NDLI: Profile driven partitioning of parallel simulation models

Content Provider	IEEE Xplore Digital Library
Author	Alt, AJ Wilsey, Philip A.
Copyright Year	2014
Description	Author affiliation: Dept of EECS, PO Box 210030, University of Cincinnati, OH 45221, USA (Alt, AJ; Wilsey, Philip A.)
Abstract	A considerable amount of research on parallel discrete event simulation has been conducted over the past few decades. However, most of this research has targeted the parallel simulation infrastructure; focusing on data structures, algorithms, and synchronization methods for parallel simulation kernels. Unfortunately, distributed environments often have high communication latencies that can reduce the potential performance of parallel simulations. Effective partitioning of the concurrent simulation objects of the real world models can have a large impact on the amount of network traffic necessary in the simulation, and consequently the overall performance. This paper presents our studies on profiling the characteristics of simulation models and using the collected data to perform partitioning of the models for concurrent execution. Our benchmarks show that Profile Guided Partitioning can result in dramatic performance gains in the parallel simulations. In some of the models, 5-fold improvements of the run time of the concurrently executed simulations were observed.
Starting Page	2750
Ending Page	2761
File Size	4282137
Page Count	12
File Format	PDF
e-ISBN	9781479974863
DOI	10.1109/WSC.2014.7020118
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2014-12-07
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Abstracts
Content Type	Text
Resource Type	Article

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