Performance issues for parallel implementations of Bootstrap Simulation algorithm

Ricardo M. Czekster, Paulo Fernandes, Afonso Sales, Thais Webber

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

The solution of state-based stochastic models is usually a demanding application, then it is a natural subject to high performance techniques. We are particularly interested in the speedup of Bootstrap Simulation of structured Markovian models. This approach is a quite recent development in the performance evaluation area, and it brings a considerable improvement in the results accuracy, despite the intrinsic effect of randomness in simulation experiments. Unfortunately, Bootstrap Simulation has higher computational cost than other alternatives. We present experiments with different options to optimize the parallel solution of Bootstrap Simulation applied to three practical examples described in Stochastic Automata Networks (SAN) formalism. This paper contribution resides in the discussion of theoretical implementation issues, the obtained speedup and the actual processing and communication times for all experiments. Additionally, we also suggest future works to improve even more the proposed solution and we discuss some interesting insights for parallelization of similar applications.

Original languageEnglish
Title of host publicationProceedings - 22nd International Symposium on Computer Architecture and High Performance Computing, SBAC-PAD 2010
Pages167-174
Number of pages8
DOIs
Publication statusPublished - 2010
Event22nd International Symposium on Computer Architecture and High Performance Computing, SBAC-PAD 2010 - Petropolis, Brazil
Duration: 27 Oct 201030 Oct 2010

Publication series

NameProceedings - 22nd International Symposium on Computer Architecture and High Performance Computing, SBAC-PAD 2010

Conference

Conference22nd International Symposium on Computer Architecture and High Performance Computing, SBAC-PAD 2010
Country/TerritoryBrazil
CityPetropolis
Period27/10/1030/10/10

Keywords

  • Discrete-event simulation
  • Parallel applications
  • Performance evaluation
  • Stochastic modeling

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