[Eeglablist] CUDAICA: GPU Optimization of Infomax-ICA EEG Analysis

[Tarik S Bel-Bahar]

Greetings Juan,

Can you provide some more information about

...on MacOS...
1. How much minimal RAM is needed to run CUDAICA ?
2. Whether it runs on Mac OS 10.6 ?
3. Whether any of the needed downloads (such as Xcode from Appstore) have a
specific cost ?
4. How to check that whatever graphics card we have is compatible with
CUDICA ?
5. As per a recent question on eeglab list, is it possible to use similar
functionality to speed up other processes
such as study precomputation in eeglab ?

Thanks for any information you can provide! please feel free to refer to
specific parts of the documentation as necessary.

Best wishes,
Tarik



On Sun, Jul 8, 2012 at 7:27 PM, Juan Kamienkowski <jkamienk at gmail.com>wrote:

> Dear eeglablist,
>
> We recently developed a GPU-based solution for Infomax ICA
> implementation (CUDAICA) that, comparing with the original BLAS and
> CUBLAS versions, obtains a 25x increase of performance for the ICA
> calculation. This is a couple of hours instead a couple of days of
> processing. This is now published online in:
>
> Federico Raimondo, Juan E. Kamienkowski, Mariano Sigman, and Diego
> Fernandez Slezak "CUDAICA: GPU Optimization of Infomax-ICA EEG
> Analysis" Computational Intelligence and Neuroscience. Volume 2012
> (2012), Article ID 206972, 8 pages. doi:10.1155/2012/206972
>
> http://www.hindawi.com/journals/cin/2012/206972/
>
> We will be very glad if you want to try it. CUDAICA is freely
> available from our wiki
> (http://calamaro.exp.dc.uba.ar/cudaica/doku.php?id=start) with a
> description of application features, FAQ and installation instructions
> . CUDAICA works as a standalone application and integrates to the
> EEGLAB Toolbox adding an option to process ICA using CUDAICA, just
> like any other ICA implementation. It was designed for standard EEGLAB
> users, with no extra effort needed to run this implementation. It
> works under CUDA enabled hardware, that is, almost every modern
> graphic card, making CUDAICA widely available and easy to use.
>
> Best,
>
> juan
>
> --
> Juan E Kamienkowski
> Laboratorio de Neurociencia Integrativa
> Departamento de Fisica, FCEN-UBA
> Ciudad Universitaria, Pabellon I
> (1428) Buenos Aires, Argentina
> Phone: (54-11) 4576 3300 (282)
> Fax: (54-11) 4576 3357
> http://www.neurociencia.df.uba.ar/
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