53 lines
2.0 KiB
Matlab
53 lines
2.0 KiB
Matlab
function [nCPU, totCPU, nBlockPerCPU] = distributeJobs(Parallel, fBlock, nBlock)
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% PARALLEL CONTEXT
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% In parallel context this function is used to determine the total number of available CPUs,
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% and the number of threads to run on each CPU.
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%
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% INPUTS
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% o Parallel [struct vector] copy of options_.parallel
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% o fBlock [int] index number of the first thread
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% (between 1 and nBlock)
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% o nBlock [int] index number of the last thread.
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%
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% OUTPUT
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% o nBlockPerCPU [int vector] for each CPU used, indicates the number of
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% threads run on that CPU
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% o totCPU [int] total number of CPU used (can be lower than
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% the number of CPU declared in "Parallel", if
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% the number of required threads is lower)
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% o nCPU he number of CPU in user format.
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% Copyright (C) 2010 Dynare Team
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%
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% This file is part of Dynare.
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%
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% Dynare is free software: you can redistribute it and/or modify
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% it under the terms of the GNU General Public License as published by
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% the Free Software Foundation, either version 3 of the License, or
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% (at your option) any later version.
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%
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% Dynare is distributed in the hope that it will be useful,
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% but WITHOUT ANY WARRANTY; without even the implied warranty of
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% MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
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% GNU General Public License for more details.
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%
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% You should have received a copy of the GNU General Public License
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% along with Dynare. If not, see <http://www.gnu.org/licenses/>.
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totCPU=0;
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for j=1:length(Parallel),
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nCPU(j)=length(Parallel(j).NumCPU);
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totCPU=totCPU+nCPU(j);
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end
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nCPU=cumsum(nCPU);
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offset0 = fBlock-1;
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if (nBlock-offset0)>totCPU,
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diff = mod((nBlock-offset0),totCPU);
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nBlockPerCPU(1:diff) = ceil((nBlock-offset0)/totCPU);
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nBlockPerCPU(diff+1:totCPU) = floor((nBlock-offset0)/totCPU);
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else
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nBlockPerCPU(1:nBlock-offset0)=1;
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totCPU = nBlock-offset0;
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end
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