Experiments with Initial Transient Deletion for Parallel Replicated Steady-State Simulations

Abstract

A simple and effective way to exploit parallel processors in discrete event simulations is to run multiple independent replications, in parallel, on multiple processors and to average the results at the end of the runs. We call this the method of parallel replications. This paper is concerned with using the method of parallel replications for estimating steady-state performance measures. We report on the results of queueing estimators that can be formed using this method. The theoretical asymptotic properties of these estimators were determined in Glynn and Heidelberger (1989a and 1989b). Both the theory and the experimental results reported here strongly indicate that a nonstandard (in the context of steady-state simulation), yet easy to apply, estimator procedure is required on highly parallel machines. This nonstandard estimator is a ratio estimator. The experiments also show that use of the ratio estimator is advantageous even on machines with only a moderate degree of parallelism. (kr)

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Document Details

Document Type
Technical Report
Publication Date
May 01, 1990
Accession Number
ADA227879

Entities

People

  • Peter W. Glynn
  • Philip Heidelberger

Organizations

  • Stanford University

Tags

Communities of Interest

  • Energy and Power Technologies

DTIC Thesaurus Topics

  • Central Processing Units
  • Computers
  • Control Simulators
  • Covariance
  • Military Research
  • Network Simulation
  • Operations Research
  • Parallel Computing
  • Parallel Processing
  • Parallel Processors
  • Probability
  • Queueing Theory
  • Random Variables
  • Simulations
  • Simulators
  • Steady State
  • Stochastic Processes

Readers

  • Computer Science.
  • Mathematical Modeling and Probability Theory.
  • Regression Analysis.