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Cluster Computing
Erschienen in: Cluster Computing 3/2013

01.09.2013

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

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

Erschienen in: Cluster Computing | Ausgabe 3/2013

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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.
Vorheriger Artikel Energy-efficient execution of dense linear algebra algorithms on multi-core processors
Nächster Artikel Finding scalable configurations for AEDB broadcasting protocol using multi-objective evolutionary algorithms

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Metadaten
Titel
Evaluating application performance and energy consumption on hybrid CPU+GPU architecture
verfasst von
Edson Luiz Padoin
Laércio Lima Pilla
Francieli Zanon Boito
Rodrigo Virote Kassick
Pedro Velho
Philippe O. A. Navaux
Publikationsdatum
01.09.2013
Verlag
Springer US
Erschienen in
Cluster Computing / Ausgabe 3/2013
Print ISSN: 1386-7857
Elektronische ISSN: 1573-7543
DOI
https://doi.org/10.1007/s10586-012-0219-6

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