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

[Clemens Brunner]

Just a small note, but CUDA does not run on "almost every modern graphic 
card"; it is limited to Nvidia chips. This can be an issue on Macs 
(especially on MacBooks), because Apple keeps switching back and forth 
between AMD/ATI and Nvidia graphics chips.

Clemens



On 10/16/2012 10:31 PM, Tarik S Bel-Bahar wrote:
> 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
> <mailto: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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