Hi, When I try to increase the number of processors to solve the same matrix(to acquire the smallest eigenvalue) , I find all the results differ from each other within the 1e-5 scope (Though the ||Ax-kx||/||kx|| are all achieve 1e-8) . And the solve time are first decreasing then increasing. my question is (1) Is there anyway to make the result more constant (2) Does the time decreasing because the matrix dimension are too small for so many processors? Is there any way to reduce the solve time when increasing the number of processors?
Thank you! Runfeng matrix type MATSBAIJ matrix dimension 2078802 solver krylovschur blocksize 1 dimension of the subspace PETSC_DEFAULT number of eigenvalues 6 the maximum dimension allowed for the projected problem PETSC_DEFAULT -eps_non_hermitian number of processors result solve time 16 -302.06881196 526 32 -302.06881892 224 64 -302.06881989 139 128 -302.06881236 122 256 -302.06881938 285 512 -302.06881029 510 640 -302.06882377 291
