[Eeglablist] Newtimef CUDA?

[Makoto Miyakoshi]

Dear Andrew,

I also had an occasion to process over 100 datasets. Below is a
practical solution (i.e., without rewriting the code) I found. If you
want to try it, do it at your own risk.

1. If you have 100 subjects, then create STUDY first with proper
STUDY.design. Do not run precompute yet.
2. Create 4 25 subjects STUDYs using the same data.
3. Run precompute for these 4 in parallel (assuming you have 4 core CPU).
4. Load the first 100 subject STUDY and cluster them.

Makoto

2012/10/11 Andrew Hill <andrewhill at ucla.edu>:
> Has anyone explored optimizing execution time of newtimef with CUDA or OpenGL?
>
> My ERSP runs take a week or so each (120 files, 30-min EEG, 64 channels @ 512 Hz) running on either a 64-bit Mac or Win.
>
> Of note is that this keeps CPU & RAM at only ~ 25% load the entire week, so there is some bottleneck that isn't resource limited.
>
> Any other suggestions for speeding up ERSP?
>
> Thanks,
> Andrew Hill
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-- 
Makoto Miyakoshi
JSPS Postdoctral Fellow for Research Abroad
Swartz Center for Computational Neuroscience
Institute for Neural Computation, University of California San Diego