Dominic Meiser <[email protected]> writes: > This approach has worked fairly well for me. I have a workstation with > 32GB of memory and 500GB on two SSD's in raid 0 configuration. The > out-of-core files for the matrix I was trying to factor are about 300GB > and the numerical factorization takes approximately 4hours. No idea how > this compares to the performance one would get on a workstation that > can fit the factors in ram. Perhaps not too big of a difference during > the factorization but a faster solve?
Run it on 5 nodes of Edison and see. I bet efficiency is pretty similar during both factorization and solve. If your matrix is big enough to fill memory, all the dense operations should scale well. (Dense LA parallelism is hard for small problem sizes.)
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