932 lines
42 KiB
Matlab
932 lines
42 KiB
Matlab
function [fOutVar,nBlockPerCPU, totCPU] = masterParallel(Parallel,fBlock,nBlock,NamFileInput,fname,fInputVar,fGlobalVar,Parallel_info,initialize)
|
|
% PARALLEL CONTEXT
|
|
% This is the most important function for the management of DYNARE parallel
|
|
% computing.
|
|
% It is the top-level function called on the master computer when parallelizing a task.
|
|
%
|
|
% This function has two main computational strategies for managing the
|
|
% matlab worker (slave process):
|
|
%
|
|
% 0 Simple Close/Open Stategy:
|
|
% In this case the new Matlab instances (slave process) are open when
|
|
% necessary and then closed. This can happen many times during the
|
|
% simulation of a model.
|
|
%
|
|
% 1 Always Open Strategy:
|
|
% In this case we have a more sophisticated management of slave processes,
|
|
% which are no longer closed at the end of each job. The slave processes
|
|
% wait for a new job (if it exists). If a slave does not receive a new job after a
|
|
% fixed time it is destroyed. This solution removes the computational
|
|
% time necessary to Open/Close new Matlab instances.
|
|
%
|
|
% The first (point 0) is the default Strategy
|
|
% i.e.(Parallel_info.leaveSlaveOpen=0). This value can be changed by the
|
|
% user in xxx.mod file or it is changed by the programmer if it is necessary to
|
|
% reduce the overall computational time. See for example the
|
|
% prior_posterior_statistics.m.
|
|
%
|
|
% The number of parallelized threads will be equal to (nBlock-fBlock+1).
|
|
%
|
|
% Treatment of global variables:
|
|
% Global variables used within the called function are wrapped and passed by storing their
|
|
% values at the start of the parallel computation in a file via
|
|
% storeGlobalVars.m. This file is then loaded in the separate,
|
|
% independent slave Matlab sessions. By keeping them separate, no
|
|
% interaction via global variables can take place.
|
|
%
|
|
% INPUTS
|
|
% o Parallel [struct vector] copy of options_.parallel
|
|
% o fBlock [int] index number of the first thread
|
|
% (between 1 and nBlock)
|
|
% o nBlock [int] index number of the last thread
|
|
% o NamFileInput [cell array] contains the list of input files to be
|
|
% copied in the working directory of remote slaves
|
|
% 2 columns, as many lines as there are files
|
|
% - first column contains directory paths
|
|
% - second column contains filenames
|
|
% o fname [string] name of the function to be parallelized, and
|
|
% which will be run on the slaves
|
|
% o fInputVar [struct] structure containing local variables to be used
|
|
% by fName on the slaves
|
|
% o fGlobalVar [struct] structure containing global variables to be used
|
|
% by fName on the slaves
|
|
% o Parallel_info []
|
|
% o initialize []
|
|
%
|
|
% OUTPUT
|
|
% o fOutVar [struct vector] result of the parallel computation, one
|
|
% struct per thread
|
|
% o nBlockPerCPU [int vector] for each CPU used, indicates the number of
|
|
% threads run on that CPU
|
|
% o totCPU [int] total number of CPUs used (can be lower than
|
|
% the number of CPUs declared in "Parallel", if
|
|
% the number of required threads is lower)
|
|
|
|
% Copyright © 2009-2017 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 <https://www.gnu.org/licenses/>.
|
|
|
|
|
|
% If islocal==0, create a new directory for remote computation.
|
|
% This directory is named using current data and time,
|
|
% is used only one time and then deleted.
|
|
|
|
persistent PRCDir
|
|
% PRCDir = Present Remote Computational Directory!
|
|
|
|
Strategy=Parallel_info.leaveSlaveOpen;
|
|
|
|
islocal = 1;
|
|
isHybridMatlabOctave = Parallel_info.isHybridMatlabOctave;
|
|
for j=1:length(Parallel)
|
|
islocal=islocal*Parallel(j).Local;
|
|
end
|
|
if nargin>8 && initialize==1
|
|
if islocal == 0
|
|
PRCDir=CreateTimeString();
|
|
assignin('base','PRCDirTmp',PRCDir),
|
|
evalin('base','options_.parallel_info.RemoteTmpFolder=PRCDirTmp;')
|
|
evalin('base','clear PRCDirTmp,')
|
|
else
|
|
% Delete the traces (if existing) of last local session of computations.
|
|
mydelete('slaveParallel_input*.mat');
|
|
end
|
|
return
|
|
end
|
|
|
|
% Determine the total number of available CPUs, and the number of threads
|
|
% to run on each CPU.
|
|
|
|
[nCPU, totCPU, nBlockPerCPU, totSlaves] = distributeJobs(Parallel, fBlock, nBlock);
|
|
|
|
parallel_recover = 0;
|
|
|
|
if isfield(Parallel_info,'parallel_recover') && Parallel_info.parallel_recover
|
|
parallel_recover = 1;
|
|
end
|
|
|
|
if parallel_recover ==0
|
|
if isfield(Parallel_info,'local_files')
|
|
if isempty(NamFileInput)
|
|
NamFileInput=Parallel_info.local_files;
|
|
else
|
|
NamFileInput=[NamFileInput;Parallel_info.local_files];
|
|
end
|
|
end
|
|
|
|
% Deactivate some 'Parallel/Warning' messages in Octave!
|
|
% Comment the line 'warning('off');' in order to view the warning messages
|
|
% in Octave!
|
|
|
|
if isoctave
|
|
warning('off')
|
|
end
|
|
|
|
% check if there are function_handles in the input or global vars when
|
|
% octave is used
|
|
if isHybridMatlabOctave || isoctave
|
|
fInputNames = fieldnames(fInputVar);
|
|
for j=1:length(fInputNames)
|
|
TargetVar = fInputVar.(fInputNames{j});
|
|
if isa(TargetVar,'function_handle')
|
|
TargetVar=func2str(TargetVar);
|
|
fInputVar.(fInputNames{j})=TargetVar;
|
|
end
|
|
end
|
|
|
|
if exist('fGlobalVar','var') && ~isempty(fGlobalVar)
|
|
fInputNames = fieldnames(fGlobalVar);
|
|
for j=1:length(fInputNames)
|
|
TargetVar = fGlobalVar.(fInputNames{j});
|
|
if isa(TargetVar,'function_handle')
|
|
TargetVar=func2str(TargetVar);
|
|
fGlobalVar.(fInputNames{j})=TargetVar;
|
|
end
|
|
end
|
|
end
|
|
end
|
|
|
|
% if Strategy==1
|
|
% totCPU=0;
|
|
% end
|
|
|
|
|
|
% Determine my hostname and my working directory.
