Thanks for your response,i really appreciate it
I tried to use GPU for my bedpost analysis but i failed to config it properly
so it didn't work for me. Since i can have access to high-performance computing
cluster with multiple nodes, i decide it to parallelise bedpost. Is
parallelising bedpost need a special configuration? is there any step by step
manual for that? (my opertating system is centos 6.5) should i use SGE?
That's a good news for me, have day set an exact date for the next data release?
Regards
On Saturday, August 15, 2015 8:59 PM, Joseph Orr <[email protected]>
wrote:
Bedpostx_gpu can run on a CUDA-capable GPU and gain a significant speedup. Or
you need a high-performance computing cluster with multiple nodes. I believe
previous posts have suggested that the bedpost processed data is to be included
in the next data release.
Joe
--Joseph M. Orr, Ph.D.Assistant ProfessorDepartment of PsychologyTexas A&M
UniversityCollege Station, TX
On Sat, Aug 15, 2015 at 3:09 AM, mohamad reza <[email protected]> wrote:
Dear members
I am working on human connectome DWI data. I want to apply fsl probtrackx on
it, but in order to do that, i need to apply bedpostx first. I understand that
the bedpost operation requires approximately 15 hours for a 60-direction whole
brain data set of dimensions 128x128x70, at 2 mm isotropic resolution. Since
the connectome preprocessed DWI contain 288 volume for each subject ( (2 phase
encoding * 45 direction * 3 b values) + (3 * 6 b0) ) it will take a much
longer time. Is there any way to reduce the time?or is it possible to use the
directions for just one b value?
I really appreciate any help you can provide
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