Parallel PEPS tool performance analysis using stochastic automata networks

Lucas Baldo; Luiz Gustavo Fernandes; Paulo Roisenberg; Pedro Velho; Thais Webber

doi:10.1007/978-3-540-27866-5_27

Parallel PEPS tool performance analysis using stochastic automata networks

Lucas Baldo^*, Luiz Gustavo Fernandes, Paulo Roisenberg, Pedro Velho, Thais Webber

^*Corresponding author for this work

School of Computer Science

Research output: Chapter in Book/Report/Conference proceeding › Chapter

5 Citations (Scopus)

Abstract

This paper presents a theoretical performance analysis of a parallel implementation of a tool called Performance Evaluation for Parallel Systems (PEPS). This software tool is used to analyze Stochastic Automata Networks (SAN) models. In its sequential version, the execution time becomes impracticable when analyzing large SAN models. A parallel version of PEPS using distributed memory is proposed and modelled with SAN formalism. After, the sequential PEPS itself is applied to predict the performance of this model.

Original language	English
Title of host publication	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Editors	Marco Danelutto, Marco Vanneschi, Domenico Laforenza
Publisher	Springer-Verlag
Pages	214-219
Number of pages	6
ISBN (Print)	3540229248
DOIs	https://doi.org/10.1007/978-3-540-27866-5_27
Publication status	Published - 2004

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	3149
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

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10.1007/978-3-540-27866-5_27

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Baldo, L., Fernandes, L. G., Roisenberg, P., Velho, P., & Webber, T. (2004). Parallel PEPS tool performance analysis using stochastic automata networks. In M. Danelutto, M. Vanneschi, & D. Laforenza (Eds.), Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (pp. 214-219). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 3149). Springer-Verlag. https://doi.org/10.1007/978-3-540-27866-5_27

Baldo, Lucas ; Fernandes, Luiz Gustavo ; Roisenberg, Paulo et al. / Parallel PEPS tool performance analysis using stochastic automata networks. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). editor / Marco Danelutto ; Marco Vanneschi ; Domenico Laforenza. Springer-Verlag, 2004. pp. 214-219 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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abstract = "This paper presents a theoretical performance analysis of a parallel implementation of a tool called Performance Evaluation for Parallel Systems (PEPS). This software tool is used to analyze Stochastic Automata Networks (SAN) models. In its sequential version, the execution time becomes impracticable when analyzing large SAN models. A parallel version of PEPS using distributed memory is proposed and modelled with SAN formalism. After, the sequential PEPS itself is applied to predict the performance of this model.",

author = "Lucas Baldo and Fernandes, {Luiz Gustavo} and Paulo Roisenberg and Pedro Velho and Thais Webber",

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Baldo, L, Fernandes, LG, Roisenberg, P, Velho, P & Webber, T 2004, Parallel PEPS tool performance analysis using stochastic automata networks. in M Danelutto, M Vanneschi & D Laforenza (eds), Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 3149, Springer-Verlag, pp. 214-219. https://doi.org/10.1007/978-3-540-27866-5_27

Parallel PEPS tool performance analysis using stochastic automata networks. / Baldo, Lucas; Fernandes, Luiz Gustavo; Roisenberg, Paulo et al.
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). ed. / Marco Danelutto; Marco Vanneschi; Domenico Laforenza. Springer-Verlag, 2004. p. 214-219 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 3149).

Research output: Chapter in Book/Report/Conference proceeding › Chapter

TY - CHAP

T1 - Parallel PEPS tool performance analysis using stochastic automata networks

AU - Baldo, Lucas

AU - Fernandes, Luiz Gustavo

AU - Roisenberg, Paulo

AU - Velho, Pedro

AU - Webber, Thais

PY - 2004

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AB - This paper presents a theoretical performance analysis of a parallel implementation of a tool called Performance Evaluation for Parallel Systems (PEPS). This software tool is used to analyze Stochastic Automata Networks (SAN) models. In its sequential version, the execution time becomes impracticable when analyzing large SAN models. A parallel version of PEPS using distributed memory is proposed and modelled with SAN formalism. After, the sequential PEPS itself is applied to predict the performance of this model.

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DO - 10.1007/978-3-540-27866-5_27

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SN - 3540229248

T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

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BT - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

A2 - Danelutto, Marco

A2 - Vanneschi, Marco

A2 - Laforenza, Domenico

PB - Springer-Verlag

ER -

Baldo L, Fernandes LG, Roisenberg P, Velho P, Webber T. Parallel PEPS tool performance analysis using stochastic automata networks. In Danelutto M, Vanneschi M, Laforenza D, editors, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Springer-Verlag. 2004. p. 214-219. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-540-27866-5_27

Parallel PEPS tool performance analysis using stochastic automata networks

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