Gesvdj vs gesvda vs syevj for finding eigenvalues/singular values

Hi, my application needs to compute singular values of several hundred 30x30 matrices concurrently, in periodic batches. I am prioritizing speed/throughput over accuracy - I was wondering which one I should explore using.

Does anyone have any resources/experience for comparing the three? Am I missing any options?

this may be of interest. There may be no particular application to the batched functions, however.

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