calculate k smallest eigenvalues using LOBPCG

Open discussion for MAGMA library (Matrix Algebra on GPU and Multicore Architectures)
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zsy12
Posts: 1
Joined: Wed Nov 28, 2018 10:05 am

calculate k smallest eigenvalues using LOBPCG

Post by zsy12 » Wed Nov 28, 2018 11:19 am

Dear all,

I want to calculate k smallest eigenvalues of a large sparse matrix (1e6*1e6), and the only solver I can find to finish this task is LOBPCG from MAGMA, which can solve the largest and smallest eigenvalues. However, I couldn't find some certain parameter to determine to solve whether largest or smallest k eigenvalues. Could you please tell me how to set parameters to calculate only k smallest eigenvalues of a large sparse matrix? I know that num_eigenvaluses in solver_par is the k number of EV for eigensovers, but I didn't find documation about sparse precond_par parameters. Is there some parameters that I didn't notice?

Best regards,
Shiyun

blattms
Posts: 6
Joined: Wed Oct 10, 2018 3:36 am

Re: calculate k smallest eigenvalues using LOBPCG

Post by blattms » Tue Feb 19, 2019 9:24 am

According to viewtopic.php?f=2&t=1266&p=3677&hilit=l ... 483a#p3677 it calculates the smallest eigenvalues. The thread also explains how to trick it into computing the largest ones.

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