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Publication . Part of book or chapter of book . Conference object . 2017

READEX: Linking Two Ends of the Computing Continuum to Improve Energy-efficiency in Dynamic Applications

Per Gunnar Kjeldsberg; Andreas Gocht; Michael Gerndt; Lubomir Riha; Joseph Schuchart; Umbreen Sabir Mian;
Open Access
Published: 01 Mar 2017
Publisher: IEEE
Country: Norway

In both the embedded systems and High Performance Computing domains, energy-efficiency has become one of the main design criteria. Efficiently utilizing the resources provided in computing systems ranging from embedded systems to current petascale and future Exascale HPC systems will be a challenging task. Suboptimal designs can potentially cause large amounts of underutilized resources and wasted energy. In both domains, a promising potential for improving efficiency of scalable applications stems from the significant degree of dynamic behaviour, e.g., runtime alternation in application resource requirements and workloads. Manually detecting and leveraging this dynamism to improve performance and energy-efficiency is a tedious task that is commonly neglected by developers. However, using an automatic optimization approach, application dynamism can be analysed at design time and used to optimize system configurations at runtime. The European Union Horizon 2020 READEX (Runtime Exploitation of Application Dynamism for Energy-efficient eXascale computing) project will develop a tools-aided auto-tuning methodology inspired by the system scenario methodology used in embedded systems. Dynamic behaviour of HPC applications will be exploited to achieve improved energy-efficiency and performance. Driven by a consortium of European experts from academia, HPC resource providers, and industry, the READEX project aims at developing the first of its kind generic framework to split design time and runtime automatic tuning while targeting heterogeneous system at the Exascale level. This paper describes plans for the project as well as early results achieved during its first year. Furthermore, it is shown how project results will be brought back into the embedded systems domain. This is the authors' accepted and refereed manuscript to the article. © 2017 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.”

Subjects by Vocabulary

Microsoft Academic Graph classification: Distributed computing Computer science Embedded system business.industry business Scalability Petascale computing Efficient energy use Supercomputer Energy consumption


:Teknologi: 500 [VDP], :Technology: 500 [VDP], :Teknologi: 500 [VDP], :Technology: 500 [VDP]

Funded by
Runtime Exploitation of Application Dynamism for Energy-efficient eXascale computing
  • Funder: European Commission (EC)
  • Project Code: 671657
  • Funding stream: H2020 | RIA
Validated by funder
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