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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Bibliographische Detailangaben
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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Beschreibung
Zusammenfassung: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:10.1109/SHPCC.1992.232630