A Performance and Scalability Analysis Framework for Parallel Discrete Event Simulators

A Performance and Scalability Analysis Framework for Parallel Discrete Event Simulators (1992)

Cached

Download Links

[www.ece.uc.edu]

Other Repositories/Bibliography

DBLP

by Vijay Balakrishnan , Radharamanan Radhakrishnan , Dhananjai Madhava Rao , Nael Abu-Ghazaleh , Philip A. Wilsey

Venue:	J. Cryptology
Citations:	1 - 0 self

Versions

Version History

Metadata Version 3

User correction supplied by mph

Datum	Value	Source
TITLE	A Performance and Scalability Analysis Framework for Parallel Discrete Event Simulators	user correction
AUTHOR NAME	Vijay Balakrishnan	user correction
AUTHOR AFFIL	University of Cincinnati, Experimental Computing Laboratory, Dept. of ECECS	user correction
AUTHOR ADDR	PO Box 210030, Cincinnati OH 45221-0030	user correction
AUTHOR NAME	Radharamanan Radhakrishnan	user correction
AUTHOR AFFIL	University of Cincinnati, Experimental Computing Laboratory, Dept. of ECECS	user correction
AUTHOR ADDR	PO Box 210030, Cincinnati OH 45221-0030	user correction
AUTHOR NAME	Dhananjai Madhava Rao	user correction
AUTHOR AFFIL	University of Cincinnati, Experimental Computing Laboratory, Dept. of ECECS	user correction
AUTHOR ADDR	PO Box 210030, Cincinnati OH 45221-0030	user correction
AUTHOR NAME	Nael Abu-Ghazaleh	user correction
AUTHOR AFFIL	University of Cincinnati, Experimental Computing Laboratory, Dept. of ECECS	user correction
AUTHOR ADDR	PO Box 210030, Cincinnati OH 45221-0030	user correction
AUTHOR NAME	Philip A. Wilsey	user correction
AUTHOR AFFIL	University of Cincinnati, Experimental Computing Laboratory, Dept. of ECECS	user correction
AUTHOR ADDR	PO Box 210030, Cincinnati OH 45221-0030	user correction
ABSTRACT	The development of efficient parallel discrete event simulators is hampered by the large number of interrelated factors affecting performance. This problem is made more difficult by the lack of scalable representative models that can be used to analyze optimizations and isolate bottlenecks. This paper proposes a performance and scalabilty analysis framework (PSAF) for parallel discrete event simulators. PSAF is built on a platform-independent workload specification language (WSL). WSL is a language that represents simulation models using a set of fundamental performance-critical parameters. For each simulator under study, a WSL translator generates synthetic platform-specific simulation models that conform to the performance and scalability characteristics specified by the WSL description. Moreover, sets of portable simulation models that explore the effects of the different parameters, individually or collectively, on the execution performance can easily be constructed using the synthetic workload generator (SWG). The SWG automatically generates simulation workloads with different performance properties. In addition, PSAF supports the seamless integration of real simulation models into the workload specification. Thus, a benchmark with both real and synthetically generated models can be built allowing for realistic and thorough exploration of the performance space. The utility of PSAF in determining the boundaries of performance and scalability of simulation environments and models is demonstrated.	user correction
YEAR	1992	INFERENCE
VENUE	J. Cryptology	INFERENCE
VENUE TYPE	JOURNAL	INFERENCE
VOLUME	5	INFERENCE
CITATIONS	42 found	ParsCit 1.0