In general, FSL uses SGE to split tasks into different jobs, and send them to different cores. bedpostx_gpu does the same using SGE. It can split a dataset into different parts and send each one to a different GPU. For doing that you will need to create a specific queue for GPU hobs, with as many slots as GPUs (2 in your case). Here you can read more about FSL and SGE: https://fsl.fmrib.ox.ac.uk/fsl/fslwiki/FslSge I think Son of Grid Engine is free, so you do not need to order it, but you will need to install it: https://arc.liv.ac.uk/trac/SGE Moises. On 16 February 2018 at 06:56, Wu chen <[log in to unmask]> wrote: > Dear Moises, > > I have one quick follow-up question. > > I have read about multi GPU and it requires SGE. Does SGE comes with GPU > or I have to order it with multi GPU machine? LIke you suggested, we are > thinking to order two of the tesla Family GPUs but I am not sure about SGE. > Could you tell me if it comes with CentOS? > > Many thanks once again. > > > > On 16 February 2018 at 12:47, Wu chen <[log in to unmask]> wrote: > >> Thanks alot Moises for your valuable comments and your precious time. I >> really appreciate it. >> >> Best, Wu >> >> On 15 February 2018 at 16:54, Moises Hernandez <[log in to unmask]> >> wrote: >> >>> Hi Wu. >>> >>> 1) Do you think above mentioned CPUs and GPUs would be able to run CUDA >>> and BEDPOSTX ? Is it appropriate or should we look for some other >>> configuration? >>> >>> Yes, it will work, but I do not recommend Quadro GPUs They are expensive >>> and the performance is not so great as Tesla, specially in double >>> precission. >>> I prefer Tesla family, and if not possible, GeForce (not as good >>> performance as Tesla but more affordable than Quadro). >>> >>> 2) Do you think it is better to have 2 CPUs for and 2 GPUs for >>> quickers image pre-processing? or there is as such no difference in the >>> results when compared to ony one CPU and one GPU. >>> >>> Each GPU needs one CPU core, and each of these processors has 10 cores?. >>> So, one processor is enough, although you still can use the rest of CPU >>> cores for running other tasks in parallel. >>> I am not sure about memory buses (for copying data CPU <-> GPU). Take a >>> look to the configuration, PCIexpress, NVLINK... >>> In any case, bedpostx does not need to copy much data... so this is not >>> a problem if these transfers happens sequentially. >>> >>> 3 & 4) Yes, UbuntuOS is ok for bedpostx_gpu, however, if you want to >>> make things easier when installing FSL, use CentOS (used forFSL >>> distribution) >>> >>> Moises. >>> >>> On 15 February 2018 at 10:22, Wu chen <[log in to unmask]> wrote: >>> >>>> Dear FSL Users and Experts, >>>> >>>> >>>> We are thinking to order following configuration for CUDA >>>> implementation and I have some questions related to it. >>>> >>>> First Processor >>>> >>>> -Xeon E5-2630V4 2.2Ghz 20MB Turbo Boost (S26361-F5001-E220) >>>> >>>> Second Processor >>>> >>>> -2ND XEON E5-2630V4 (S26361-F5002-E230) >>>> >>>> RAM >>>> >>>> -16 x 16 GB = 256GB RAM >>>> >>>> HDD SATA III >>>> >>>> -2TB x 2 = 4TB >>>> >>>> First Graphics Card >>>> >>>> -NVIDIA QUADRO M5000 8GB ( S26361-F2222-E593 ) >>>> >>>> Second Graphics Card >>>> -NVIDIA QUADRO M5000 8GB (S26361-F2222-E990) >>>> >>>> >>>> >>>> >>>> 1) Do you think above mentioned CPUs and GPUs would be able to run >>>> CUDA and BEDPOSTX ? Is it appropriate or should we look for some other >>>> configuration? Please suggest a configuration if you disagree with our >>>> configuration. >>>> >>>> 2) Do you think it is better to have 2 CPUs for and 2 GPUs for quickers >>>> image pre-processing? or there is as such no difference in the results when >>>> compared to ony one CPU and one GPU >>>> >>>> 3) Which CentoOS version and CUDA version would you suggest to install >>>> on the above configuration? >>>> >>>> 4) Can we run CUDA implementation on UbuntuOS? >>>> >>>> I really appreciate your time and efforts for making our lab more >>>> faster and more powerful. >>>> >>>> Many Thanks >>>> Best, Wu >>>> >>>> >>>> >>>> >>> >> >