|
|
|
|
DyMo=pwd;
|
|
% fInputVar.DyMo=DyMo;
|
|
if ispc
|
|
[~, MasterName]=system('hostname');
|
|
MasterName=deblank(MasterName);
|
|
end
|
|
% fInputVar.MasterName = MasterName;
|
|
|
|
|
|
% Save input data for use by the slaves.
|
|
switch Strategy
|
|
case 0
|
|
storeGlobalVars([fname,'_input.mat']);
|
|
save([fname,'_input.mat'],'fInputVar','Parallel','-append')
|
|
|
|
case 1
|
|
if exist('fGlobalVar','var')
|
|
save('temp_input.mat','fInputVar','fGlobalVar')
|
|
else
|
|
save('temp_input.mat','fInputVar')
|
|
end
|
|
save('temp_input.mat','Parallel','-append')
|
|
closeSlave(Parallel,PRCDir,-1);
|
|
end
|
|
|
|
for j=1:totSlaves
|
|
PRCDirSnapshot{j}={};
|
|
end
|
|
offset0 = fBlock-1;
|
|
|
|
% Clean up remnants of previous runs.
|
|
mydelete(['comp_status_',fname,'*.mat']);
|
|
mydelete(['P_',fname,'*End.txt']);
|
|
mydelete([fname,'_output_*.mat']);
|
|
mydelete('slaveParallel_break.mat');
|
|
|
|
dynareParallelDelete([fname,'_output_*.mat'],PRCDir,Parallel);
|
|
dynareParallelDelete(['comp_status_',fname,'*.mat'],PRCDir,Parallel);
|
|
dynareParallelDelete('slaveParallel_break.mat',PRCDir,Parallel);
|
|
|
|
|
|
% Create a shell script containing the commands to launch the required
|
|
% tasks on the slaves.
|
|
fid = fopen('ConcurrentCommand1.bat','w+');
|
|
|
|
|
|
% Create the directory devoted to remote computation.
|
|
if isempty(PRCDir) && ~islocal
|
|
error('PRCDir not initialized!')
|
|
else
|
|
dynareParallelMkDir(PRCDir,Parallel(1:totSlaves));
|
|
end
|
|
|
|
% Testing Zone
|
|
|
|
% 1. Display the User Strategy:
|
|
|
|
% if Strategy==0
|
|
% disp('User Strategy Now Is Open/Close (0)');
|
|
% else
|
|
% disp('User Strategy Now Is Always Open (1)');
|
|
% end
|
|
|
|
|
|
% 2. Display the output of 'NEW' distributeJobs.m:
|
|
%
|
|
% fBlock
|
|
% nBlock
|
|
%
|
|
%
|
|
% nCPU
|
|
% totCPU
|
|
% nBlockPerCPU
|
|
% totSlaves
|
|
%
|
|
% keyboard
|
|
|
|
% End
|
|
|
|
for j=1:totCPU
|
|
|
|
if Strategy==1
|
|
command1 = ' ';
|
|
end
|
|
|
|
indPC=min(find(nCPU>=j));
|
|
|
|
% According to the information contained in configuration file, compThread can limit MATLAB
|
|
% to a single computational thread. By default, MATLAB makes use of the multithreading
|
|
% capabilities of the computer on which it is running. Nevertheless
|
|
% exsperimental results show as matlab native
|
|
% multithreading limit the performaces when the parallel computing is active.
|
|
|
|
|
|
if strcmp('true',Parallel(indPC).SingleCompThread)
|
|
compThread = '-singleCompThread';
|
|
else
|
|
compThread = '';
|
|
end
|
|
|
|
nthreads=Parallel(indPC).NumberOfThreadsPerJob;
|
|
if indPC>1
|
|
nCPU0 = nCPU(indPC-1);
|
|
else
|
|
nCPU0=0;
|
|
end
|
|
offset = sum(nBlockPerCPU(1:j-1))+offset0;
|
|
|
|
% Create a file used to monitoring if a parallel block (core)
|
|
% computation is finished or not.
|
|
|
|
fid1=fopen(['P_',fname,'_',int2str(j),'End.txt'],'w+');
|
|
fclose(fid1);
|
|
|
|
if Strategy==1
|
|
|
|
fblck = offset+1;
|
|
nblck = sum(nBlockPerCPU(1:j));
|
|
save temp_input.mat fblck nblck fname -append;
|
|
copyfile('temp_input.mat',['slaveJob',int2str(j),'.mat']);
|
|
if Parallel(indPC).Local ==0
|
|
fid1=fopen(['stayalive',int2str(j),'.txt'],'w+');
|
|
fclose(fid1);
|
|
dynareParallelSendFiles(['stayalive',int2str(j),'.txt'],PRCDir,Parallel(indPC));
|
|
mydelete(['stayalive',int2str(j),'.txt']);
|
|
end
|
|
% Wait for possibly local alive CPU to start the new job or close by
|
|
% internal criteria.
|
|
pause(1);
|
|
newInstance = 0;
|
|
|
|
% Check if j CPU is already alive.
|
|
if isempty(dynareParallelDir(['P_slave_',int2str(j),'End.txt'],PRCDir,Parallel(indPC)))
|
|
fid1=fopen(['P_slave_',int2str(j),'End.txt'],'w+');
|
|
fclose(fid1);
|
|
if Parallel(indPC).Local==0
|
|
dynareParallelSendFiles(['P_slave_',int2str(j),'End.txt'],PRCDir,Parallel(indPC));
|
|
delete(['P_slave_',int2str(j),'End.txt']);
|
|
end
|
|
|
|
newInstance = 1;
|
|
storeGlobalVars( ['slaveParallel_input',int2str(j),'.mat']);
|
|
save( ['slaveParallel_input',int2str(j),'.mat'],'Parallel','-append');
|
|
% Prepare global vars for Slave.
