Dear all, I'm performing a study about the variability of the execution time of recon-all. I noticed that the execution of recon-all in Freesurfer 5.3 for two identical MRIs (two copies of the same MRI), takes different execution time.
I'm performing the execution using GPUs capability, but the same is happening for the CPU-only executions. Checking the output logs I found that in for example CA Reg, the number of the iterations is different, what's the main source of this variability? I guess that maybe It is related to some random seeds used and the convergence of the implemented methods. Am I right? CA Reg example: Execution Time 1 - Subject 1: 00:25:23 Execution Time 2 - Subject 1: 00:32:14 In both cases the computing node was used exclusively used for the recon-all execution. Did you measured the percentage of this variability? Can we extract some measures to compare the performed work on each execution? I'm thinking on the number of GPU kernels executed, the number of the iterations of the methods... Thank you in advance, -- Jordi Delgado Mengual PIC (Port d'Informació CientÃfica) Campus UAB, Edifici D E-08193 Bellaterra, Barcelona http://www.pic.es Avis - Aviso - Legal Notice: http://www.ifae.es/legal.html
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