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AutoTuning and Adaptivity appRoach for Energy Efficient eXascale HPC Systems: The ANTAREX Approach

descriptionPublicationkeyboard_double_arrow_right Conference object , Article 01 Jan 2016 France, Italy, Italy Publisher:Research Publishing ServicesJournal:Proceedings of the 2016 Design, Automation & Test in Europe Conference & Exhibition (DATE)Funded by:FCT | MS3, EC | ANTAREX

Authors: SILVANO, CRISTINA; AGOSTA, GIOVANNI; Bartolini, Andrea; Beccari, Andrea R.; Benini, Luca; Bispo, João; Cmar, Radim; +9 Authors

doi: 10.3850/9783981537079_1012

handle: 11311/1026276 , 11585/613811

AutoTuning and Adaptivity appRoach for Energy Efficient eXascale HPC Systems: The ANTAREX Approach

- Summary
- Subjects
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Abstract

The main goal of the ANTAREX project is to express by a Domain Specific Language (DSL) the application self-adaptivity and to runtime manage and autotune applications for green and heterogeneous High Performance Computing (HPC) systems up to the Exascale level. Key innovations of the project include the introduction of a separation of concerns between self-adaptivity strategies and application functionalities. The DSL approach will allow the definition of energy-efficiency, performance, and adaptivity strategies as well as their enforcement at runtime through application autotuning and resource and power management.

Countries

France, Italy, Italy

Related Organizations

Polytechnic University of Milan
Italy
Alma Mater Studiorum University of Bologna
Italy
French Institute for Research in Computer Science and Automation
France
University of Porto
Portugal
Technical University of Ostrava
Czech Republic

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Keywords

Energy Efficiency, [INFO.INFO-OH]Computer Science [cs]/Other [cs.OH], High Performance Computing, DSL, [INFO.INFO-OH] Computer Science [cs]/Other [cs.OH], Adaptivity, Compilers, Autotuning, Adaptivity; Autotuning; Compilers; DSL; Energy Efficiency; High Performance Computing; Hardware and Architecture; Safety, Risk, Reliability and Quality

Impact byBIP!

	citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	12
	popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.	Top 10%
	influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	Average
	impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.	Top 10%