|
|
end
|
|
else
|
|
|
|
% If the computation is executed remotely all the necessary files
|
|
% are created localy, then copied in remote directory and then
|
|
% deleted (loacal)!
|
|
|
|
save( ['slaveParallel_input',int2str(j),'.mat'],'j');
|
|
|
|
if Parallel(indPC).Local==0
|
|
dynareParallelSendFiles(['P_',fname,'_',int2str(j),'End.txt'],PRCDir,Parallel(indPC));
|
|
delete(['P_',fname,'_',int2str(j),'End.txt']);
|
|
|
|
dynareParallelSendFiles(['slaveParallel_input',int2str(j),'.mat'],PRCDir,Parallel(indPC));
|
|
delete(['slaveParallel_input',int2str(j),'.mat']);
|
|
|
|
end
|
|
|
|
end
|
|
|
|
% set affinity range on win CPU's
|
|
affinity_range = [1:nthreads]+(j-1-nCPU0)*nthreads;
|
|
my_affinity = int2str(Parallel(indPC).CPUnbr(affinity_range(1)));
|
|
for jaff=2:length(affinity_range)
|
|
my_affinity = [my_affinity ',' int2str(Parallel(indPC).CPUnbr(affinity_range(jaff)))];
|
|
end
|
|
% % % int2str(Parallel(indPC).CPUnbr(j-nCPU0))
|
|
% DA SINTETIZZARE:
|
|
|
|
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
|
|
% The following 'switch - case' code is the core of this function!
|
|
switch Strategy
|
|
case 0
|
|
|
|
if Parallel(indPC).Local == 1 % 0.1 Run on the local machine (localhost).
|
|
|
|
if ~ispc || strcmpi('unix',Parallel(indPC).OperatingSystem) % Hybrid computing Windows <-> Unix!
|
|
if regexpi([Parallel(indPC).MatlabOctavePath], 'octave') % Hybrid computing Matlab(Master)->Octave(Slaves) and Vice Versa!
|
|
command1=[Parallel(indPC).MatlabOctavePath,' -f --eval "default_save_options(''-v7''); addpath(''',Parallel(indPC).DynarePath,'''), dynareroot = dynare_config(); fParallel(',int2str(offset+1),',',int2str(sum(nBlockPerCPU(1:j))),',',int2str(j),',',int2str(indPC),',''',fname,''')" &'];
|
|
else
|
|
command1=[Parallel(indPC).MatlabOctavePath,' -nosplash -nodesktop -minimize ',compThread,' -r "addpath(''',Parallel(indPC).DynarePath,'''), dynareroot = dynare_config(); fParallel(',int2str(offset+1),',',int2str(sum(nBlockPerCPU(1:j))),',',int2str(j),',',int2str(indPC),',''',fname,''')" &'];
|
|
end
|
|
else % Hybrid computing Matlab(Master)->Octave(Slaves) and Vice Versa!
|
|
if Parallel_info.use_psexec
|
|
token1 = ['psexec -accepteula -d -W "',DyMo, '" -a ',my_affinity,' -low '];
|
|
else
|
|
itmp = intmin('uint64');
|
|
cpus = eval([ '[' my_affinity ']' ])+1;
|
|
for icpu=1:length(cpus)
|
|
itmp = bitset(itmp,cpus(icpu));
|
|
end
|
|
hex_affinity = dec2hex(itmp);
|
|
token1 = ['start "" /B /D "',DyMo, '" /affinity ',hex_affinity,' /LOW '];
|
|
end
|
|
if regexpi([Parallel(indPC).MatlabOctavePath], 'octave')
|
|
command1=[token1,Parallel(indPC).MatlabOctavePath,' -f --eval "default_save_options(''-v7''); addpath(''',Parallel(indPC).DynarePath,'''), dynareroot = dynare_config(); fParallel(',int2str(offset+1),',',int2str(sum(nBlockPerCPU(1:j))),',',int2str(j),',',int2str(indPC),',''',fname,''')"'];
|
|
else
|
|
command1=[token1,Parallel(indPC).MatlabOctavePath,' -nosplash -nodesktop -minimize ',compThread,' -r "addpath(''',Parallel(indPC).DynarePath,'''), dynareroot = dynare_config(); fParallel(',int2str(offset+1),',',int2str(sum(nBlockPerCPU(1:j))),',',int2str(j),',',int2str(indPC),',''',fname,''')"'];
|
|
end
|
|
end
|
|
else % 0.2 Parallel(indPC).Local==0: Run using network on remote machine or also on local machine.
|
|
if j==nCPU0+1
|
|
dynareParallelSendFiles([fname,'_input.mat'],PRCDir,Parallel(indPC));
|
|
dynareParallelSendFiles(NamFileInput,PRCDir,Parallel(indPC));
|
|
end
|
|
|
|
if (~ispc || strcmpi('unix',Parallel(indPC).OperatingSystem)) % Hybrid computing Windows <-> Unix!
|
|
if ispc
|
|
token='start "" /B ';
|
|
else
|
|
token = '';
|
|
end
|
|
if ~isempty(Parallel(indPC).Port)
|
|
ssh_token = ['-p ',Parallel(indPC).Port];
|
|
else
|
|
ssh_token = '';
|
|
end
|
|
% To manage the diferences in Unix/Windows OS syntax.
|
|
remoteFile=['remoteDynare',int2str(j)];
|
|
fidRemote=fopen([remoteFile,'.m'],'w+');
|
|
if regexpi([Parallel(indPC).MatlabOctavePath], 'octave') % Hybrid computing Matlab(Master)->Octave(Slaves) and Vice Versa!
