[BioC] GPU Computing with Flow Cytometry

[Kevin Schiesser]

On 11/15/2012 02:52 PM, Kevin Schiesser wrote:
> Hi y'all,
>
> Does Bioconductor support GPU/multi-core computing for flow cytometry 
> data analysis?
>
> For instance, in the flowMerge package there is a pFlowClust option. 
> When I load the flowMerge library, and call flowClust(), I get the 
> output 'Using the serial version of flowClust'. I have a quad-core 
> processor (Intel(R) Core(TM) i5-3210M CPU @ 2.50GHz) and a geForce GT 
> 650M video card (CUDA enabled) running on Debian Testing 
> 3.2.0-4-amd64. What does pFlowClust look for to choose serial or 
> parallel?
>
> I ask because on my lowly laptop the runtime for flowClust(dat, 
> K=1:10) prohibits sound troubleshooting for a flowFrame with 9 stains. 
> I would like to optimize the hardware I have access to, but I am 
> running out of ideas. Any thoughts?
>
> Much thanks,
> Kevin
>
Nevermind... I found 
http://www.findthatdoc.com/search-39323504-hPDF/download-documents-flowclustflowmergeslides-pdf.htm 
to keep me busy for a while... Thanks Greg!

Still, GPU computing would be a very nice option for the 
flowSuiteOfSoftwares. -k