Towards Energy-Efficient Storage Servers
| Autor: | Edson Luiz Padoin, Philippe O. A. Navaux, Rodrigo Kassick, Jean Luca Bez, Jean-François Méhaut, Natália Rampon, Francieli Zanon Boito, Vinícius Machado, Amanda Braga, Julien Diaz |
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| Přispěvatelé: | Universidade Federal do Rio Grande do Sul [Porto Alegre] (UFRGS), Universidade Federal de Santa Catarina = Federal University of Santa Catarina [Florianópolis] (UFSC), Universidade Regional do Noroeste do Estado do Sul [Ijuí] (UNIJUI), Advanced 3D Numerical Modeling in Geophysics (Magique 3D), Laboratoire de Mathématiques et de leurs Applications [Pau] (LMAP), Université de Pau et des Pays de l'Adour (UPPA)-Centre National de la Recherche Scientifique (CNRS)-Université de Pau et des Pays de l'Adour (UPPA)-Centre National de la Recherche Scientifique (CNRS)-Inria Bordeaux - Sud-Ouest, Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria), Compiler Optimization and Run-time Systems (CORSE), Inria Grenoble - Rhône-Alpes, Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria)-Laboratoire d'Informatique de Grenoble (LIG ), Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP )-Centre National de la Recherche Scientifique (CNRS)-Université Grenoble Alpes [2016-2019] (UGA [2016-2019])-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP )-Centre National de la Recherche Scientifique (CNRS)-Université Grenoble Alpes [2016-2019] (UGA [2016-2019]), Sung Y. Shin, Dongwan Shin, Maria Lencastre, European Project: 689772,H2020 Pilier Industrial Leadership,H2020-EUB-2015,HPC4E(2015) |
| Jazyk: | angličtina |
| Rok vydání: | 2017 |
| Předmět: |
business.industry
Computer science 02 engineering and technology Supercomputer 7. Clean energy Field (computer science) Power (physics) high performance computing Power consumption 020204 information systems Server Embedded system 0202 electrical engineering electronic engineering information engineering Seismic wave propagation low-power processors ARM parallel file system 020201 artificial intelligence & image processing [INFO.INFO-DC]Computer Science [cs]/Distributed Parallel and Cluster Computing [cs.DC] business Energy (signal processing) energy efficiency Efficient energy use |
| Zdroj: | 32nd ACM Symposium on Applied Computing (SAC 2017) 32nd ACM Symposium on Applied Computing (SAC 2017), Sung Y. Shin, Apr 2017, Marrakesh, Morocco SAC |
| Popis: | International audience; As large-scale parallel platforms are deployed to comply with the increasing performance requirements of scientific applications, a new concern is getting the attention of the HPC community: the power consumption. In this paper, we aim at evaluating the viability of using low-power architectures as file systems servers in HPC environments, since processing power is of less importance for these servers. We present a performance and energy efficiency study of such low-power servers when compared to conventional architectures. Our results indicate that the low-power alternativecould be a viable choice to save energy by up to 85% while not compromising on performance, specially for read-intensivework-loads. We show the low-power server provides 7 times more energy efficiency to the system while running a real application from the seismic wave propagation field. |
| Databáze: | OpenAIRE |
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