[petsc-users] Benchmarking

[Vijay Gopal Chilkuri]

Dear developers,

I'm doing exact diagonalization studies of some phenomenological model
Hamiltonian. In this study I have to diagonalize large sparse matrices in
Hilbert space of Slater determinants many times.

I've successfully used PETSc + SLEPc to get few smallest eigenvalues.
For example I've been able to diagonalize a matrix of rank *91454220* with
990 processors. This diagonalization took *15328.695847 *Sec (or *4.25*
Hrs.)

I have two questions:

1. Is this time reasonable, if not, is it possible to optimize further ?

2. I've tried a quick google search but could not find a comprehensive
benchmarking of the SLEPc library for sparse matrix diagonalization. Could
you point me to a publication/resource which has such a benchmarking ?

Thanks for your help.

PETSc Version: master branch commit: b33322e
SLEPc Version: master branch commit: c596d1c

Best,
 Vijay
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