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A New Parallel Benchmark for Performance Evaluation and Energy Consumption

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High Performance Computing for Computational Science – VECPAR 2018 (VECPAR 2018)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 11333))

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Abstract

This paper presents a new benchmark to evaluate performance and energy consumption of different Parallel Programming Interfaces (PPIs). The benchmark is composed of 11 algorithms implemented in PThreads, OpenMP, MPI-1 and MPI-2 (spawn) PPIs. Previous studies have used some of these applications to perform this type of evaluation in different architectures, since there is no benchmark that offers this variety of PPIs and communication models. In this work we measure the energy and performance of each application in a single architecture, varying the number of threads/processes. The goal is to show that this set of applications has enough features to form a parallel benchmark. The results show that there is no single best case that provides both better performance and low energy consumption in the presented scenarios. However, PThreads and OpenMP achieve the best trade-offs between performance and energy in most cases.

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Author information

Authors and Affiliations

  1. Laboratório de Estudos Avançados em Computação (LEA), Universidade Federal do Pampa (UNIPAMPA), Alegrete, Brazil

    Adriano Marques Garcia, Claudio Schepke, Alessandro Gonçalves Girardi & Sherlon Almeida da Silva

Authors
  1. Adriano Marques Garcia
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  2. Claudio Schepke
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  3. Alessandro Gonçalves Girardi
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  4. Sherlon Almeida da Silva
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Corresponding author

Correspondence to Adriano Marques Garcia .

Editor information

Editors and Affiliations

  1. Federal University of São Carlos, São Carlos, São Paulo, Brazil

    Hermes Senger

  2. Lawrence Berkeley National Laboratory, Berkeley, CA, USA

    Osni Marques

  3. Universidade Estadual Paulista Júlio de Mesquita Filho, Presidente Prudente, São Paulo, Brazil

    Rogerio Garcia

  4. Universidade Estadual Paulista Júlio de Mesquita Filho, São Paulo, São Paulo, Brazil

    Tatiana Pinheiro de Brito

  5. Universidade Estadual Paulista Júlio de Mesquita Filho, São Paulo, São Paulo, Brazil

    Rogério Iope

  6. Universidade Estadual Paulista Júlio de Mesquita Filho, São Paulo, São Paulo, Brazil

    Silvio Stanzani

  7. Universidad Nacional de San Luis, San Luis, Argentina

    Veronica Gil-Costa

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Garcia, A.M., Schepke, C., Girardi, A.G., da Silva, S.A. (2019). A New Parallel Benchmark for Performance Evaluation and Energy Consumption. In: Senger, H., et al. High Performance Computing for Computational Science – VECPAR 2018. VECPAR 2018. Lecture Notes in Computer Science(), vol 11333. Springer, Cham. https://doi.org/10.1007/978-3-030-15996-2_14

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  • DOI: https://doi.org/10.1007/978-3-030-15996-2_14

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-15995-5

  • Online ISBN: 978-3-030-15996-2

  • eBook Packages: Computer ScienceComputer Science (R0)

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