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

[Manuel Lemos Rodrigues]

When that is the cause you could try to control the  automatic graphic switching by gfxCardStatus menu-Bar tool (http://gfx.io/).
Perhaps this works for you.

Best,

Manuel

On 17.10.2012, at 02:40, Clemens Brunner <clemens.brunner at tugraz.at> wrote:

> 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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>> 
>> 
>> 
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