I'm testing the total processing time of recon-all -all using -openmp 4,6,8,12 . The runs with 4 and 6 threads took almost the same amount of time. The runs with 8 and 12 threads took almost the same amount of time.
(1) Is the work divided evenly between the threads (mri_ca_register, mri_en_register)? Or is 4 or 8 preferred and 6 and 12 don't buy you anything? (2) Is there a sync point in the software so that all the "other" threads wait for the slowest one to complete. Also, I tried a run with -use-gpu. I had to add a directory to LD_LIBRARY_PATH or I get an error on failure to find one of the libcuda's That is now ok but I get the following: Testing for CUDA device: ERROR: Unable to acquire a CUDA device! nvcc: NVIDIA (R) Cuda compiler driver Copyright (c) 2005-2012 NVIDIA Corporation Built on Fri_Sep_21_17:28:58_PDT_2012 Cuda compilation tools, release 5.0, V0.2.1221 Acquiring CUDA device Using default device Linux comet-30-08.sdsc.edu 3.10.73-1.el6.elrepo.x86_64 #1 SMP Thu Mar 26 16:28:30 EDT 2015 x86_64 x86_64 x86_64 GNU/Linux recon-all -s 173_1gpu exited with ERRORS at Thu Apr 30 09:17:42 PDT 2015_PATH but then I get the following error: Any thoughts would be welcome. Thanks, Don Don Krieger, Ph.D. Department of Neurological Surgery University of Pittsburgh
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