|
|
remoteString=['default_save_options(''-v7''); addpath(''',Parallel(indPC).DynarePath,'''), dynareroot = dynare_config(); fParallel(',int2str(offset+1),',',int2str(sum(nBlockPerCPU(1:j))),',',int2str(j),',',int2str(indPC),',''',fname,''')'];
|
|
command1=[token, 'ssh ',ssh_token,' ',Parallel(indPC).UserName,'@',Parallel(indPC).ComputerName,' "cd ',Parallel(indPC).RemoteDirectory,'/',PRCDir, '; ',Parallel(indPC).MatlabOctavePath,' -f --eval ',remoteFile,' " &'];
|
|
else
|
|
remoteString=['addpath(''',Parallel(indPC).DynarePath,'''), dynareroot = dynare_config(); fParallel(',int2str(offset+1),',',int2str(sum(nBlockPerCPU(1:j))),',',int2str(j),',',int2str(indPC),',''',fname,''')'];
|
|
command1=[token, 'ssh ',ssh_token,' ',Parallel(indPC).UserName,'@',Parallel(indPC).ComputerName,' "cd ',Parallel(indPC).RemoteDirectory,'/',PRCDir, '; ',Parallel(indPC).MatlabOctavePath,' -nosplash -nodesktop -minimize ',compThread,' -r ',remoteFile,';" &'];
|
|
end
|
|
fprintf(fidRemote,'%s\n',remoteString);
|
|
fclose(fidRemote);
|
|
dynareParallelSendFiles([remoteFile,'.m'],PRCDir,Parallel(indPC));
|
|
delete([remoteFile,'.m']);
|
|
else
|
|
if ~strcmpi(Parallel(indPC).ComputerName,MasterName) % 0.3 Run on a remote machine!
|
|
% Hybrid computing Matlab(Master)-> Octave(Slaves) and Vice Versa!
|
|
if regexpi([Parallel(indPC).MatlabOctavePath], 'octave')
|
|
command1=['psexec \\',Parallel(indPC).ComputerName,' -accepteula -d -e -u ',Parallel(indPC).UserName,' -p ',Parallel(indPC).Password,' -W "',Parallel(indPC).RemoteDrive,':\',Parallel(indPC).RemoteDirectory,'\',PRCDir,'\" -a ',my_affinity, ...
|
|
' -low ',Parallel(indPC).MatlabOctavePath,' -f --eval "default_save_options(''-v7''); addpath(''',Parallel(indPC).DynarePath,'''), dynareroot = dynare_config(); fParallel(',int2str(offset+1),',',int2str(sum(nBlockPerCPU(1:j))),',',int2str(j),',',int2str(indPC),',''',fname,''')"'];
|
|
else
|
|
|
|
command1=['psexec \\',Parallel(indPC).ComputerName,' -accepteula -d -e -u ',Parallel(indPC).UserName,' -p ',Parallel(indPC).Password,' -W "',Parallel(indPC).RemoteDrive,':\',Parallel(indPC).RemoteDirectory,'\',PRCDir,'\" -a ',my_affinity, ...
|
|
' -low ',Parallel(indPC).MatlabOctavePath,' -nosplash -nodesktop -minimize ',compThread,' -r "addpath(''',Parallel(indPC).DynarePath,'''), dynareroot = dynare_config(); fParallel(',int2str(offset+1),',',int2str(sum(nBlockPerCPU(1:j))),',',int2str(j),',',int2str(indPC),',''',fname,''')"'];
|
|
end
|
|
else % 0.4 Run on the local machine via the network
|
|
% Hybrid computing Matlab(Master)->Octave(Slaves) and Vice Versa!
|
|
if regexpi([Parallel(indPC).MatlabOctavePath], 'octave')
|
|
command1=['psexec \\',Parallel(indPC).ComputerName,' -accepteula -d -e -W "',Parallel(indPC).RemoteDrive,':\',Parallel(indPC).RemoteDirectory,'\',PRCDir,'\" -a ',my_affinity, ...
|
|
' -low ',Parallel(indPC).MatlabOctavePath,' -f --eval "default_save_options(''-v7''); addpath(''',Parallel(indPC).DynarePath,'''), dynareroot = dynare_config(); fParallel(',int2str(offset+1),',',int2str(sum(nBlockPerCPU(1:j))),',',int2str(j),',',int2str(indPC),',''',fname,''')"'];
|
|
else
|
|
command1=['psexec \\',Parallel(indPC).ComputerName,' -accepteula -d -e -W "',Parallel(indPC).RemoteDrive,':\',Parallel(indPC).RemoteDirectory,'\',PRCDir,'\" -a ',my_affinity, ...
|
|
' -low ',Parallel(indPC).MatlabOctavePath,' -nosplash -nodesktop -minimize ',compThread,' -r "addpath(''',Parallel(indPC).DynarePath,'''), dynareroot = dynare_config(); fParallel(',int2str(offset+1),',',int2str(sum(nBlockPerCPU(1:j))),',',int2str(j),',',int2str(indPC),',''',fname,''')"'];
|
|
end
|
|
end
|
|
end
|
|
end
|
|
|
|
|
|
case 1
|
|
if Parallel(indPC).Local == 1 && newInstance % 1.1 Run on the local machine.
|
|
if (~ispc || strcmpi('unix',Parallel(indPC).OperatingSystem)) % Hybrid computing Windows <-> Unix!
|
|
if regexpi([Parallel(indPC).MatlabOctavePath], 'octave') % Hybrid computing Matlab(Master)-> Octave(Slaves) and Vice Versa!
|
|
command1=[Parallel(indPC).MatlabOctavePath,' -f --eval "default_save_options(''-v7''); addpath(''',Parallel(indPC).DynarePath,'''), dynareroot = dynare_config(); slaveParallel(',int2str(j),',',int2str(indPC),')" &'];
|
|
else
|
|
command1=[Parallel(indPC).MatlabOctavePath,' -nosplash -nodesktop -minimize ',compThread,' -r "addpath(''',Parallel(indPC).DynarePath,'''), dynareroot = dynare_config(); slaveParallel(',int2str(j),',',int2str(indPC),')" &'];
|
|
end
|
|
else % Hybrid computing Matlab(Master)->Octave(Slaves) and Vice Versa!
