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Energy aware ultrascale systems

Ariel Oleksiak 1 Laurent Lefèvre 2, 3 Pedro Alonso 4 Georges da Costa 5 Vincenzo de Maio 6 Neki Frasheri 7 Victor Garcia 8 Joel Guerrero 9 Sébastien Lafond 10 Alexey Lastovetsky 11 Ravi Reddy Manumachu 12 Benson Muite 13 Anne-Cécile Orgerie 14, 15 Wojciech Piatek 16 Jean-Marc Pierson 5 Radu Prodan 17 Patricia Stolf 18 Enida Sheme 7 Sébastien Varrette 19
1 Poznan Supercomputing and Networking Center
2 LIP - Laboratoire de l'Informatique du Parallélisme
3 AVALON - Algorithms and Software Architectures for Distributed and HPC Platforms
Inria Grenoble - Rhône-Alpes, LIP - Laboratoire de l'Informatique du Parallélisme
4 Universidad Politécnica de Valencia
5 UT3 - Université Toulouse III - Paul Sabatier
6 University of Vienna [Vienna]
7 Polytechnic University of Tirana
8 UPV - Universitat Politecnica de Valencia
9 UNIGE - University of Genoa
10 Åbo Akademi University [Turku]
11 School of Computer Science and Informatics [Dublin]
12 UCD - University College Dublin [Dublin]
13 University of Tartu
14 MYRIADS - Design and Implementation of Autonomous Distributed Systems
Inria Rennes – Bretagne Atlantique , IRISA-D1 - SYSTÈMES LARGE ÉCHELLE
15 CNRS - Centre National de la Recherche Scientifique
16 PSNC - Poznan Supercomputing and Networking Center
17 Alpen-Adria-Universität Klagenfurt [Klagenfurt, Austria]
18 IRIT-SEPIA - Système d’exploitation, systèmes répartis, de l’intergiciel à l’architecture
IRIT - Institut de recherche en informatique de Toulouse
19 CSC - Computer Science and Communications Research Unit [Luxembourg]
Abstract : Energy consumption is one of the main limiting factors for the design of ultrascale infrastructures. Multi-level hardware and software optimizations must be designed and explored in order to reduce energy consumption for these largescale equipment. This chapter addresses the issue of energy efficiency of ultrascale systems in front of other quality metrics. The goal of this chapter is to explore the design of metrics, analysis, frameworks and tools for putting energy awareness and energy efficiency at the next stage. Significant emphasis will be placed on the idea of “energy complexity,” reflecting the synergies between energy efficiency and quality of service, resilience and performance, by studying computation power, communication/data sharing power, data access power, algorithm energy consumption, etc.
Keywords : energy simulation sustainability energy efficiency metrics energy models energy monitoring energy aware software energy consumption heterogeneous systems
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https://hal.inria.fr/hal-02163289
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Submitted on : Friday, September 13, 2019 - 12:11:39 AM
Last modification on : Friday, January 8, 2021 - 3:43:18 AM
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UNIV-LYON1 | INRIA | LIP | UNIV-RENNES1 | IRISA | UNIV-RENNES | UR1-UFR-ISTIC | UNIV-TLSE2 | SMS | CENTRALESUPELEC | UNIV-TLSE3 | ENS-LYON | CNRS | UT1-CAPITOLE | GRID5000 | UDL | IRIT | SILECS | IRIT-SEPIA | INSA-RENNES | IUT-BLAGNAC

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Ariel Oleksiak, Laurent Lefèvre, Pedro Alonso, Georges da Costa, Vincenzo de Maio, et al.. Energy aware ultrascale systems. Ultrascale Computing Systems, Institution of Engineering and Technology, pp.127-188, 2019, ⟨10.1049/PBPC024E_ch⟩. ⟨hal-02163289⟩

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