Question about CULA's SVD before I spend money

[whao]

I just wanna understand the product better before I spend money/time on CUDA. Hope no one minds answering this question.

I'm curious as to the exact nature of the SVD function in CULA. Is it a specialized algorithm that uses all the processors to perform a single PCA, or is it just a version of SGESVD for each individual processor. I'm intending to do a lot of small SVDs. If it is the latter case, then I suspect I'll get working on a CUDA+CULA implementation right away .

[kyle]

Is it a specialized algorithm that uses all the processors to perform a single PCA, or is it just a version of SGESVD for each individual processor.

The implementation in CULA is used to process a single, typically large, PCA.

For more information about "burst" or "batch" modes, refer to some questions we've answered in others forum and blog posts.

Forum on burst Eigenvales: viewtopic.php?f=15&t=975
Blog on batch modes: http://www.culatools.com/blog/2011/12/0 ... perations/