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

Towards Fine-Grained Dynamic Tuning of HPC Applications on Modern Multi-Core Architectures

Mohr, Bernd; Raghavan, Padma; Sourouri, Mohammed; Raknes, Espen Birger; Reissmann, Nico; Langguth, Johannes; Hackenberg, Daniel; Schöne, Robert; Kjeldsberg, Per Gunnar;
Open Access English
  • Published: 12 Nov 2017
  • Publisher: Association for Computing Machinery (ACM)
  • Country: Norway
Abstract
There is a consensus that exascale systems should operate within a power envelope of 20MW. Consequently, energy conservation is still considered as the most crucial constraint if such systems are to be realized. So far, most research on this topic has focused on strategies such as power capping and dynamic power management. Although these approaches can reduce power consumption, we believe that they might not be sufficient to reach the exascale energy-efficiency goals. Hence, we aim to adopt techniques from embedded systems, where energy-efficiency has always been the fundamental objective. A successful energy-saving technique used in embedded systems is to inte...
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doi: 10.1145/3126908.3126945
handle: 11250/2491293
Subjects
free text keywords: Parallel computing, Power envelope, Multi-core processor, Efficient energy use, Voltage, Distributed computing, Computer science, Baseline (configuration management), Energy conservation, Supercomputer, Frequency scaling
Related Organizations
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
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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