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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) 2009-2013 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 isoctave
warning('off');
end
global options_
isHybridMatlabOctave = false;
for j=1:length(options_.parallel),
if isempty(options_.parallel(j).MatlabOctavePath),
if isoctave
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
isHybridMatlabOctave = isHybridMatlabOctave || any(regexpi([options_.parallel(j).MatlabOctavePath], 'octave'));
end
isHybridMatlabOctave = isHybridMatlabOctave && ~isoctave;
options_.parallel_info.isHybridMatlabOctave = isHybridMatlabOctave;
if isHybridMatlabOctave,
% Reset dynare random generator and seed.
set_dynare_seed('default');
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
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