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

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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!
Jan on 26 Apr 2012
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 on 26 Apr 2012
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?

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Answers (1)

Andrew Knyazev
Andrew Knyazev on 15 May 2015
use SLEPc


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