Finding eigenvalues and eigenvectors of unsymmetric matrices using a distributed-memory multiprocessor (Q911226)
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scientific article; zbMATH DE number 4141403
| Language | Label | Description | Also known as |
|---|---|---|---|
| English | Finding eigenvalues and eigenvectors of unsymmetric matrices using a distributed-memory multiprocessor |
scientific article; zbMATH DE number 4141403 |
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Finding eigenvalues and eigenvectors of unsymmetric matrices using a distributed-memory multiprocessor (English)
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1990
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Here parallel versions are developed of the standard algorithms for computing eigenvalues and eigenvectors of an unsymmetric matrix. Various parallelized versions of the central QR algorithm have been tried, but they all show execution times (on an INTEL iPSC/2 hypercube) that are essentially independent of the number of processors used, i.e. there is no marked advantage of parallelism.
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distributed-memory multiprocessor
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timing results
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parallel computation
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eigenvalues
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eigenvectors
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unsymmetric matrix
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QR algorithm
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INTEL iPSC/2 hypercube
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