On the influence of programming models on shared memory computer performance

On the influence of programming models on shared memory computer performance

Experiments are presented indicating that on shared-memory machines, programs written in the nonshared-memory programming model generally offer better performance, in addition to being more portable and scalable. The authors study the LU decomposition problem and a molecular dynamics simulation on t...

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Hauptverfasser: Ngo, T.A., Snyder, L.
Format: Tagungsbericht
Sprache:eng
Schlagworte:
Analytical models
Computational modeling
Computer performance
Computer science
Concurrent computing
Costs
Dynamic programming
Jacobian matrices
Parallel programming
Performance analysis
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description Experiments are presented indicating that on shared-memory machines, programs written in the nonshared-memory programming model generally offer better performance, in addition to being more portable and scalable. The authors study the LU decomposition problem and a molecular dynamics simulation on three shared-memory machines with widely differing architectures, and analyze the results from three perspectives: performance, speedup, and scaling.< >
doi_str_mv 10.1109/SHPCC.1992.232630
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identifier ISBN: 9780818627750
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source IEEE Electronic Library (IEL) Conference Proceedings
subjects Analytical models
Computational modeling
Computer performance
Computer science
Concurrent computing
Costs
Dynamic programming
Jacobian matrices
Parallel programming
Performance analysis
title On the influence of programming models on shared memory computer performance
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