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O. Vysocky¹,M. Beseda¹, L. Riha¹, J. Zapletal¹, V. Nikl², M. Lysaght³ and V. Kannan³

¹IT4Innovations, VSB-Technical University of Ostrava, Czech Republic
²Faculty of Information Technology, Brno University of Technology, Brno, Czech Republic
³ Irish Centre for High End Computing, Dublin, Ireland

doi:10.4203/ccp.111.3

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O. Vysocky, M. Beseda, L. Riha, J. Zapletal, V. Nikl, M. Lysaght, V. Kannan, "Evaluation of the HPC Applications Dynamic Behavior in Terms of Energy Consumption", in , (Editors), "Proceedings of the Fifth International Conference on Parallel, Distributed, Grid and Cloud Computing for Engineering", Civil-Comp Press, Stirlingshire, UK, Paper 3, 2017. doi:10.4203/ccp.111.3

Keywords: READEX, energy efficient computing,MERIC, RADAR, HDEEM, RAPL, runtime tuning, Haswell processor.

Summary

This paper introduces the READEX project tuning approach which exploits the dynamic application behavior and its potential for energy savings. The paper is focused on themanual applications evaluation from the energy consumption optimisation point of view. As an examples we have selected one complex application, the ESPRESO library and two simplified applications from the ProxyApps benchmark tool suite. ESPRESO containsmany types of operations including I/O, communication, sparse BLAS and dense BLAS. The results show that static savings are 5.6–12.3% and dynamic savings are 4.7–9.1%. The highest total savings for ESPRESO are 21.4% as a combination of 12.3% static savings and 9.1% dynamic savings. The ProxyApp applications, Kripke and Lulesh, were presented for two configurations each. The first configuration of the Kripke saved 29.3% energy, almost only by static tuning. On the other hand, the second configuration shows us only 18.8% savings, but over a third of it was saved by dynamic switching CPU core and uncore frequencies. The Lulesh test cases saved 28.9%, respectively 26.7%.

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Front Page Browse CCP CSETS CTR IJRT Other Authors Search Purchase Guide FAQ Contact us	Civil-Comp Proceedings ISSN 1759-3433 CCP: 111 PROCEEDINGS OF THE FIFTH INTERNATIONAL CONFERENCE ON PARALLEL, DISTRIBUTED, GRID AND CLOUD COMPUTING FOR ENGINEERING Edited by: Paper 3 Evaluation of the HPC Applications Dynamic Behavior in Terms of Energy Consumption O. Vysocky¹,M. Beseda¹, L. Riha¹, J. Zapletal¹, V. Nikl², M. Lysaght³ and V. Kannan³ ¹IT4Innovations, VSB-Technical University of Ostrava, Czech Republic ²Faculty of Information Technology, Brno University of Technology, Brno, Czech Republic ³ Irish Centre for High End Computing, Dublin, Ireland doi:10.4203/ccp.111.3 purchase the full-text of this paper Full Bibliographic Reference for this paper O. Vysocky, M. Beseda, L. Riha, J. Zapletal, V. Nikl, M. Lysaght, V. Kannan, "Evaluation of the HPC Applications Dynamic Behavior in Terms of Energy Consumption", in , (Editors), "Proceedings of the Fifth International Conference on Parallel, Distributed, Grid and Cloud Computing for Engineering", Civil-Comp Press, Stirlingshire, UK, Paper 3, 2017. doi:10.4203/ccp.111.3 Keywords: READEX, energy efficient computing,MERIC, RADAR, HDEEM, RAPL, runtime tuning, Haswell processor. Summary This paper introduces the READEX project tuning approach which exploits the dynamic application behavior and its potential for energy savings. The paper is focused on themanual applications evaluation from the energy consumption optimisation point of view. As an examples we have selected one complex application, the ESPRESO library and two simplified applications from the ProxyApps benchmark tool suite. ESPRESO containsmany types of operations including I/O, communication, sparse BLAS and dense BLAS. The results show that static savings are 5.6–12.3% and dynamic savings are 4.7–9.1%. The highest total savings for ESPRESO are 21.4% as a combination of 12.3% static savings and 9.1% dynamic savings. The ProxyApp applications, Kripke and Lulesh, were presented for two configurations each. The first configuration of the Kripke saved 29.3% energy, almost only by static tuning. On the other hand, the second configuration shows us only 18.8% savings, but over a third of it was saved by dynamic switching CPU core and uncore frequencies. The Lulesh test cases saved 28.9%, respectively 26.7%. purchase the full-text of this paper (price £22) go to the previous paper go to the next paper return to the table of contents return to the book description purchase this book (price £45 +P&P)
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