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International Conference on Vector and Parallel Processing

VECPAR 2016: High Performance Computing for Computational Science – VECPAR 2016 pp 7–10Cite as

Analysis of High Performance Applications Using Workload Requirements

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Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 10150))

Abstract

This short paper proposes two novel methodologies for analyzing scientific applications in distributed environments, using workload requirements. The first explores the impact of features such as problem size and programming language, over different computational architectures. The second explores the impact of mapping virtual cluster resources on the performance of parallel applications.

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References

  1. Asanovic, K., Bodik, R., Demmel, J., Keaveny, T., Keutzer, K., Kubiatowicz, J., Morgan, N., Patterson, D., Sen, K., Wawrzynek, J., Wessel, D., Yelick, K.: A view of the parallel computing landscape. Commun. ACM 52(10), 56–67 (2009). http://doi.acm.org/10.1145/1562764.1562783

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  4. Mc Evoy, G., Porto, F., Schulze, B.: A representation model for virtual machine allocation. In: International Workshop on Clouds and (eScience) Applications Management - CloudAM 2012. 2012 IEEE/ACM Fifth International Conference on Utility and Cloud Computing (2012)

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Author information

Authors and Affiliations

  1. National Laboratory of Scientific Computing, Petrópolis, Brazil

    Mariza Ferro, Giacomo Mc Evoy & Bruno Schulze

Authors
  1. Mariza Ferro
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  2. Giacomo Mc Evoy
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  3. Bruno Schulze
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Corresponding author

Correspondence to Mariza Ferro .

Editor information

Editors and Affiliations

  1. University of Porto, Porto, Portugal

    Inês Dutra

  2. University of Porto, Porto, Portugal

    Rui Camacho

  3. University of Porto, Porto, Portugal

    Jorge Barbosa

  4. Lawrence Berkeley National Laboratory, Berkeley, California, USA

    Osni Marques

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Cite this paper

Ferro, M., Mc Evoy, G., Schulze, B. (2017). Analysis of High Performance Applications Using Workload Requirements. In: Dutra, I., Camacho, R., Barbosa, J., Marques, O. (eds) High Performance Computing for Computational Science – VECPAR 2016. VECPAR 2016. Lecture Notes in Computer Science(), vol 10150. Springer, Cham. https://doi.org/10.1007/978-3-319-61982-8_2

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  • DOI: https://doi.org/10.1007/978-3-319-61982-8_2

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-61981-1

  • Online ISBN: 978-3-319-61982-8

  • eBook Packages: Computer ScienceComputer Science (R0)

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