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ICA3PP
2005
Springer

Analytical Models of Probability Distributions for MPI Point-to-Point Communication Times on Distributed Memory Parallel Compute

14 years 6 months ago
Analytical Models of Probability Distributions for MPI Point-to-Point Communication Times on Distributed Memory Parallel Compute
Abstract. Measurement and modelling of distributions of data communication times is commonly done for telecommunication networks, but this has not previously been done for message passing communications on parallel computers. We have used the MPIBench program to measure distributions of point-to-point MPI communication times for two different parallel computers, with a low-end Ethernet network and a high-end Quadrics network respectively. Here we present and discuss the results of efforts to fit the measured distributions with standard probability distribution functions such as exponential, lognormal, Erlang, gamma, Pearson 5 and Weibull distributions.
Duncan A. Grove, Paul D. Coddington
Added 27 Jun 2010
Updated 27 Jun 2010
Type Conference
Year 2005
Where ICA3PP
Authors Duncan A. Grove, Paul D. Coddington
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