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Parallel Computing
Article . 1988 . Peer-reviewed
License: Elsevier TDM
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image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
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Towards the construction of an eigenvalue engine

Authors: Clint, M.; Roantree, D.; Stewart, Henry;

Towards the construction of an eigenvalue engine

Abstract

This paper presents a new algorithm for the computation of the eigenvalues of real symmetric matrices. The concurrent implementation is described and the algorithm is expressed in terms of a collection of communicating processes. This implementation is suitable for distributed systems, like transputers, network of transputers, multiprocessor supercomputers or sets of interconnected SIMD machines.

Country
United Kingdom
Related Organizations
Keywords

Numerical computation of eigenvalues and eigenvectors of matrices, distributed systems, multiprocessor supercomputers, algorithm, network of transputers, eigenvalues, Parallel numerical computation, implementation, real symmetric matrices

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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
5
Average
Top 10%
Average
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