search

marekandreas / elpa

A scalable eigensolver for dense, symmetric (hermitian) matrices (fork of https://gitlab.mpcdf.mpg.de/elpa/elpa.git)
Other
27 stars 13 forks source link

Benchmarking eigen vector computation #12

Closed eric-haibin-lin closed 2 years ago

eric-haibin-lin commented 2 years ago

I'm interested in benchmarking elpa's performance on computing the eigen vector of a matrix. I assume this (https://github.com/marekandreas/elpa/blob/master/python/examples/example.py) is the hello world program I should start with? If I want to use GPU, how do I modify this program for cuda matrix input? Thanks!

eric-haibin-lin commented 2 years ago

We're able to run example.py successfully. Now we're looking into how to run test/C/test.c...

marekandreas commented 2 years ago

When you build ELPA yourself, "make check" will compile all the test programs for you.