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https://doi.org/10.1145/308515...
Other literature type . Conference object . 2017 . Peer-reviewed
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READEX Tool Suite for Energy-efficiency Tuning of HPC Applications

Authors: Chowdhury, Anamika; Kumaraswamy, Madhura; Gerndt, Michael;

READEX Tool Suite for Energy-efficiency Tuning of HPC Applications

Abstract

ThŒe European Union Horizon 2020 READEX project is developing a tool suite for dynamic energy tuning of HPC applications. ŒThe tool suite performs an analysis during design-time before production run to construct a tuning model encapsulated with the best-found con€gurations that are then fed to the runtime tuning library. ThŒe library switches the confi€gurations at runtime to adapt the application for energy-efficiency.

Related Organizations
Subjects by Vocabulary

Microsoft Academic Graph classification: Automatic tuning Engineering business.industry Suite Dynamic energy Construct (python library) computer.software_genre Supercomputer Operating system media_common.cataloged_instance European union business computer media_common Efficient energy use

Dewey Decimal Classification: ddc:000

Keywords

Informatik, Wissen, Systeme

[1] Michael Gerndt, Eduardo Ce´sar, and Siegfried Benkner, editors. Automatic Tuning of HPC Applications - Še Periscope Tuning Framework. Shaker Verlag, Aachen, 2015.

[2] A. Knu¨pfer, C. Ro¨ssel, D. an Mey, S. Biersdor‚, K. Diethelm, D. Eschweiler, M. Geimer, M. Gerndt, D. Lorenz, A. D. Malony, W. E. Nagel, Y. Oleynik, P. Philippen, P. Saviankou, D. Schmidl, S. S. Shende, R. Tschu¨ter, M. Wagner, B. Wesarg, and F. Wolf. Score-p: A joint performance measurement run-time infrastructure for Periscope, Scalasca, TAU, and Vampir. In H. Brunst, M. Mu¨ller, W. E. Nagel, and M. M. Resch, editors, Tools for High Performance Computing 2011, pages 79-91. Springer, Berlin, 2012.

[3] Robert Mijakovic´, Michael Firbach, and Michael Gerndt. An architecture for ƒexible auto-tuning: Œe periscope tuning framework 2.0. In Green High Performance Computing (ICGHPC), 2016 2nd International Conference on, pages 1-9. IEEE, 2016.

[4] Y. Oleynik, M. Gerndt, J. Schuchart, P. G. Kjeldsberg, and W. E. Nagel. Run-time exploitation of application dynamism for energy-ecient exascale computing (READEX). In C. Plessl, D. El Baz, G. Cong, J. M. P. Cardoso, L. Veiga, and T. Rauber, editors, Computational Science and Engineering (CSE), 2015 IEEE 18th International Conference on, pages 347-350, Piscataway, Oct 2015. IEEE. [OpenAIRE]

[5] Joseph Schuchart, Michael Gerndt, Per Gunnar Kjeldsberg, Michael Lysaght, David Hora´k, Lubom´ır Rˇ´ıha, Andreas Gocht, Mohammed Sourouri, Madhura Kumaraswamy, Anamika Chowdhury, Magnus Jahre, Kai Diethelm, Othman Bouizi, Umbreen Sabir Mian, Jakub Kruzˇ´ık, Radim Sojka, Martin Beseda, Venkatesh Kannan, Zakaria Bendifallah, Daniel Hackenberg, and Wolfgang E Nagel. Œe

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  • citations
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    3
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Average
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Average
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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
3
Average
Average
Average