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

HongTu Nguyen

2012 4 26

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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!

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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 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?

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