<html><head><meta http-equiv="content-type" content="text/html; charset=utf-8"></head><body dir="auto"><div><span style="-webkit-text-size-adjust: auto;">When that is the cause you could try to control the automatic graphic switching by </span><font face=".HelveticaNeueUI"><span style="font-size: 15px; line-height: 19px; white-space: nowrap; -webkit-tap-highlight-color: rgba(26, 26, 26, 0.292969); -webkit-composition-fill-color: rgba(175, 192, 227, 0.230469); -webkit-composition-frame-color: rgba(77, 128, 180, 0.230469);">gfxCardStatus menu-Bar tool (</span></font><span style="font-family: '.HelveticaNeueUI'; font-size: 15px; line-height: 19px; white-space: nowrap; -webkit-tap-highlight-color: rgba(26, 26, 26, 0.296875); -webkit-composition-fill-color: rgba(175, 192, 227, 0.230469); -webkit-composition-frame-color: rgba(77, 128, 180, 0.230469); "><a href="http://gfx.io/">http://gfx.io/</a>).</span></div><div><font face=".HelveticaNeueUI"><span style="font-size: 15px; line-height: 19px; white-space: nowrap; -webkit-tap-highlight-color: rgba(26, 26, 26, 0.292969); -webkit-composition-fill-color: rgba(175, 192, 227, 0.230469); -webkit-composition-frame-color: rgba(77, 128, 180, 0.230469);">Perhaps this works for you.</span></font></div><div><font face=".HelveticaNeueUI"><span style="font-size: 15px; line-height: 19px; white-space: nowrap; -webkit-tap-highlight-color: rgba(26, 26, 26, 0.292969); -webkit-composition-fill-color: rgba(175, 192, 227, 0.230469); -webkit-composition-frame-color: rgba(77, 128, 180, 0.230469);"><br></span></font></div><div><font face=".HelveticaNeueUI"><span style="font-size: 15px; line-height: 19px; white-space: nowrap; -webkit-tap-highlight-color: rgba(26, 26, 26, 0.292969); -webkit-composition-fill-color: rgba(175, 192, 227, 0.230469); -webkit-composition-frame-color: rgba(77, 128, 180, 0.230469);">Best,</span></font></div><div><font face=".HelveticaNeueUI"><span style="font-size: 15px; line-height: 19px; white-space: nowrap; -webkit-tap-highlight-color: rgba(26, 26, 26, 0.292969); -webkit-composition-fill-color: rgba(175, 192, 227, 0.230469); -webkit-composition-frame-color: rgba(77, 128, 180, 0.230469);"><br></span></font></div><div><font face=".HelveticaNeueUI"><span style="font-size: 15px; line-height: 19px; white-space: nowrap; -webkit-tap-highlight-color: rgba(26, 26, 26, 0.292969); -webkit-composition-fill-color: rgba(175, 192, 227, 0.230469); -webkit-composition-frame-color: rgba(77, 128, 180, 0.230469);">Manuel<br></span></font><br><span style="-webkit-text-size-adjust: auto;">On 17.10.2012, at 02:40, Clemens Brunner <<a href="mailto:clemens.brunner@tugraz.at">clemens.brunner@tugraz.at</a>> wrote:</span><br><br></div><div style="-webkit-text-size-adjust: auto; "><span></span></div><blockquote type="cite" style="-webkit-text-size-adjust: auto; "><div><span>Just a small note, but CUDA does not run on "almost every modern graphic </span><br><span>card"; it is limited to Nvidia chips. This can be an issue on Macs </span><br><span>(especially on MacBooks), because Apple keeps switching back and forth </span><br><span>between AMD/ATI and Nvidia graphics chips.</span><br><span></span><br><span>Clemens</span><br><span></span><br><span></span><br><span></span><br><span>On 10/16/2012 10:31 PM, Tarik S Bel-Bahar wrote:</span><br><blockquote type="cite"><span>Greetings Juan,</span><br></blockquote><blockquote type="cite"><span></span><br></blockquote><blockquote type="cite"><span>Can you provide some more information about</span><br></blockquote><blockquote type="cite"><span></span><br></blockquote><blockquote type="cite"><span>...on MacOS...</span><br></blockquote><blockquote type="cite"><span>1. How much minimal RAM is needed to run CUDAICA ?</span><br></blockquote><blockquote type="cite"><span>2. Whether it runs on Mac OS 10.6 ?</span><br></blockquote><blockquote type="cite"><span>3. Whether any of the needed downloads (such as Xcode from Appstore)</span><br></blockquote><blockquote type="cite"><span>have a specific cost ?