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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 4 Joel Guerrero 8 Sébastien Lafond 9 Alexey Lastovetsky 10 Ravi Reddy Manumachu 11 Benson Muite 12 Anne-Cécile Orgerie 13, 14 Wojciech Piatek 15 Jean-Marc Pierson 5 Radu Prodan 16 Patricia Stolf 17 Enida Sheme 7 Sébastien Varrette 18
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 UPV - Universitat Politècnica de València
5 UT3 - Université Toulouse III - Paul Sabatier
6 University of Vienna [Vienna]
7 Polytechnic University of Tirana
8 UNIGE - University of Genoa
9 Åbo Akademi University [Turku]
10 School of Computer Science and Informatics [Dublin]
11 UCD - University College Dublin [Dublin]
12 University of Tartu
13 MYRIADS - Design and Implementation of Autonomous Distributed Systems
Inria Rennes – Bretagne Atlantique , IRISA-D1 - SYSTÈMES LARGE ÉCHELLE
14 CNRS - Centre National de la Recherche Scientifique
15 PSNC - Poznan Supercomputing and Networking Center
16 Alpen-Adria-Universität Klagenfurt [Klagenfurt, Austria]
17 IRIT-SEPIA - Système d’exploitation, systèmes répartis, de l’intergiciel à l’architecture
IRIT - Institut de recherche en informatique de Toulouse
18 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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Submitted on : Friday, September 13, 2019 - 12:11:39 AM
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ENS-LYON | SMS | CENTRALESUPELEC | UR1-MATH-STIC | UR1-UFR-ISTIC | UNIV-RENNES | IRISA | UNIV-TLSE2 | UNIV-TLSE3 | UNIV-RENNES1 | CNRS | INRIA | UNIV-LYON1 | UT1-CAPITOLE | GRID5000 | UDL | IRISA_UBS_2 | IRIT | SILECS | IRIT-SEPIA | INSA-RENNES | IUT-BLAGNAC | UR1-MATH-NUM | IRIT-ASR | IRIT-CNRS | IRIT-UT2J | IRIT-UT3

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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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