research-article

Experiences with mobile processors for energy efficient HPC

Authors:

Nikola Rajovic,

Alejandro Rico,

Nikola Puzovic,

Alex RamirezAuthors Info & Claims

DATE '13: Proceedings of the Conference on Design, Automation and Test in Europe

Pages 464 - 468

Published: 18 March 2013 Publication History

Abstract

The performance of High Performance Computing (HPC) systems is already limited by their power consumption. The majority of top HPC systems today are built from commodity server components that were designed for maximizing the compute performance. The Mont-Blanc project aims at using low-power parts from the mobile domain for HPC.

In this paper we present our first experiences with the use of mobile processors and accelerators for the HPC domain based on the research that was performed in the project. We show initial evaluation of NVIDIA Tegra 2 and Tegra 3 mobile SoCs and the NVIDIA Quadro 1000M GPU with a set of HPC microbenchmarks to evaluate their potential for energy-efficient HPC.

References

[1]

"TOP500: TOP 500 Supercomputer Sites," http://www.top500.org.

[2]

"The Green 500 List," http://www.green500.org.

[3]

K. Bergman et al., "Exascale Computing Study: Technology Challenges in Achieving Exascale Systems," in DARPA Technical Report, 2008.

[4]

"The MontBlanc project," http://montblanc-project.eu.

[5]

NVIDIA, "The Benefits of Multiple CPU Cores in Mobile Devices," White Paper, 2010.

[6]

ARM Ltd., "Cortex-A9 Processor," http://www.arm.com/products/processors/cortex-a/cortex-a9.php.

[7]

SECO, "SECOCQ7-MXM," http://www.seco.com/en/item/secocq7-mxm.

[8]

SECO, "QuadMo747-X/T20 - Qseven® Rel.1.20 Compliant Module based on NVIDIA® Tegra® T20 Processor," http://www.seco.com/en/item/quadmo747-x_t20.

[9]

NVIDIA, "CARMA - CUDA® Development Kit For ARM®," http://www.nvidia.com/object/carma- devkit.html, 2012.

[10]

NVIDIA, Variable SMP (4-PLUS-1#8482;) -- A Multi-Core CPU Architecture for Low Power and High Performance," White Paper, 2011.

[11]

A. Duran et al., "OmpSs: A Proposal for Programming Heterogeneous Multi-Core Architectures," Parallel Processing Letters, vol. 21, no. 02, pp. 173--193, 2011.

[12]

NVIDIA, "Compute Unified Device Architecture Programming Guide," 2007.

[13]

N. Rajovic, L. Vilanova, C. Villavieja, N. Puzovic, and A. Ramirez, "The Low Power Architecture Approach Towards Exascale Computing," Journal of Computational Science, To Appear.

[14]

J. Turley, "Cortex-A15 "Eagle" flies the coop," Microprocessor Report, vol. 24, no. 11, pp. 1--11, Nov. 2010.

[15]

ARM Ltd., "Mali Graphics," http://www.arm.com/products/multimedia/mali-graphics-hardware/index.php.

Cited By

Oyarzun GBorrell RGorobets AMantovani FOliva A(2018)Efficient CFD code implementation for the ARM-based Mont-Blanc architectureFuture Generation Computer Systems10.1016/j.future.2017.09.02979:P3(786-796)Online publication date: 1-Feb-2018
https://dl.acm.org/doi/10.1016/j.future.2017.09.029
Capodieci NCavicchioli RValente PBertogna MBini EPagetti C(2017)SiGAMMAProceedings of the 25th International Conference on Real-Time Networks and Systems10.1145/3139258.3139270(48-57)Online publication date: 4-Oct-2017
https://dl.acm.org/doi/10.1145/3139258.3139270
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
https://dl.acm.org/doi/10.5555/3014904.3014955
Show More Cited By

Index Terms

Experiences with mobile processors for energy efficient HPC

Recommendations

Energy Efficient HPC on Embedded SoCs: Optimization Techniques for Mali GPU
IPDPS '14: Proceedings of the 2014 IEEE 28th International Parallel and Distributed Processing Symposium

A lot of effort from academia and industry has been invested in exploring the suitability of low-power embedded technologies for HPC. Although state-of-the-art embedded systems-on-chip (SoCs) inherently contain GPUs that could be used for HPC, their ...
Trigeneous Platforms for Energy Efficient Computing of HPC Applications
HIPC '15: Proceedings of the 2015 IEEE 22nd International Conference on High Performance Computing (HiPC)

In this paper, we present two novel real-time heterogeneous platforms with three kinds of devices (CPU, GPU, FPGA), i.e. trigeneous platforms, for efficiently accelerating computation intensive applications in both the high-performance computing and the ...
Coordinated energy management in heterogeneous processors
SC13 --The International Conference for High Performance Computing, Networking, Storage and Analysis

This paper examines energy management in a heterogeneous processor consisting of an integrated CPU--GPU for high-performance computing HPC applications. Energy management for HPC applications is challenged by their uncompromising performance ...

