NDLI: A unified energy footprint for simulation software

Content Provider	Springer Nature Link
Author	Anzt, Hartwig Beglarian, Armen Chilingaryan, Suren Ferrone, Andrew Heuveline, Vincent Kopmann, Andreas
Copyright Year	2012
Abstract	The focus in High-Performance Computing increasingly turns to energy efficiency. Therefore the pure concentration on floating point operations and runtime performance is no longer sufficient. In terms of hardware, this change of paradigm has already taken place: The GREEN500 list as counterpart to the runtime performance oriented TOP500 list has been established. The new metrics take runtime and energy consumption into account. Nevertheless, all these developments consider hardware only—still an inadequate situation to face the challenges of Energy-Efficient Exascale Computing. The necessity of optimizing simulation software with respect to power and energy draft demands for detailed profiling of the power consumption during the calculations and a norm quantifying the respective efficiency. In this paper we propose a unified energy footprint for simulation software that enables a fast comparison between different models, implementations and hardware configurations, respectively. By way of example we provide the footprints for the tomographic reconstruction code PyHST optimized for CPU and GPU operation as well as the operational numerical weather prediction model COSMO. We then discuss the power and energy profiles and investigate the effects of scaling with respect to hardware resources and simulation parameters.
Starting Page	131
Ending Page	138
Page Count	8
File Format	PDF
ISSN	18652034
Journal	Informatik - Forschung und Entwicklung
Volume Number	29
Issue Number	2
e-ISSN	18652042
Language	English
Publisher	Springer Berlin Heidelberg
Publisher Date	2012-08-30
Publisher Place	Berlin, Heidelberg
Access Restriction	Subscribed
Subject Keyword	Energy-efficient computing Measurement of CPU and GPU power consumption Benchmarking Meteorological simulations COSMO Computer Science Computer Hardware Computer Systems Organization and Communication Networks Software Engineering/Programming and Operating Systems Data Structures, Cryptology and Information Theory Theory of Computation
Content Type	Text
Resource Type	Article
Subject	Computer Science

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