|
|
if Parallel_info.use_psexec
|
|
token1 = ['psexec -accepteula -d -W "',DyMo, '" -a ',my_affinity,' -low '];
|
|
else
|
|
itmp = intmin('uint64');
|
|
cpus = eval([ '[' my_affinity ']' ])+1;
|
|
for icpu=1:length(cpus)
|
|
itmp = bitset(itmp,cpus(icpu));
|
|
end
|
|
hex_affinity = dec2hex(itmp);
|
|
token1 = ['start "" /B /D "',DyMo, '" /affinity ',hex_affinity,' /LOW '];
|
|
end
|
|
if regexpi([Parallel(indPC).MatlabOctavePath], 'octave')
|
|
command1=[token1,Parallel(indPC).MatlabOctavePath,' -f --eval "default_save_options(''-v7'');addpath(''',Parallel(indPC).DynarePath,'''), dynareroot = dynare_config(); slaveParallel(',int2str(j),',',int2str(indPC),')"'];
|
|
else
|
|
command1=[token1,Parallel(indPC).MatlabOctavePath,' -nosplash -nodesktop -minimize ',compThread,' -r "addpath(''',Parallel(indPC).DynarePath,'''), dynareroot = dynare_config(); slaveParallel(',int2str(j),',',int2str(indPC),')"'];
|
|
end
|
|
end
|
|
elseif Parallel(indPC).Local==0 % 1.2 Run using network on remote machine or also on local machine.
|
|
if j==nCPU0+1
|
|
dynareParallelSendFiles(NamFileInput,PRCDir,Parallel(indPC));
|
|
end
|
|
dynareParallelSendFiles(['P_',fname,'_',int2str(j),'End.txt'],PRCDir,Parallel(indPC));
|
|
delete(['P_',fname,'_',int2str(j),'End.txt']);
|
|
if newInstance
|
|
dynareParallelSendFiles(['slaveJob',int2str(j),'.mat'],PRCDir,Parallel(indPC));
|
|
delete(['slaveJob',int2str(j),'.mat']);
|
|
dynareParallelSendFiles(['slaveParallel_input',int2str(j),'.mat'],PRCDir,Parallel(indPC))
|
|
if (~ispc || strcmpi('unix',Parallel(indPC).OperatingSystem)) % Hybrid computing Windows <-> Unix!
|
|
if ispc
|
|
token='start "" /B ';
|
|
else
|
|
token = '';
|
|
end
|
|
if ~isempty(Parallel(indPC).Port)
|
|
ssh_token = ['-p ',Parallel(indPC).Port];
|
|
else
|
|
ssh_token = '';
|
|
end
|
|
% To manage the diferences in Unix/Windows OS syntax.
|
|
remoteFile=['remoteDynare',int2str(j)];
|
|
fidRemote=fopen([remoteFile,'.m'],'w+');
|
|
if regexpi([Parallel(indPC).MatlabOctavePath], 'octave') % Hybrid computing Matlab(Master)-> Octave(Slaves) and Vice Versa!
|
|
remoteString=['default_save_options(''-v7''); addpath(''',Parallel(indPC).DynarePath,'''), dynareroot = dynare_config(); slaveParallel(',int2str(j),',',int2str(indPC),');'];
|
|
command1=[token, 'ssh ',ssh_token,' ',Parallel(indPC).UserName,'@',Parallel(indPC).ComputerName,' "cd ',Parallel(indPC).RemoteDirectory,'/',PRCDir '; ',Parallel(indPC).MatlabOctavePath,' -f --eval ',remoteFile,' " &'];
|
|
else
|
|
remoteString=['addpath(''',Parallel(indPC).DynarePath,'''), dynareroot = dynare_config(); slaveParallel(',int2str(j),',',int2str(indPC),');'];
|
|
command1=[token, 'ssh ',ssh_token,' ',Parallel(indPC).UserName,'@',Parallel(indPC).ComputerName,' "cd ',Parallel(indPC).RemoteDirectory,'/',PRCDir '; ',Parallel(indPC).MatlabOctavePath,' -nosplash -nodesktop -minimize ',compThread,' -r ',remoteFile,';" &'];
|
|
end
|
|
fprintf(fidRemote,'%s\n',remoteString);
|
|
fclose(fidRemote);
|
|
dynareParallelSendFiles([remoteFile,'.m'],PRCDir,Parallel(indPC));
|
|
delete([remoteFile,'.m']);
|
|
else
|
|
if ~strcmpi(Parallel(indPC).ComputerName,MasterName) % 1.3 Run on a remote machine.
|
|
% Hybrid computing Matlab(Master)->Octave(Slaves) and Vice Versa!
|
|
if regexpi([Parallel(indPC).MatlabOctavePath], 'octave')
|
|
command1=['psexec \\',Parallel(indPC).ComputerName,' -accepteula -d -e -u ',Parallel(indPC).UserName,' -p ',Parallel(indPC).Password,' -W "',Parallel(indPC).RemoteDrive,':\',Parallel(indPC).RemoteDirectory,'\',PRCDir,'\" -a ',my_affinity, ...
|
|
' -low ',Parallel(indPC).MatlabOctavePath,' -f --eval "default_save_options(''-v7'');addpath(''',Parallel(indPC).DynarePath,'''), dynareroot = dynare_config(); slaveParallel(',int2str(j),',',int2str(indPC),')"'];
|
|
else
|
|
command1=['psexec \\',Parallel(indPC).ComputerName,' -accepteula -d -e -u ',Parallel(indPC).UserName,' -p ',Parallel(indPC).Password,' -W "',Parallel(indPC).RemoteDrive,':\',Parallel(indPC).RemoteDirectory,'\',PRCDir,'\" -a ',my_affinity, ...
|
|
' -low ',Parallel(indPC).MatlabOctavePath,' -nosplash -nodesktop -minimize ',compThread,' -r "addpath(''',Parallel(indPC).DynarePath,'''), dynareroot = dynare_config(); slaveParallel(',int2str(j),',',int2str(indPC),')"'];
|
|
end
|
|
else % 1.4 Run on the local machine via the network.
|
|
% Hybrid computing Matlab(Master)->Octave(Slaves) and Vice Versa!
