masterworker.cpp 6.36 KB
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#include <iostream>
#include <mpi.h>
#include <ginac/ginac.h>

#include "products.h"
#include "utils_parall.h"
#include "parall_constants.h"
#include "parall_internal.h"
#include "utils.h"

namespace gi = GiNaC;

/*******************************************************************************
 *                        Parallel 1-level decomposition                       *
 *******************************************************************************/

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gi::ex multiply_1level_master( tensor3D_t& T, unsigned int size, MPI_Comm comm = MPI_COMM_WORLD ) { 
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    gi::ex Tens = 0;
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    unsigned int a1, a2, a4;
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    gi::ex A;
    gi::lst symbols;

    MPI_Status status;
    char* expr_c;
    size_t expr_c_size = 0;
    int src, np, running = 0;
    unsigned int len;

    MPI_Comm_size( comm, &np );

    expr_c = NULL;
    expr_c = (char*) malloc( 3279 ); // TMP
    
    int receivedresults = 0;
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    unsigned int N = size/2;
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    std::vector<parameters_t> input;
    std::vector<std::string> results_s;
    std::vector<gi::ex> results;

    /* Build a list of argument sets */
    
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    for( a4 = 0 ; a4 < N ; a4++ ){
        for( a2 = 0; a2 < N ; a2++ ){
            for( a1 = 0 ; a1 < N ; a1++ ){
                parameters_t p( a4, a2, a1 );
                input.push_back( p );
            }
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	    }
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	}
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    /* Compute the set of symbols */
    /* Could be done while the first slave is working */
    
    symbols = all_symbols_3D( size );

    /* Distribute the work */

    while( input.size() > 0 ) {
        MPI_Recv( &len, 1, MPI_UNSIGNED, MPI_ANY_SOURCE, MPI_ANY_TAG, comm, &status );
        src = status.MPI_SOURCE;
       
        if( status.MPI_TAG == TAG_PULL ) {
            
            /* Nothing else will come: just send wome work */
            send_work( input, src, comm );
            
        } else {
            if( status.MPI_TAG == TAG_RES ){
                src = status.MPI_SOURCE;

                /* The first message contains the length of what is coming next */
                if( len != 0 ) {
                    if( len > expr_c_size ) {
                        expr_c_size = len;
                        if( NULL != expr_c ) free( expr_c );
                        expr_c = (char*)malloc( expr_c_size ); // The \0 was added by the slave
                    }
                    
                    /* Receive the result */
                    MPI_Recv( expr_c, len, MPI_CHAR, src, TAG_EXPR, comm, &status );
                        
                    /* put it in the result queue */
                    std::string s( expr_c );
                    
                    send_work( input, src, comm );
                    
                    /* Process what I have just received */
                    /* Could be given to a slave... */
                    gi::ex received = de_linearize_expression( s, symbols );
                    Tens += received;
#if DEBUG
                    results.push_back( received );
                    results_s.push_back( s );
                    receivedresults++;
#endif
                } else {
                    /* Send more work  */
                    send_work( input, src, comm );
                }                
            } else{
                std::cerr << "Wrong tag received " << status.MPI_TAG << std::endl;
            }
        }
   }

   /* Wait until everyone is done */

    running = np - 1; // all the slaves are running 
    while( running > 0 ) {

        MPI_Recv( &len, 1, MPI_UNSIGNED, MPI_ANY_SOURCE, MPI_ANY_TAG, comm, &status );
        src = status.MPI_SOURCE;

        if( len != 0 ) {
            if( len > expr_c_size ) {
                expr_c_size = len;
                if( NULL != expr_c ) free( expr_c );
                expr_c = (char*)malloc( expr_c_size ); // The \0 was added by the slave
            }

            /* Receive the result */
            MPI_Recv( expr_c, len, MPI_CHAR, src, TAG_EXPR, comm, &status );
            
            /* And send the END signal */
            send_end( src, comm );
            running--;
            
            /* Process what I have just received */
            /* Could be given to a slave... */
            /* put it in the result queue */
            std::string s( expr_c );
            gi::ex received = de_linearize_expression( s, symbols );
            Tens += received;
#if DEBUG
            results.push_back( received );
            results_s.push_back( s );
            receivedresults++;
#endif
        } else {
            send_end( src, comm );
            running--;
        }
    }
    
#if DEBUG
    std::cout << "Received " << receivedresults << " results" << std::endl;

    std::cout << "Tpara=" << Tens << ";" << std::endl;
#endif
    
    if( NULL != expr_c) free( expr_c );
    return Tens;
}

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void multiply_1level_slave( tensor3D_t& T, int size, MPI_Comm comm = MPI_COMM_WORLD ) {
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    gi::ex Tens;
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    unsigned int  a1, a2, a4;
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    //    gi::ex A;
    unsigned int len = 0;
    
    parameters_t params;
    MPI_Status status;
    char* expr_c;

    int rank;
    MPI_Comm_rank( comm, &rank );
    
    /* Ask for some work */
    
    MPI_Send( &len, 1, MPI_UNSIGNED, ROOT, TAG_PULL, comm );

    while( true ){
        /* Receive a set of parameters */
        
        MPI_Recv( &params, 1, DT_PARAMETERS, ROOT, MPI_ANY_TAG, comm, &status );
        
        if( status.MPI_TAG == TAG_WORK ){
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            a4 = params.a4;
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            a2 = params.a2;
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            a1 = params.a1;
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            Tens = one_level1_product( &T, size, a4, a2, a1 );
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            send_result( Tens );

        } else {
            if( status.MPI_TAG == TAG_END ){
                return;
            } else {
                std::cerr << "Wrong tag received on slave " << status.MPI_TAG << std::endl;
            }
        }
    }
}

/* Communication protocol:
   M -> W: always the same size, therefore unique communication
   W -> M: send an unsigned int (size of the expression), then the expression (table of chars)
*/
        
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gi::ex multiply_1level_mw( tensor3D_t& T, int size ) {  // simpler: same dimension everywhere
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    int rank;
    gi::ex Tens = 0;
    MPI_Comm_rank( MPI_COMM_WORLD, &rank );

    /* Create a new datatype for the parameters */
    
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    create_parameters_datatype();
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    /* Here we go */
    
    if( 0 == rank ) {
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        Tens = multiply_1level_master( T, size );
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    } else {
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        multiply_1level_slave( T, size );
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    }

    /* Finalize */
    
    free_parameters_dt();
    return Tens;
}