Optimal eigenvalue computation on a mesh multiprocessor

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In this paper, we compare the costs of computing a single eigenvalue of a symmetric tridiagonal matrix by serial bisection and by parallel multisection on a mesh multiprocessor. We show how the optimal method for computing one eigenvalue depends on such variables as the matrix order and parameters of the multiprocessor used. We present the results of experiments on the 520-processor Intel Touchstone Delta to support our analysis.

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4 p.

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Crivelli, S. & Jessup, E.R. December 31, 1993.

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Description

In this paper, we compare the costs of computing a single eigenvalue of a symmetric tridiagonal matrix by serial bisection and by parallel multisection on a mesh multiprocessor. We show how the optimal method for computing one eigenvalue depends on such variables as the matrix order and parameters of the multiprocessor used. We present the results of experiments on the 520-processor Intel Touchstone Delta to support our analysis.

Physical Description

4 p.

Notes

OSTI as DE96003074

Medium: P; Size: 4 p.

Source

  • 6. Society for Industrial and Applied Mathematics (SIAM) conference on parallel processing for scientific computing, Norfolk, VA (United States), 21-24 Mar 1993

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  • Other: DE96003074
  • Report No.: CONF-930331--17
  • Grant Number: FG02-92ER25122
  • Office of Scientific & Technical Information Report Number: 149850
  • Archival Resource Key: ark:/67531/metadc623819

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Office of Scientific & Technical Information Technical Reports

Reports, articles and other documents harvested from the Office of Scientific and Technical Information.

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Creation Date

  • December 31, 1993

Added to The UNT Digital Library

  • June 16, 2015, 7:43 a.m.

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  • April 13, 2017, 12:22 p.m.

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Crivelli, S. & Jessup, E.R. Optimal eigenvalue computation on a mesh multiprocessor, article, December 31, 1993; United States. (digital.library.unt.edu/ark:/67531/metadc623819/: accessed November 23, 2017), University of North Texas Libraries, Digital Library, digital.library.unt.edu; crediting UNT Libraries Government Documents Department.