|
|
if regexpi([Parallel(indPC).MatlabOctavePath], 'octave')
|
|
command1=['psexec \\',Parallel(indPC).ComputerName,' -accepteula -d -e -W "',Parallel(indPC).RemoteDrive,':\',Parallel(indPC).RemoteDirectory,'\',PRCDir,'\" -a ',my_affinity, ...
|
|
' -low ',Parallel(indPC).MatlabOctavePath,' -f --eval "default_save_options(''-v7''); addpath(''',Parallel(indPC).DynarePath,'''), dynareroot = dynare_config(); slaveParallel(',int2str(j),',',int2str(indPC),')"'];
|
|
else
|
|
command1=['psexec \\',Parallel(indPC).ComputerName,' -accepteula -d -e -W "',Parallel(indPC).RemoteDrive,':\',Parallel(indPC).RemoteDirectory,'\',PRCDir,'\" -a ',my_affinity, ...
|
|
' -low ',Parallel(indPC).MatlabOctavePath,' -nosplash -nodesktop -minimize ',compThread,' -r "addpath(''',Parallel(indPC).DynarePath,'''), dynareroot = dynare_config(); slaveParallel(',int2str(j),',',int2str(indPC),')"'];
|
|
end
|
|
end
|
|
end
|
|
else
|
|
% When the user user strategy is equal to 1, you must
|
|
% do PRCDirSnapshot here to to avoid problems of
|
|
% synchronization.
|
|
|
|
if isempty(PRCDirSnapshot{indPC})
|
|
PRCDirSnapshot(indPC)=dynareParallelSnapshot(PRCDir,Parallel(indPC));
|
|
PRCDirSnapshotInit(indPC) = PRCDirSnapshot(indPC);
|
|
else
|
|
PRCDirSnapshot(indPC)=dynareParallelGetNewFiles(PRCDir,Parallel(indPC),PRCDirSnapshot(indPC));
|
|
end
|
|
dynareParallelSendFiles(['slaveJob',int2str(j),'.mat'],PRCDir,Parallel(indPC));
|
|
delete(['slaveJob',int2str(j),'.mat']);
|
|
|
|
end
|
|
end
|
|
|
|
end
|
|
|
|
fprintf(fid,'%s\n',command1);
|
|
|
|
end
|
|
|
|
% In This way we are sure that the file 'ConcurrentCommand1.bat' is
|
|
% closed and then it can be deleted!
|
|
while (1)
|
|
StatusOfCC1_bat = fclose(fid);
|
|
if StatusOfCC1_bat==0
|
|
break
|
|
end
|
|
end
|
|
% Snapshot of the contents of all the directories involved in parallel
|
|
% computing. This is necessary when I want to copy continuously the files produced by
|
|
% the slaves ...
|
|
% If the compuation is 'Local' it is not necessary to do it ...
|
|
|
|
if Strategy==0 || newInstance % See above.
|
|
PRCDirSnapshot=dynareParallelSnapshot(PRCDir,Parallel(1:totSlaves));
|
|
PRCDirSnapshotInit = PRCDirSnapshot;
|
|
|
|
% Run the slaves.
|
|
if ~ispc
|
|
system('sh ConcurrentCommand1.bat &');
|
|
pause(1)
|
|
else
|
|
|
|
if isoctave
|
|
% Redirect the standard output to the file 'OctaveStandardOutputMessage.txt'!
|
|
% This file is saved in the Model directory.
|
|
system('ConcurrentCommand1.bat > OctaveStandardOutputMessage.txt');
|
|
else
|
|
system('ConcurrentCommand1.bat');
|
|
end
|
|
end
|
|
end
|
|
|
|
|
|
% For matlab enviroment with options_.console_mode = 0:
|
|
% create a parallel (local/remote) specialized computational status bars!
|
|
|
|
global options_
|
|
|
|
|
|
% Create a parallel (local/remote) specialized computational status bars!
|
|
|
|
if isoctave || options_.console_mode
|
|
diary off;
|
|
if isoctave
|
|
printf('\n');
|
|
else
|
|
fprintf('\n');
|
|
end
|
|
else
|
|
hfigstatus = figure('name',['Parallel ',fname],...
|
|
'DockControls','off', ...
|
|
'IntegerHandle','off', ...
|
|
'Interruptible','off', ...
|
|
'MenuBar', 'none', ...
|
|
'NumberTitle','off', ...
|
|
'Renderer','Painters', ...
|
|
'Resize','off');
|
|
|
|
ncol = ceil(totCPU/10);
|
|
hspace = 0.9/ncol;
|
|
hstatus(1) = axes('position',[0.05/ncol 0.92 0.9/ncol 0.03], ...
|
|
'box','on','xtick',[],'ytick',[],'xlim',[0 1],'ylim',[0 1]);
|
|
set(hstatus(1),'Units','pixels')
|
|
hpixel = get(hstatus(1),'Position');
|
|
hfigure = get(hfigstatus,'Position');
|
|
hfigure(4)=hpixel(4)*10/3*min(10,totCPU);
|
|
set(hfigstatus,'Position',hfigure)
|
|
set(hstatus(1),'Units','normalized'),
|
|
vspace = max(0.1,1/totCPU);
|
|
vstart = 1-vspace+0.2*vspace;
|
|
for j=1:totCPU
|
|
jrow = mod(j-1,10)+1;
|
|
jcol = ceil(j/10);
|
|
hstatus(j) = axes('position',[0.05/ncol+(jcol-1)/ncol vstart-vspace*(jrow-1) 0.9/ncol 0.3*vspace], ...
|
|
'box','on','xtick',[],'ytick',[],'xlim',[0 1],'ylim',[0 1]);
|
|
hpat(j) = patch([0 0 0 0],[0 1 1 0],'r','EdgeColor','r');
|
|
htit(j) = title('Initialize ...');
|
|
|
|
end
|
|
|
|
cumBlockPerCPU = cumsum(nBlockPerCPU);
|
|
end
|
|
pcerdone = NaN(1,totCPU);
|
|
idCPU = NaN(1,totCPU);
|
|
|
|
|
|
|
|
% Wait for the slaves to finish their job, and display some progress
|
|
% information meanwhile.
|
|
|
|
% Caption for console mode computing ...
