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Evaluating application performance and energy consumption on hybrid CPU+GPU architecture

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Abstract

The High Performance Computing (HPC) community aimed for many years to increase performance regardless of energy consumption. Until the end of the decade, a next generation of HPC systems is expected to reach sustained performances of the order of exaflops. This requires many times more performance compared to the fastest supercomputers of today. Achieving this goal is unthinkable with current technology due to strict constraints on supplied power. Therefore, finding ways to improve energy efficiency become a main challenge on state-of-the-art research. The present paper investigates energy efficiency on heterogeneous CPU+GPU architectures using a scientific application from the agroforestry domain as a case-study. Differently from other works, our work evaluates how the workload of the application may affect energy efficiency on hybrid architectures. Results point out that the power supplier constraints depend also on the workload.

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Acknowledgements

This work was partially supported by several Brazilian research agencies: CNPq, CAPES, FAPERGS and FINEP. We would like to thank these agencies, their support made this work possible. We also would like to thank all persons of the Parallel and Distributed Processing Group (GPPD) at Federal University of Rio Grande do Sul (UFRGS), their help and expertise were of great value. This research has been partially supported by CAPES-BRAZIL under grants 5854/11-3 and 5847/11-7. Work developed on the context of the associated international laboratory between UFRGS and Université de Grenoble—LICIA.

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  1. Institute of Informatics, Federal University of Rio Grande do Sul (UFRGS), Porto Alegre, RS, Brazil

    Edson Luiz Padoin, Laércio Lima Pilla, Francieli Zanon Boito, Rodrigo Virote Kassick, Pedro Velho & Philippe O. A. Navaux

  2. Department of Exact Sciences and Engineering, Regional University of Northwest of Rio Grande do Sul (UNIJUI), Ijuí, RS, Brazil

    Edson Luiz Padoin

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  1. Edson Luiz Padoin
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Correspondence to Edson Luiz Padoin.

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Padoin, E.L., Pilla, L.L., Boito, F.Z. et al. Evaluating application performance and energy consumption on hybrid CPU+GPU architecture. Cluster Comput 16, 511–525 (2013). https://doi.org/10.1007/s10586-012-0219-6

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