[Eeglablist] Compiling AMICA for NVIDIA GPU?

[Michael Spezio]

Thanks very much Makoto. I was hoping to continue with the benefits of AMICA and to use multiple model estimation as well with that algorithm. I haven't worked with the infomax algorithm in a while since I found its estimated components to be less interpretable than those of AMICA over a few different cognitive EEG studies. But I'll check again. I'm glad to know that CUDAICA offers substantial acceleration.

Best wishes,

Michael
________________________________
From: eeglablist <eeglablist-bounces at sccn.ucsd.edu> on behalf of Makoto Miyakoshi <mmiyakoshi at ucsd.edu>
Sent: Friday, July 17, 2020 2:34 PM
To: eeglablist <eeglablist at sccn.ucsd.edu>
Subject: Re: [Eeglablist] Compiling AMICA for NVIDIA GPU?

Dear Michael,

I don't know NVIDIA I heard of CAUDAMICA years ago developed by my former
colleague, but he told me that the implementation did not efficientize the
process.
CUDAICA was very successful. This is infomax based. I used it several times
and it was really fast.

Makoto

On Thu, Jul 16, 2020 at 8:07 AM Michael Spezio <mspezio at scrippscollege.edu>
wrote:

> Has anyone tried to compile the AMICA fortran under ubuntu for NVIDIA GPU?
> Has it worked, or is there a working binary available?
>
> Thanks.
>
> Michael Spezio, Ph.D.
> Associate Professor of Psychology & Neuroscience
> Laboratory for Inquiry into Valuation and Emotion
> (The LIVE Lab)
> mspezio at scrippscollege.edu
> Scripps College
> 118 Steele Hall
> 1030 Columbia Ave.
> Claremont, CA 91711
>
> "Emendemus in melius quae ignoranter peccavimus" - from William Byrd's
> first published composition
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