References of "Orgerie, Anne-Cecile"
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See detailEnergy aware ultrascale systems
Oleksiak, Ariel; Lefèvre, Laurent; Alonso, Pedro et al

in Carretero, J.; Jeannot, E.; Zomaya, A.Y. (Eds.) Ultrascale Computing Systems (2019)

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 ... [more ▼]

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. [less ▲]

Detailed reference viewed: 22 (0 UL)
Peer Reviewed
See detailA Full-Cost Model for Estimating the Energy Consumption of Computing Infrastructures
Orgerie, Anne-Cecile; Varrette, Sébastien UL

in Zomaya, A. Y; Carretero, J.; Jeannot, E. (Eds.) Ultrascale Computing Systems (2019)

Since its advent in the middle of the 2000’s, the Cloud Computing (CC) paradigm is increasingly advertised as a price-effective solution to many IT problems. This seems reasonable if we exclude the pure ... [more ▼]

Since its advent in the middle of the 2000’s, the Cloud Computing (CC) paradigm is increasingly advertised as a price-effective solution to many IT problems. This seems reasonable if we exclude the pure performance point of view as many studies highlight a non-negligible overhead induced by the virtualization layer at the heart of every Cloud middleware when subjected to an High Performance Computing (HPC) workload. When this is the case, traditional HPC and Ultrascale computing systems are required, and then comes the question of the real cost-effectiveness, especially when comparing to instances offered by the Cloud providers. In this section, and inspired by the work proposed in [1], we propose a Total Cost of Ownership (TCO) analysis of an in-house academic HPC facility of medium-size (in particular the one operated at the University of Luxembourg since 2007, or within the Grid’5000 project [2]), and compare it with the investment that would have been required to run the same platform (and the same workload) over a competitive Cloud IaaS offer. [less ▲]

Detailed reference viewed: 52 (5 UL)