|
|
|
|
if options_.console_mode || isoctave
|
|
|
|
if ~isoctave
|
|
if strcmpi([Parallel(indPC).MatlabOctavePath], 'octave')
|
|
RjInformation='Hybrid Computing Is Active: Remote jobs are computed by Octave!';
|
|
fprintf([RjInformation,'\n\n']);
|
|
end
|
|
end
|
|
|
|
fnameTemp=fname;
|
|
|
|
L=length(fnameTemp);
|
|
|
|
PoCo=strfind(fnameTemp,'_core');
|
|
|
|
for i=PoCo:L
|
|
if i==PoCo
|
|
fnameTemp(i)=' ';
|
|
else
|
|
fnameTemp(i)='.';
|
|
end
|
|
end
|
|
|
|
for i=1:L
|
|
if fnameTemp(i)=='_'
|
|
fnameTemp(i)=' ';
|
|
end
|
|
end
|
|
|
|
fnameTemp(L)='';
|
|
|
|
Information=['Parallel ' fnameTemp ' Computing ...'];
|
|
if isoctave
|
|
if (~ispc || strcmpi('unix',Parallel(indPC).OperatingSystem)) && (Strategy==0)
|
|
printf('\n');
|
|
pause(2);
|
|
end
|
|
|
|
printf([Information,'\n\n']);
|
|
else
|
|
fprintf([Information,'\n\n']);
|
|
end
|
|
|
|
end
|
|
|
|
|
|
% Testing Zone
|
|
|
|
% Check the new copy file strategy ...
|
|
global NuoviFilecopiati
|
|
NuoviFilecopiati=zeros(1,totSlaves);
|
|
% End
|
|
|
|
ForEver=1;
|
|
statusString = '';
|
|
flag_CloseAllSlaves=0;
|
|
|
|
while (ForEver)
|
|
|
|
waitbarString = '';
|
|
statusString0 = repmat('\b',1,length(sprintf(statusString, 100 .* pcerdone)));
|
|
statusString = '';
|
|
|
|
pause(1)
|
|
|
|
try
|
|
if islocal ==0
|
|
dynareParallelGetFiles(['comp_status_',fname,'*.mat'],PRCDir,Parallel(1:totSlaves));
|
|
end
|
|
catch
|
|
end
|
|
|
|
for j=1:totCPU
|
|
try
|
|
if ~isempty(['comp_status_',fname,int2str(j),'.mat'])
|
|
load(['comp_status_',fname,int2str(j),'.mat']);
|
|
% whoCloseAllSlaves = who(['comp_status_',fname,int2str(j),'.mat','CloseAllSlaves']);
|
|
if exist('CloseAllSlaves') && flag_CloseAllSlaves==0
|
|
flag_CloseAllSlaves=1;
|
|
whoiamCloseAllSlaves=j;
|
|
closeSlave(Parallel(1:totSlaves),PRCDir,1);
|
|
end
|
|
end
|
|
pcerdone(j) = prtfrc;
|
|
idCPU(j) = njob;
|
|
if isoctave || options_.console_mode
|
|
statusString = [statusString, int2str(j), ' %3.f%% done! '];
|
|
else
|
|
status_String{j} = waitbarString;
|
|
status_Title{j} = waitbarTitle;
|
|
end
|
|
catch % ME
|
|
% To define!
|
|
if isoctave || options_.console_mode
|
|
statusString = [statusString, int2str(j), ' %3.f%% done! '];
|
|
end
|
|
end
|
|
end
|
|
if isoctave || options_.console_mode
|
|
if isoctave
|
|
printf([statusString,'\r'], 100 .* pcerdone);
|
|
else
|
|
if ~isempty(statusString)
|
|
fprintf([statusString0,statusString], 100 .* pcerdone);
|
|
end
|
|
end
|
|
else
|
|
for j=1:totCPU
|
|
try
|
|
set(hpat(j),'XData',[0 0 pcerdone(j) pcerdone(j)]);
|
|
set(htit(j),'String',[status_Title{j},' - ',status_String{j}]);
|
|
catch
|
|
|
|
end
|
|
end
|
|
end
|
|
|
|
% Check if the slave(s) has generated some new files remotely.
|
|
% 1. The files .log and .txt are not copied.
|
|
% 2. The comp_status_*.mat files are managed separately.
|
|
|
|
if isoctave % to avoid synchronism problems
|
|
try
|
|
PRCDirSnapshot=dynareParallelGetNewFiles(PRCDir,Parallel(1:totSlaves),PRCDirSnapshot);
|
|
catch
|
|
end
|
|
else
|
|
PRCDirSnapshot=dynareParallelGetNewFiles(PRCDir,Parallel(1:totSlaves),PRCDirSnapshot);
|
|
end
|
|
|
|
if isempty(dynareParallelDir(['P_',fname,'_*End.txt'],PRCDir,Parallel(1:totSlaves)))
|
|
HoTuttiGliOutput=0;
|
|
for j=1:totCPU
|
|
|
|
% Checking if the remote computation is finished and if we copied all the output here.
|
|
if ~isempty(dir([fname,'_output_',int2str(j),'.mat']))
|
|
HoTuttiGliOutput=HoTuttiGliOutput+1;
|
|
else
|
|
indPC=min(find(nCPU>=j));
|
|
dynareParallelGetFiles([fname,'_output_',int2str(j),'.mat'],PRCDir,Parallel(indPC));
|
|
end
|
|
end
|
|
|
|
if HoTuttiGliOutput==totCPU
|
|
mydelete(['comp_status_',fname,'*.mat']);
|
|
if isoctave || options_.console_mode
|
|
if isoctave
|
|
printf('\n');
|
|
printf(['End Parallel Session ....','\n\n']);
|
|
else
|
|
fprintf('\n');
|
|
fprintf(['End Parallel Session ....','\n\n']);
|
|
end
|
|
diary on;
|
|
else
|
|
close(hfigstatus)
|
|
end
|
|
|
|
break
|
|
else
|
|
disp('Waiting for output files from slaves ...')
|
|
end
|
|
end
|
|
|
|
end
|
|
else
|
|
|
|
for j=1:totSlaves
|
|
PRCDirSnapshot{j}={};
|
|
end
|
|
flag_CloseAllSlaves = 0;
|
|
end
|
|
% Load and format remote output.
