publication . Conference object . Part of book or chapter of book . 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 English
  • Published: 15 May 2017
  • Publisher: IEEE
  • Country: Norway
Abstract
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...
Persistent Identifiers
Subjects
free text keywords: :Teknologi: 500 [VDP], :Technology: 500 [VDP], :Teknologi: 500 [VDP], :Technology: 500 [VDP], Embedded system, business.industry, business, Supercomputer, Dynamism, Efficient energy use, Petascale computing, Distributed computing, Scalability, European union, media_common.cataloged_instance, media_common, Energy consumption, Computer science, Ranging
Funded by
EC| READEX
Project
READEX
Runtime Exploitation of Application Dynamism for Energy-efficient eXascale computing
  • Funder: European Commission (EC)
  • Project Code: 671657
  • Funding stream: H2020 | RIA
Validated by funder
Communities
FET H2020FET HPC: HPC Core Technologies, Programming Environments and Algorithms for Extreme Parallelism and Extreme Data Applications
FET H2020FET HPC: Runtime Exploitation of Application Dynamism for Energy-efficient eXascale computing
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Part of book or chapter of book . 2017
Provider: OpenAIRE
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Conference object . 2017
Provider: Crossref
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