Hi Everyone,
I need to run a large series of sparse real symmetric matrix diagonalizations (matrix size up to 1M by 1M, but very sparse and I only need the first 200 eigenvectors/values at most) for a quantum computing project, and I'd like to write the code in Python and call ViennaCL for the heavy lifting. My workstation is a dual 8 core Haswell Xeon with 64 GB of RAM and an AMD W8100 graphics card, all running Ubuntu 14.04. My question is, within PyViennaCL, is it possible to choose which resource (the two CPUs or the GPU) does the calculation? My guess is that the CPUS will probably be much faster, but the GPU has much higher theoretical max DP output. Thanks, Eliot
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