[petsc-users] [SLEPc] Krylov-Schur convergence
Ale Foggia
amfoggia at gmail.com
Tue Nov 13 03:58:25 CST 2018
Hello,
I'm using SLEPc to get the smallest real eigenvalue (EPS_SMALLEST_REAL) of
a Hermitian problem (EPS_HEP). The linear size of the matrices I'm solving
is around 10**9 elements and they are sparse. I've asked a few questions
before regarding the same problem setting and you suggested me to use
Krylov-Schur (because I was using Lanczos). I tried KS and up to a certain
matrix size the convergence (relative to the eigenvalue) is good, it's
around 10**-9, like with Lanczos, but when I increase the size I start
getting the eigenvalue with only 3 correct digits. I've used the options:
-eps_tol 1e-9 -eps_mpd 100 (16 was the default), but the only thing I got
is one more eigenvalue with the same big error, and the iterations
performed were only 2. Why didn't it do more in order to reach the
convergence? Should I set other parameters? I don't know how to work out
this problem, can you help me with this please? I send the -eps_view output
and the eigenvalues with its errors:
EPS Object: 2048 MPI processes
type: krylovschur
50% of basis vectors kept after restart
using the locking variant
problem type: symmetric eigenvalue problem
selected portion of the spectrum: smallest real parts
number of eigenvalues (nev): 1
number of column vectors (ncv): 101
maximum dimension of projected problem (mpd): 100
maximum number of iterations: 46210024
tolerance: 1e-09
convergence test: relative to the eigenvalue
BV Object: 2048 MPI processes
type: svec
102 columns of global length 2333606220
vector orthogonalization method: classical Gram-Schmidt
orthogonalization refinement: if needed (eta: 0.7071)
block orthogonalization method: GS
doing matmult as a single matrix-matrix product
DS Object: 2048 MPI processes
type: hep
parallel operation mode: REDUNDANT
solving the problem with: Implicit QR method (_steqr)
ST Object: 2048 MPI processes
type: shift
shift: 0.
number of matrices: 1
k ||Ax-kx||/||kx||
----------------- ------------------
-15.093051 0.00323917 (with KS)
-15.087320 0.00265215 (with KS)
-15.048025 8.67204e-09 (with Lanczos)
Iterations performed 2
Ale
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