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Richard

E-mail: richard.walker@st.com

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Comments and Ratings by Richard		1 - 1 of 1
Updated	File	Comments	Rating
02 Apr 2009	Multicore - Parallel processing on multiple cores This package realizes parallel processing on multiple cores/machines. Author: Markus Buehren	Brilliant tool! Great being able to sit back and watch a progress bar sliding along as a room full of computers gets to work doing your simulation. I have a question though - what dimensions are typically used for parameterCell? I've tried doing some large multidimensional runs (e.g. 4x150x10) and things seemed to grind to a halt - I'm still looking into it, just wondered if the dimensions I'm using are typical or too large. Cheers. Great work, Richard.

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Files Matching Richard's Watch List					1 - 1 of 1
Updated		File	Tags	Downloads (last 30 days)	Comments	Rating
25 Aug 2009		Multicore - Parallel processing on multiple cores This package realizes parallel processing on multiple cores/machines. Author: Markus Buehren	distributed computing, parallel computing, multicore processing, parallel processing, multiple core, distributed processin...	167	40	4.68571 4.7 \| 38 ratings

Comments and Ratings Matching Richard's Watch List			1-5 of 45
Date	File	Comment by	Comments	Rating
04 Nov 2009	Multicore - Parallel processing on multiple cores This package realizes parallel processing on multiple cores/machines.	Karl	Hi Markus, first of all -- you've developed a great tool that helps me a lot with my simulations in the field of audio signal processing. Seeing my dual quad core at 100% (instead of 13%) load warms my heart :). Well, I'm not sure whether I'm getting something wrong here, but I had some problems when the function that is executed by the multicoremaster() (and the slaves) has more than one return value. It seems that in this case all but the first return values get lost. I applied a little trick that I found out about some time ago to solve this problem: Everytime that feval() is called (in startmulticoremaster() and startmulticoreslave() ) I added something like this: N_returnValues = nargout(functionHandleCell{k}); clear('returnValue'); % this is dirty! The next call doesn't work % without clearing "returnValue" beforehand if % N_returnValues==1. If it's greater->no % problem (even without clearing % "returnValue") [returnValue{1:N_returnValues}] = feval(functionHandleCell{k}, parameterCell{k}{:}); % ha! resultCell{k} = returnValue; Doing so, the resultsCell that is returned from startmulticoremaster() is always a cell -- even if the called function has only one return value... I hope this is of any value to anybody and that I'm not causing trouble by posting this hack :). I'm always open to learn a better solution.... Cheers, and thanks again for Multicore! Karl	Comment only
04 Nov 2009	Multicore - Parallel processing on multiple cores This package realizes parallel processing on multiple cores/machines.	Karl		5
24 Oct 2009	Multicore - Parallel processing on multiple cores This package realizes parallel processing on multiple cores/machines.	DAdler	Thank you very much for this great tool! I started using your code a few of months ago, and I must say it saved me lots of hours of work.	5
28 Sep 2009	Multicore - Parallel processing on multiple cores This package realizes parallel processing on multiple cores/machines.	Johannes Wunsch	Awesome tool, I use it for fitting a computationally expensive financial model and it works just great. Thanks a lot for publishing it!! Johannes	5
16 Sep 2009	Multicore - Parallel processing on multiple cores This package realizes parallel processing on multiple cores/machines.	Amir	I have little bit of problem running the master and slave processes over the network. I am not sure how to share the folder over a linux network! Anybody can help?	5

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