Thank you, Pedro. That is really useful.
2011/2/27 Pedro Paulo de Magalhães Oliveira Junior ppj@netfilter.com.br
You'll find some answers here: http://www.mail-archive.com/freesurfer@nmr.mgh.harvard.edu/msg15728.html
2011/2/26 Pablo Polosecki ppolosecki@mail.rockefeller.edu
Hi Pedro and everyone,
Thanks so much for pointing me there. I seems like the only way to parallelize is to run several recon-all simultanously intstead of wating for one to finshe and then run the following. I wonder if you (of someone else) managed to achieve some further decrease in running times, making a single recon-all run faster or something like that. Was it any different in the Amazon EC2?
It would seem that the analysis fo functional data (at least parts of it) could run in parallel, since the analysis of one voxel is independent of the rest. I would love to know if this is something people do. An ugly implementation could be to split the volumes into several small volume files and run the analysis separately and then merge back the output volumes. Has anyone done something like that or nicer?
Thanks!
Pablo
2011/2/26 Pedro Paulo de Magalhães Oliveira Junior ppj@netfilter.com.br
Yes. Take a look at:
http://surfer.nmr.mgh.harvard.edu/fswiki/UserContributions/FAQ#Q.HowcanIredu...
Also I have successfully executed it at Amazon EC2 instances.
PPJ
Pedro Paulo de Magalhães Oliveira Junior Diretor de Operações Netfilter & SpeedComm Telecom -- www.netfilter.com.br -- For mobile: http://www.netfilter.com.br/mobile
On Sat, Feb 26, 2011 at 19:59, Pablo Polosecki < ppolosecki@mail.rockefeller.edu> wrote:
Hi all,
I was wondering if someone out there has any experience trying to parallelize their analysis streams in clusters or multiprocessor machines. I was thinking also about the cloud computing services offered by Google, Amazon or other. Has anyone tried or has any plans of implementing something along those lines?
Best wishes,
Pablo
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