Reference : Energy aware ultrascale systems |
Parts of books : Contribution to collective works | |||
Engineering, computing & technology : Computer science | |||
Computational Sciences | |||
http://hdl.handle.net/10993/42067 | |||
Energy aware ultrascale systems | |
English | |
Oleksiak, Ariel [] | |
Lefèvre, Laurent [] | |
Alonso, Pedro [] | |
Da Costa, Georges [] | |
De Maio, Vincenzo [] | |
Frasheri, Neki [] | |
Garcia, Victor M. [] | |
Guerrero, Joel [] | |
Lafond, Sebastien [] | |
Lastovetsky, Alexey L. [] | |
Manumachu, Ravi Reddy [] | |
Muite, Benson [] | |
Orgerie, Anne-Cecile [] | |
Piatek, Wojciech [] | |
Pierson, Jean-Marc [] | |
Prodan, Radu [] | |
Stolf, Patricia [] | |
Sheme, Enida [] | |
Varrette, Sébastien ![]() | |
Jan-2019 | |
Ultrascale Computing Systems | |
Carretero, J. | |
Jeannot, E. | |
Zomaya, A.Y. | |
IET | |
127-188 | |
Yes | |
978-178-5618-33-8 | |
[en] 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. | |
University of Luxembourg: High Performance Computing - ULHPC | |
http://hdl.handle.net/10993/42067 | |
https://digital-library.theiet.org/content/books/10.1049/pbpc024e_ch5 |
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