|
|
iscrash = 0;
|
|
PRCDirSnapshot=dynareParallelGetNewFiles(PRCDir,Parallel(1:totSlaves),PRCDirSnapshot);
|
|
|
|
for j=1:totCPU
|
|
indPC=min(find(nCPU>=j));
|
|
load([fname,'_output_',int2str(j),'.mat'],'fOutputVar');
|
|
delete([fname,'_output_',int2str(j),'.mat']);
|
|
if isfield(fOutputVar,'OutputFileName') && Parallel(indPC).Local==0
|
|
% Check if input files have been updated!
|
|
OutputFileName=fOutputVar.OutputFileName;
|
|
tmp0='';
|
|
for i=1:size(NamFileInput,1)
|
|
FileList = regexp(strrep(PRCDirSnapshot{indPC},'\','/'),strrep(strrep([NamFileInput{i,:}],'\','/'),'*','(\w*)'),'match');
|
|
for k=1:length(FileList)
|
|
if ~isempty(FileList{k})
|
|
if isempty(tmp0)
|
|
tmp0=FileList{k}{1};
|
|
else
|
|
tmp0=char(tmp0,FileList{k}{1});
|
|
end
|
|
end
|
|
end
|
|
end
|
|
for i=1:size(OutputFileName,1)
|
|
tmp1='';
|
|
FileList = regexp(cellstr(tmp0),strrep(strrep([OutputFileName{i,:}],'\','/'),'*','(\w*)'),'match');
|
|
FileList0 = regexp(cellstr(tmp0),strrep([OutputFileName{i,2}],'*','(\w*)'),'match');
|
|
for k=1:length(FileList)
|
|
if ~isempty(FileList{k})
|
|
if isempty(tmp1)
|
|
tmp1=FileList0{k}{1};
|
|
else
|
|
tmp1=char(tmp1,FileList0{k}{1});
|
|
end
|
|
end
|
|
end
|
|
for k=1:size(tmp1,1)
|
|
dynareParallelGetFiles([OutputFileName(i,1) {tmp1(k,:)}],PRCDir,Parallel(indPC));
|
|
end
|
|
end
|
|
% check if some output file is missing!
|
|
for i=1:size(OutputFileName,1)
|
|
tmp1=dynareParallelDir([OutputFileName{i,:}],PRCDir,Parallel(indPC));
|
|
tmp1 = regexp(cellstr(tmp1),strrep([OutputFileName{i,2}],'*','(\w*)'),'match');
|
|
tmp1 = char(tmp1{:});
|
|
tmp2=ls([OutputFileName{i,:}]);
|
|
for ij=1:size(tmp1,1)
|
|
icheck = regexp(cellstr(tmp2),tmp1(ij,:),'once');
|
|
isOutputFileMissing=1;
|
|
for ik=1:size(tmp2,1)
|
|
if ~isempty(icheck{ik})
|
|
isOutputFileMissing=0;
|
|
end
|
|
end
|
|
if isOutputFileMissing
|
|
dynareParallelGetFiles([OutputFileName(i,1) {tmp1(ij,:)}],PRCDir,Parallel(indPC));
|
|
end
|
|
end
|
|
end
|
|
|
|
end
|
|
if isfield(fOutputVar,'error')
|
|
disp(['Job number ',int2str(j),' crashed with error:']);
|
|
iscrash=1;
|
|
disp([fOutputVar.error.message]);
|
|
for jstack=1:length(fOutputVar.error.stack)
|
|
fOutputVar.error.stack(jstack)
|
|
end
|
|
elseif flag_CloseAllSlaves==0
|
|
fOutVar(j)=fOutputVar;
|
|
elseif j==whoiamCloseAllSlaves
|
|
fOutVar=fOutputVar;
|
|
end
|
|
end
|
|
|
|
if flag_CloseAllSlaves==1
|
|
closeSlave(Parallel(1:totSlaves),PRCDir,-1);
|
|
end
|
|
|
|
if iscrash
|
|
error('Remote jobs crashed');
|
|
end
|
|
|
|
pause(1) % Wait for all remote diary off completed
|
|
|
|
% Cleanup.
|
|
dynareParallelGetFiles('*.log',PRCDir,Parallel(1:totSlaves));
|
|
|
|
switch Strategy
|
|
case 0
|
|
for indPC=1:min(find(nCPU>=totCPU))
|
|
if Parallel(indPC).Local == 0
|
|
dynareParallelRmDir(PRCDir,Parallel(indPC));
|
|
end
|
|
|
|
if isempty(dir('dynareParallelLogFiles'))
|
|
rmdir('dynareParallelLogFiles');
|
|
mkdir('dynareParallelLogFiles');
|
|
end
|
|
try
|
|
copyfile('*.log','dynareParallelLogFiles');
|
|
mydelete([fname,'*.log']);
|
|
catch
|
|
end
|
|
|
|
mydelete('*_core*_input*.mat');
|
|
|
|
end
|
|
|
|
delete ConcurrentCommand1.bat
|
|
case 1
|
|
delete('temp_input.mat')
|
|
if newInstance
|
|
if isempty(dir('dynareParallelLogFiles'))
|
|
rmdir('dynareParallelLogFiles');
|
|
mkdir('dynareParallelLogFiles');
|
|
end
|
|
end
|
|
copyfile('*.log','dynareParallelLogFiles');
|
|
if newInstance
|
|
delete ConcurrentCommand1.bat
|
|
end
|
|
dynareParallelDelete(['comp_status_',fname,'*.mat'],PRCDir,Parallel);
|
|
for indPC=1:min(find(nCPU>=totCPU))
|
|
if Parallel(indPC).Local == 0
|
|
dynareParallelDeleteNewFiles(PRCDir,Parallel(indPC),PRCDirSnapshotInit(indPC),'.log');
|
|
for ifil=1:size(NamFileInput,1)
|
|
dynareParallelDelete([NamFileInput{ifil,:}],PRCDir,Parallel(indPC));
|
|
end
|
|
end
|
|
end
|
|
end
|