</span><br></blockquote><blockquote type="cite"><span>4. How to check that whatever graphics card we have is compatible with</span><br></blockquote><blockquote type="cite"><span>CUDICA ?</span><br></blockquote><blockquote type="cite"><span>5. As per a recent question on eeglab list, is it possible to use</span><br></blockquote><blockquote type="cite"><span>similar functionality to speed up other processes</span><br></blockquote><blockquote type="cite"><span>such as study precomputation in eeglab ?</span><br></blockquote><blockquote type="cite"><span></span><br></blockquote><blockquote type="cite"><span>Thanks for any information you can provide! please feel free to refer to</span><br></blockquote><blockquote type="cite"><span>specific parts of the documentation as necessary.</span><br></blockquote><blockquote type="cite"><span></span><br></blockquote><blockquote type="cite"><span>Best wishes,</span><br></blockquote><blockquote type="cite"><span>Tarik</span><br></blockquote><blockquote type="cite"><span></span><br></blockquote><blockquote type="cite"><span></span><br></blockquote><blockquote type="cite"><span></span><br></blockquote><blockquote type="cite"><span>On Sun, Jul 8, 2012 at 7:27 PM, Juan Kamienkowski <<a href="mailto:jkamienk@gmail.com">jkamienk@gmail.com</a></span><br></blockquote><blockquote type="cite"><span><<a href="mailto:jkamienk@gmail.com">mailto:jkamienk@gmail.com</a>>> wrote:</span><br></blockquote><blockquote type="cite"><span></span><br></blockquote><blockquote type="cite"><span> Dear eeglablist,</span><br></blockquote><blockquote type="cite"><span></span><br></blockquote><blockquote type="cite"><span> We recently developed a GPU-based solution for Infomax ICA</span><br></blockquote><blockquote type="cite"><span> implementation (CUDAICA) that, comparing with the original BLAS and</span><br></blockquote><blockquote type="cite"><span> CUBLAS versions, obtains a 25x increase of performance for the ICA</span><br></blockquote><blockquote type="cite"><span> calculation. This is a couple of hours instead a couple of days of</span><br></blockquote><blockquote type="cite"><span> processing. This is now published online in:</span><br></blockquote><blockquote type="cite"><span></span><br></blockquote><blockquote type="cite"><span> Federico Raimondo, Juan E. Kamienkowski, Mariano Sigman, and Diego</span><br></blockquote><blockquote type="cite"><span> Fernandez Slezak "CUDAICA: GPU Optimization of Infomax-ICA EEG</span><br></blockquote><blockquote type="cite"><span> Analysis" Computational Intelligence and Neuroscience. Volume 2012</span><br></blockquote><blockquote type="cite"><span> (2012), Article ID 206972, 8 pages. doi:10.1155/2012/206972</span><br></blockquote><blockquote type="cite"><span></span><br></blockquote><blockquote type="cite"><span> <a href="http://www.hindawi.com/journals/cin/2012/206972/">http://www.hindawi.com/journals/cin/2012/206972/</a></span><br></blockquote><blockquote type="cite"><span></span><br></blockquote><blockquote type="cite"><span> We will be very glad if you want to try it. CUDAICA is freely</span><br></blockquote><blockquote type="cite"><span> available from our wiki</span><br></blockquote><blockquote type="cite"><span> (<a href="http://calamaro.exp.dc.uba.ar/cudaica/doku.php?id=start">http://calamaro.exp.dc.uba.ar/cudaica/doku.php?id=start</a>) with a</span><br></blockquote><blockquote type="cite"><span> description of application features, FAQ and installation instructions</span><br></blockquote><blockquote type="cite"><span> . CUDAICA works as a standalone application and integrates to the</span><br></blockquote><blockquote type="cite"><span> EEGLAB Toolbox adding an option to process ICA using CUDAICA, just</span><br></blockquote><blockquote type="cite"><span> like any other ICA implementation. It was designed for standard EEGLAB</span><br></blockquote><blockquote type="cite"><span> users, with no extra effort needed to run this implementation. It</span><br></blockquote><blockquote type="cite"><span> works under CUDA enabled hardware, that is, almost every modern</span><br></blockquote><blockquote type="cite"><span> graphic card, making CUDAICA widely available and easy to use.