How to parallel for the computation of eigensystem of a sparse matrix

1 次查看(过去 30 天)
Hi everyone, I have a similarity matrix of image. It's symmetric, and sparse, large matrix. The computation of eigenvalues of this matrix takes too much time and memory. So I think parallelism of this computation will get better performance. But I don't know the way do that. Please give me any guide. Thanks!
  2 个评论
Jan
Jan 2012-4-26
Please post the code you are using and define "large" explicitly. Sometimes users of this forum use "large" for 20x20 matrices already.
HongTu Nguyen
HongTu Nguyen 2012-4-26
With image I(130, 132), the similarity matrix would be 17160x17160. It's too large, but I know it symmetric and sparse. So how to compute eigenvalues from this matrix fast?

请先登录,再进行评论。

回答(1 个)

Andrew Knyazev
Andrew Knyazev 2015-5-15
use SLEPc

类别

Help CenterFile Exchange 中查找有关 Linear Algebra 的更多信息

Community Treasure Hunt

Find the treasures in MATLAB Central and discover how the community can help you!

Start Hunting!

Translated by