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InitializeComputationalEnvironment.m

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  • Forked from Dynare / dynare
    13925 commits behind the upstream repository.
    InitializeComputationalEnvironment.m 2.78 KiB
    function InitializeComputationalEnvironment()
    
    % PARALLEL CONTEXT
    % In a parallel context, this function is used to Initialize the computational enviroment according with
    % the user request.
    %
    % INPUTS
    % o DataInput      []   ...
    %
    % OUTPUTS
    % None
    %
    % Copyright (C) 2009-2011 Dynare Team
    %
    % This file is part of Dynare.
    %
    % Dynare is free software: you can redistribute it and/or modify
    % it under the terms of the GNU General Public License as published by
    % the Free Software Foundation, either version 3 of the License, or
    % (at your option) any later version.
    %
    % Dynare 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 General Public License for more details.
    %
    % You should have received a copy of the GNU General Public License
    % along with Dynare.  If not, see <http://www.gnu.org/licenses/>.
    
    
    % This is simple and check!
    % The default value for the new field MatlabOctavePath now is 'matlab' or
    % 'octave'. Then if the field is empty it is necessary to fill it with the
    % default value.
    
    % Deactivate some 'Parallel/Warning' message in Octave!
    % Comment the line 'warning('off');' in order to view the warning message
    % in Octave!
    
    if exist('OCTAVE_VERSION'), 
        warning('off');
    end
    
    
    
    global options_
    
    for j=1:length(options_.parallel),
        if isempty(options_.parallel(j).MatlabOctavePath),
            if exist('OCTAVE_VERSION')
                options_.parallel(j).MatlabOctavePath = 'octave';
            else
                options_.parallel(j).MatlabOctavePath = 'matlab';
            end
        end
        if options_.parallel(j).Local && isempty(options_.parallel(j).DynarePath),
            dynareroot = strrep(which('dynare'),'dynare.m','');
            options_.parallel(j).DynarePath=dynareroot;
        end
    end
    
    
    
    
    % Invoke masterParallel with 8 arguments and the last equal to 1. With this shape
    % for input data, masterParallel only create a new directory for remote
    % computation. The name of this directory is time depending. For local
    % parallel computations with Strategy == 1 delete the traces (if exists) of
    % previous computations.
    
    delete(['P_slave_*End.txt']);
    masterParallel(options_.parallel,[],[],[],[],[],[],options_.parallel_info,1);
    
    
    %  We sort in the user CPUWeight and most important the Parallel vector
    %  in accord with this operation.
    
    lP=length(options_.parallel);
    for j=1:lP
        CPUWeight(j)=str2num(options_.parallel(j).NodeWeight);
    end
    
    NewPosition=ones(1,lP)*(-1);
    CPUWeightTemp=ones(1,lP)*(-1);
    
    CPUWeightTemp=CPUWeight;
    
    for i=1:lP
        [NoNServes mP]=max(CPUWeightTemp);
        NewPosition(i)=mP;
        CPUWeightTemp(mP)=-1;
    end
    
    CPUWeight=sort(CPUWeight,'descend');
    
    
    for i=1:lP
        ParallelTemp(i)=options_.parallel(NewPosition(i));
    end
    
    Parallel=[];
    options_.parallel=ParallelTemp;
    
    return