VCluster.cpp

#define PRINT_STACKTRACE

#include "config.h"
#include "VCluster.hpp"
#ifndef __CYGWIN__
#include <execinfo.h>
#endif

#include "util/print_stack.hpp"
#include "util/math_util_complex.hpp"

Vcluster<> * global_v_cluster_private_heap = NULL;
Vcluster<CudaMemory> * global_v_cluster_private_cuda = NULL;

//
std::vector<int> sieve_spf;

// number of vcluster instances
size_t n_vcluster = 0;
bool ofp_initialized = false;

size_t tot_sent = 0;
size_t tot_recv = 0;

size_t NBX_cnt = 0;

std::string program_name;

#ifdef CUDA_GPU

#include "memory/CudaMemory.cuh"

CudaMemory mem_tmp;

CudaMemory rem_tmp;
CudaMemory rem_tmp2[MAX_NUMER_OF_PROPERTIES];

CudaMemory exp_tmp;
CudaMemory exp_tmp2[MAX_NUMER_OF_PROPERTIES];

#endif

// Segmentation fault signal handler
void bt_sighandler(int sig, siginfo_t * info, void * ctx_p)
{
    if (sig == SIGSEGV)
        std::cout << "Got signal " << sig << " faulty address is %p, " << info->si_addr << " from " << info->si_pid << std::endl;
    else
        std:: cout << "Got signal " << sig << std::endl;

    print_stack();

    exit(1);
}

double time_spent = 0.0;


void openfpm_init_vcl(int *argc, char ***argv)
{

#ifdef HAVE_PETSC

    PetscInitialize(argc,argv,NULL,NULL);

#endif

    init_global_v_cluster_private(argc,argv);

#ifdef SE_CLASS1
    std::cout << "OpenFPM is compiled with debug mode LEVEL:1. Remember to remove SE_CLASS1 when you go in production" << std::endl;
#endif

#ifdef SE_CLASS2
    std::cout << "OpenFPM is compiled with debug mode LEVEL:2. Remember to remove SE_CLASS2 when you go in production" << std::endl;
#endif

#ifdef SE_CLASS3
    std::cout << "OpenFPM is compiled with debug mode LEVEL:3. Remember to remove SE_CLASS3 when you go in production" << std::endl;
#endif

    init_wrappers();

    // install segmentation fault signal handler

    struct sigaction sa;

    sa.sa_sigaction = bt_sighandler;
    sigemptyset(&sa.sa_mask);
    sa.sa_flags = SA_RESTART;

    sigaction(SIGSEGV, &sa, NULL);

    if (argc != NULL && *argc != 0)
    {program_name = std::string(*argv[0]);}

    // Initialize math pre-computation tables
    openfpm::math::init_getFactorization();

    ofp_initialized = true;

#ifdef CUDA_GPU

    // Initialize temporal memory
    mem_tmp.incRef();

    exp_tmp.incRef();

    for (int i = 0 ; i < MAX_NUMER_OF_PROPERTIES ; i++)
    {
        exp_tmp2[i].incRef();
    }


#endif
}

size_t openfpm_vcluster_compilation_mask()
{
    size_t compiler_mask = CUDA_ON_BACKEND;

    return compiler_mask;
}

void openfpm_finalize()
{
#ifdef HAVE_PETSC

    PetscFinalize();

#endif

    delete_global_v_cluster_private();
    ofp_initialized = false;

#ifdef CUDA_GPU

    // Release memory
    mem_tmp.destroy();
    mem_tmp.decRef();

    exp_tmp.destroy();
    exp_tmp.decRef();

    for (int i = 0 ; i < MAX_NUMER_OF_PROPERTIES ; i++)
    {
        exp_tmp2[i].destroy();
        exp_tmp2[i].decRef();
    }

#endif
}