</span><br></blockquote><blockquote type="cite"><span></span><br></blockquote><blockquote type="cite"><span> Best,</span><br></blockquote><blockquote type="cite"><span></span><br></blockquote><blockquote type="cite"><span> juan</span><br></blockquote><blockquote type="cite"><span></span><br></blockquote><blockquote type="cite"><span> --</span><br></blockquote><blockquote type="cite"><span> Juan E Kamienkowski</span><br></blockquote><blockquote type="cite"><span> Laboratorio de Neurociencia Integrativa</span><br></blockquote><blockquote type="cite"><span> Departamento de Fisica, FCEN-UBA</span><br></blockquote><blockquote type="cite"><span> Ciudad Universitaria, Pabellon I</span><br></blockquote><blockquote type="cite"><span> (1428) Buenos Aires, Argentina</span><br></blockquote><blockquote type="cite"><span> Phone: (54-11) 4576 3300 (282)</span><br></blockquote><blockquote type="cite"><span> Fax: (54-11) 4576 3357</span><br></blockquote><blockquote type="cite"><span> <a href="http://www.neurociencia.df.uba.ar/">http://www.neurociencia.df.uba.ar/</a></span><br></blockquote><blockquote type="cite"><span> _______________________________________________</span><br></blockquote><blockquote type="cite"><span> Eeglablist page: <a href="http://sccn.ucsd.edu/eeglab/eeglabmail.html">http://sccn.ucsd.edu/eeglab/eeglabmail.html</a></span><br></blockquote><blockquote type="cite"><span> To unsubscribe, send an empty email to</span><br></blockquote><blockquote type="cite"><span> <a href="mailto:eeglablist-unsubscribe@sccn.ucsd.edu">eeglablist-unsubscribe@sccn.ucsd.edu</a></span><br></blockquote><blockquote type="cite"><span> <<a href="mailto:eeglablist-unsubscribe@sccn.ucsd.edu">mailto:eeglablist-unsubscribe@sccn.ucsd.edu</a>></span><br></blockquote><blockquote type="cite"><span> For digest mode, send an email with the subject "set digest mime" to</span><br></blockquote><blockquote type="cite"><span> <a href="mailto:eeglablist-request@sccn.ucsd.edu">eeglablist-request@sccn.ucsd.edu</a></span><br></blockquote><blockquote type="cite"><span> <<a href="mailto:eeglablist-request@sccn.ucsd.edu">mailto:eeglablist-request@sccn.ucsd.edu</a>></span><br></blockquote><blockquote type="cite"><span></span><br></blockquote><blockquote type="cite"><span></span><br></blockquote><blockquote type="cite"><span></span><br></blockquote><blockquote type="cite"><span></span><br></blockquote><blockquote type="cite"><span>_______________________________________________</span><br></blockquote><blockquote type="cite"><span>Eeglablist page: <a href="http://sccn.ucsd.edu/eeglab/eeglabmail.html">http://sccn.ucsd.edu/eeglab/eeglabmail.html</a></span><br></blockquote><blockquote type="cite"><span>To unsubscribe, send an empty email to <a href="mailto:eeglablist-unsubscribe@sccn.ucsd.edu">eeglablist-unsubscribe@sccn.ucsd.edu</a></span><br></blockquote><blockquote type="cite"><span>For digest mode, send an email with the subject "set digest mime" to <a href="mailto:eeglablist-request@sccn.ucsd.edu">eeglablist-request@sccn.ucsd.edu</a></span><br></blockquote><blockquote type="cite"><span></span><br></blockquote><span></span><br><span>_______________________________________________</span><br><span>Eeglablist page: <a href="http://sccn.ucsd.edu/eeglab/eeglabmail.html">http://sccn.ucsd.edu/eeglab/eeglabmail.html</a></span><br><span>To unsubscribe, send an empty email to <a href="mailto:eeglablist-unsubscribe@sccn.ucsd.edu">eeglablist-unsubscribe@sccn.ucsd.edu</a></span><br><span>For digest mode, send an email with the subject "set digest mime" to <a href="mailto:eeglablist-request@sccn.ucsd.edu">eeglablist-request@sccn.ucsd.edu</a></span><br></div></blockquote></body></html>