(tasks);    for (i = 0; i < niter; i++)    {        //fabriquer la tache        struct starpu_task *task = starpu_task_create();        task->cl = codelet;        task->handles[0] = handle;        task->synchronous = 1;        /* We will destroy the task structure by hand so that we can         * query the profiling info before the task is destroyed. */        task->destroy = 0;        tasks[i] = task;        //soumettre la tache        ret = starpu_task_submit(task);        if (STARPU_UNLIKELY(ret == -ENODEV))        {            FPRINTF(stderr, "No worker may execute this task\n");            exit(0);        }    }    starpu_data_unregister(handle);    starpu_task_wait_for_all();    double length_sum = 0.0;    for (i = 0; i < niter; i++)    {        struct starpu_task *task = tasks[i];        struct starpu_profiling_task_info *info = task->profiling_info;        /* How long was the task execution ? */        length_sum += starpu_timing_timespec_delay_us(&info->start_time, &info->end_time);        /* We don't need the task structure anymore */        starpu_task_destroy(task);    }    /* Display the occupancy of all workers during the test */    unsigned worker;    for (worker = 0; worker < starpu_worker_get_count(); worker++)    {        struct starpu_profiling_worker_info worker_info;        ret = starpu_profiling_worker_get_info(worker, &worker_info);        STARPU_ASSERT(!ret);        char workername[128];        starpu_worker_get_name(worker, workername, sizeof(workername));        unsigned nimpl;        if (starpu_worker_get_type(worker)==STARPU_CPU_WORKER)        {            FPRINTF(stdout, "\n Worker :%s ::::::::::\n\n", workername);            for (nimpl = 0; nimpl < STARPU_MAXIMPLEMENTATIONS; nimpl++)            {                FPRINTF(stdout, "Expected time for %d on %s (impl %u): %f, Measured time: %f, Expected energy: %f\n",                        size, workername, nimpl,starpu_task_expected_length(task, starpu_worker_get_perf_archtype(worker, task->sched_ctx), nimpl), ((length_sum)/niter),                        starpu_task_expected_energy(task, starpu_worker_get_perf_archtype(worker, task->sched_ctx), nimpl));            }        }    }}int main(int argc, char **argv){    /* Enable profiling */    starpu_profiling_status_set(1);    struct starpu_conf conf;    starpu_data_handle_t handle;    int ret;    starpu_conf_init(&conf);    conf.sched_policy_name = "dmda";    conf.calibrate = 2;    ret = starpu_initialize(&conf, &argc, &argv);    if (ret == -ENODEV) return STARPU_TEST_SKIPPED;    STARPU_CHECK_RETURN_VALUE(ret, "starpu_init");    int size;    for (size = STARTlin; size < END; size *= 2)    {        /* Use a linear regression */        test_memset(size, &memset_cl);    }    for (size = START; size < END; size *= 2)    {        /* Use a non-linear regression */        test_memset(size, &nl_memset_cl);    }    ret = starpu_task_wait_for_all();    STARPU_CHECK_RETURN_VALUE(ret, "starpu_task_wait_for_all");    starpu_shutdown();    /* Test Phase */    starpu_conf_init(&conf);    conf.sched_policy_name = "dmda";    conf.calibrate = 0;    ret = starpu_initialize(&conf, &argc, &argv);    if (ret == -ENODEV) return STARPU_TEST_SKIPPED;    STARPU_CHECK_RETURN_VALUE(ret, "starpu_init");    /* Now create a dummy task just to estimate its duration according to the regression */    size = 1234567;    starpu_vector_data_register(&handle, -1, (uintptr_t)NULL, size, sizeof(int));    struct starpu_task *task = starpu_task_create();    task->cl = &memset_cl;    task->handles[0] = handle;    task->destroy = 0;    task->cl = &nl_memset_cl;    FPRINTF(stdout, "\n ////non linear regression results////\n");    compare_performance(size, &nl_memset_cl,task);    starpu_task_destroy(task);    starpu_data_unregister(handle);    starpu_shutdown();    return EXIT_SUCCESS;}
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