Comments

Please enable JavaScript to view thecomments powered by Disqus.

Information & Contributors

Information

Published In

cover image ACM Conferences

DATE '13: Proceedings of the Conference on Design, Automation and Test in Europe

March 2013

1944 pages

ISBN:9781450321532

General Chair:
Enrico Macii
Politecnico di Torino, IT

Sponsors

EDAA: European Design Automation Association
ECSI
EDAC: Electronic Design Automation Consortium
SIGDA: ACM Special Interest Group on Design Automation
IEEE CEDA
The Russian Academy of Sciences: The Russian Academy of Sciences

Publisher

EDA Consortium

San Jose, CA, United States

Publication History

Published: 18 March 2013

Check for updates

Qualifiers

Research-article

Conference

DATE 13

Sponsor:

EDAA
EDAC
SIGDA
The Russian Academy of Sciences

DATE 13: Design, Automation and Test in Europe

March 18 - 22, 2013

Grenoble, France

Acceptance Rates

Overall Acceptance Rate 518 of 1,794 submissions, 29%

Upcoming Conference

DATE '25

Sponsor:
sigda

Design, Automation and Test in Europe

March 31 - April 2, 2025

Lyon , France

Contributors

Other Metrics

View Article Metrics

Bibliometrics & Citations

Bibliometrics

Article Metrics

11
Total Citations
View Citations
249
Total Downloads

Downloads (Last 12 months)3
Downloads (Last 6 weeks)0

Reflects downloads up to 24 Nov 2024

Other Metrics

View Author Metrics

Citations

Cited By

Oyarzun GBorrell RGorobets AMantovani FOliva A(2018)Efficient CFD code implementation for the ARM-based Mont-Blanc architectureFuture Generation Computer Systems10.1016/j.future.2017.09.02979:P3(786-796)Online publication date: 1-Feb-2018
https://dl.acm.org/doi/10.1016/j.future.2017.09.029
Capodieci NCavicchioli RValente PBertogna MBini EPagetti C(2017)SiGAMMAProceedings of the 25th International Conference on Real-Time Networks and Systems10.1145/3139258.3139270(48-57)Online publication date: 4-Oct-2017
https://dl.acm.org/doi/10.1145/3139258.3139270
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
https://dl.acm.org/doi/10.5555/3014904.3014955
Rodriguez-Cancio MCombemale BBaudry BLo DApel SKhurshid S(2016)Automatic microbenchmark generation to prevent dead code elimination and constant foldingProceedings of the 31st IEEE/ACM International Conference on Automated Software Engineering10.1145/2970276.2970346(132-143)Online publication date: 25-Aug-2016
https://dl.acm.org/doi/10.1145/2970276.2970346
Biswas AFujimoto RFujimoto RUnger BCarothers C(2016)Profiling Energy Consumption in Distributed SimulationsProceedings of the 2016 ACM SIGSIM Conference on Principles of Advanced Discrete Simulation10.1145/2901378.2901395(201-209)Online publication date: 15-May-2016
https://dl.acm.org/doi/10.1145/2901378.2901395
Geveler MReuter BAizinger VGöddeke DTurek S(2016)Energy efficiency of the simulation of three-dimensional coastal ocean circulation on modern commodity and mobile processorsComputer Science - Research and Development10.1007/s00450-016-0324-531:4(225-234)Online publication date: 1-Nov-2016
https://dl.acm.org/doi/10.1007/s00450-016-0324-5
Petrucci VLoques OMossé DMelhem RGazala NGobriel S(2015)Energy-Efficient Thread Assignment Optimization for Heterogeneous Multicore SystemsACM Transactions on Embedded Computing Systems10.1145/256661814:1(1-26)Online publication date: 21-Jan-2015
https://dl.acm.org/doi/10.1145/2566618
Fujimoto RBiswas A(2015)An Empirical Study of Energy Consumption in Distributed SimulationsProceedings of the 19th International Symposium on Distributed Simulation and Real Time Applications10.1109/DS-RT.2015.32(163-170)Online publication date: 14-Oct-2015
https://dl.acm.org/doi/10.1109/DS-RT.2015.32
Maqbool JOh SFox G(2015)Evaluating ARM HPC clusters for scientific workloadsConcurrency and Computation: Practice & Experience10.1002/cpe.360227:17(5390-5410)Online publication date: 10-Dec-2015
https://dl.acm.org/doi/10.1002/cpe.3602
Cloutier MParadis CWeaver V(2014)Design and analysis of a 32-bit embedded high-performance cluster optimized for energy and performanceProceedings of the 1st International Workshop on Hardware-Software Co-Design for High Performance Computing10.1109/Co-HPC.2014.7(1-8)Online publication date: 16-Nov-2014
https://dl.acm.org/doi/10.1109/Co-HPC.2014.7
Show More Cited By

View Options

Login options

Check if you have access through your login credentials or your institution to get full access on this article.

Full Access

Get this Publication

View options

PDF

View or Download as a PDF file.

eReader

View online with eReader.

Media

Figures

Other

Tables

View Table of Contents