Prediction of parallel NIKE3D performance on the KSR1 system

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Finite element method is one of the bases for numerical solutions to engineering problems. Complex engineering problems using finite element analysis typically imply excessively large computational time. Parallel supercomputers have the potential for significantly increasing calculation speeds in order to meet these computational requirements. This paper predicts parallel NIKE3D performance on the Kendall Square Research (KSR1) system. The first part of the prediction is based on the implementation of parallel Cholesky (U{sup T}DU) matrix decomposition algorithm through actual computations on the KSRI multiprocessor system, with 64 processors, at Oak Ridge National Laboratory. The other predictions are based on actual computations ... continued below

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14 p.

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Su, P. S.; Zacharia, T. & Fulton, R. E. May 1, 1995.

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  • Su, P. S.
  • Zacharia, T. Oak Ridge National Lab., TN (United States)
  • Fulton, R. E. Georgia Inst. of Technology, Atlanta, GA (United States). School of Mechanical Engineering

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Description

Finite element method is one of the bases for numerical solutions to engineering problems. Complex engineering problems using finite element analysis typically imply excessively large computational time. Parallel supercomputers have the potential for significantly increasing calculation speeds in order to meet these computational requirements. This paper predicts parallel NIKE3D performance on the Kendall Square Research (KSR1) system. The first part of the prediction is based on the implementation of parallel Cholesky (U{sup T}DU) matrix decomposition algorithm through actual computations on the KSRI multiprocessor system, with 64 processors, at Oak Ridge National Laboratory. The other predictions are based on actual computations for parallel element matrix generation, parallel global stiffness matrix assembly, and parallel forward/backward substitution on the BBN TC2000 multiprocessor system at Lawrence Livermore National Laboratory. The preliminary results indicate that parallel NIKE3D performance can be attractive under local/shared-memory multiprocessor system environments.

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14 p.

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OSTI as DE95014486

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  • Other Information: PBD: May 1995

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  • Other: DE95014486
  • Report No.: ORNL/TM--12732
  • Grant Number: AC05-84OR21400
  • DOI: 10.2172/86297 | External Link
  • Office of Scientific & Technical Information Report Number: 86297
  • Archival Resource Key: ark:/67531/metadc794139

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Creation Date

  • May 1, 1995

Added to The UNT Digital Library

  • Dec. 19, 2015, 7:14 p.m.

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  • Oct. 3, 2017, 1:06 p.m.

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Su, P. S.; Zacharia, T. & Fulton, R. E. Prediction of parallel NIKE3D performance on the KSR1 system, report, May 1, 1995; Tennessee. (digital.library.unt.edu/ark:/67531/metadc794139/: accessed June 19, 2018), University of North Texas Libraries, Digital Library, digital.library.unt.edu; crediting UNT Libraries Government Documents Department.