research-article

Energy-efficient cluster computing with FAWN: workloads and implications

Authors:

Vijay Vasudevan,

David Andersen,

Michael Kaminsky,

Jason Franklin,

Iulian MoraruAuthors Info & Claims

e-Energy '10: Proceedings of the 1st International Conference on Energy-Efficient Computing and Networking

Pages 195 - 204

https://doi.org/10.1145/1791314.1791347

Published: 13 April 2010 Publication History

Abstract

This paper presents the architecture and motivation for a cluster-based, many-core computing architecture for energy-efficient, data-intensive computing. FAWN, a Fast Array of Wimpy Nodes, consists of a large number of slower but efficient nodes coupled with low-power storage. We present the computing trends that motivate a FAWN-like approach, for CPU, memory, and storage. We follow with a set of microbenchmarks to explore under what workloads these "wimpy nodes" perform well (or perform poorly). We conclude with an outline of the longer-term implications of FAWN that lead us to select a tightly integrated stacked chip-and-memory architecture for future FAWN development.

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Cited By

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Energy-efficient cluster computing with FAWN: workloads and implications

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cover image ACM Other conferences

e-Energy '10: Proceedings of the 1st International Conference on Energy-Efficient Computing and Networking

April 2010

239 pages

ISBN:9781450300421

DOI:10.1145/1791314

General Chairs:
Randy Katz
UC Berkeley
,
David Hutchison
Lancaster University, U.K.

Copyright © 2010 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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New York, NY, United States

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Published: 13 April 2010

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Division of Computer and Network Systems

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e-Energy '10

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e-Energy '10: 1st Int'l Conf. on Energy-Efficient Computing and Networking

April 13 - 15, 2010

Passau, Germany

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Cited By

Bharany SSharma SKhalaf OAbdulsahib GAl Humaimeedy AAldhyani TMaashi MAlkahtani H(2022)A Systematic Survey on Energy-Efficient Techniques in Sustainable Cloud ComputingSustainability10.3390/su1410625614:10(6256)Online publication date: 20-May-2022
https://doi.org/10.3390/su14106256
Guo BYu JYang DLeng HLiao B(2022)Energy-Efficient Database Systems: A Systematic SurveyACM Computing Surveys10.1145/353822555:6(1-53)Online publication date: 7-Dec-2022
https://dl.acm.org/doi/10.1145/3538225
Ahmed MAhmed W(2021)State-of-the-Art Power Management TechniquesProceedings of Second Doctoral Symposium on Computational Intelligence10.1007/978-981-16-3346-1_18(223-236)Online publication date: 20-Sep-2021
https://doi.org/10.1007/978-981-16-3346-1_18
You XLv XZhao ZHan JRen X(2020)A Survey and Taxonomy on Energy-Aware Data Management Strategies in Cloud EnvironmentIEEE Access10.1109/ACCESS.2020.29927488(94279-94293)Online publication date: 2020
https://doi.org/10.1109/ACCESS.2020.2992748
Olivier PMehrab ALankes SKaraoui MLyerly RRavindran BWeissman JButt ASmirni E(2019)HEXOProceedings of the 28th International Symposium on High-Performance Parallel and Distributed Computing10.1145/3307681.3325408(85-96)Online publication date: 17-Jun-2019
https://dl.acm.org/doi/10.1145/3307681.3325408
Armejach ACasas MMoretó M(2019)Design trade-offs for emerging HPC processors based on mobile market technologyThe Journal of Supercomputing10.1007/s11227-019-02819-4Online publication date: 23-Mar-2019
https://doi.org/10.1007/s11227-019-02819-4
Kaushal SGogia DKumar B(2018)Recent Trends in Green Cloud ComputingProceedings of 2nd International Conference on Communication, Computing and Networking10.1007/978-981-13-1217-5_93(947-956)Online publication date: 8-Sep-2018
https://doi.org/10.1007/978-981-13-1217-5_93
You XLi YZheng MZhu CYu L(2017)A Survey and Taxonomy of Energy Efficiency Relevant Surveys in Cloud-Related EnvironmentsIEEE Access10.1109/ACCESS.2017.27180015(14066-14078)Online publication date: 2017
https://doi.org/10.1109/ACCESS.2017.2718001
Rajovic NRico AMantovani FRuiz DVilarrubi JGomez CBackes LNieto DServat HMartorell XLabarta JAyguade EAdeniyi-Jones CDerradji SGloaguen HLanucara PSanna NMehaut JPouget KVideau BBoyer EAllalen MAuweter ABrayford DTafani DWeinberg VBrömmel DHalver RMeinke JBeivide RBenito MVallejo EValero MRamirez AWest J(2016)The mont-blanc prototypeProceedings of the International Conference for High Performance Computing, Networking, Storage and Analysis10.5555/3014904.3014955(1-12)Online publication date: 13-Nov-2016
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Zhao YLi SHu SWang HYao SShao HAbdelzaher T(2016)An experimental evaluation of datacenter workloads on low-power embedded micro serversProceedings of the VLDB Endowment10.14778/2947618.29476259:9(696-707)Online publication date: 1-May-2016
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