The READEX formalism for automatic tuning for energy efficiency

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27740%2F17%3A10237531" target="_blank" >RIV/61989100:27740/17:10237531 - isvavai.cz</a>

Result on the web

<a href="https://link.springer.com/content/pdf/10.1007%2Fs00607-016-0532-7.pdf" target="_blank" >https://link.springer.com/content/pdf/10.1007%2Fs00607-016-0532-7.pdf</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1007/s00607-016-0532-7" target="_blank" >10.1007/s00607-016-0532-7</a>

Result language

angličtina

Original language name

The READEX formalism for automatic tuning for energy efficiency

Original language description

Energy efficiency is an important aspect of future exascale systems, mainly due to rising energy cost. Although High performance computing (HPC) applications are compute centric, they still exhibit varying computational characteristics in different regions of the program, such as compute-, memory-, and I/O-bound code regions. Some of today’s clusters already offer mechanisms to adjust the system to the resource requirements of an application, e.g., by controlling the CPU frequency. However, manually tuning for improved energy efficiency is a tedious and painstaking task that is often neglected by application developers. The European Union’s Horizon 2020 project READEX (Runtime Exploitation of Application Dynamism for Energy-efficient eXascale computing) aims at developing a tools-aided approach for improved energy efficiency of current and future HPC applications. To reach this goal, the READEX project combines technologies from two ends of the compute spectrum, embedded systems and HPC, constituting a split design-time/runtime methodology. From the HPC domain, the Periscope Tuning Framework (PTF) is extended to perform dynamic auto-tuning of fine-grained application regions using the systems scenario methodology, which was originally developed for improving the energy efficiency in embedded systems. This paper introduces the concepts of the READEX project, its envisioned implementation, and preliminary results that demonstrate the feasibility of this approach. © 2017 The Author(s)

Czech name

—

Czech description

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Type

J_imp - Article in a specialist periodical, which is included in the Web of Science database

CEP classification

—

OECD FORD branch

10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Project

—

Continuities

V - Vyzkumna aktivita podporovana z jinych verejnych zdroju

Publication year

2017

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Name of the periodical

Computing

ISSN

0010-485X

e-ISSN

—

Volume of the periodical

99

Issue of the periodical within the volume

8

Country of publishing house

AT - AUSTRIA

Number of pages

19

Pages from-to

1-19

UT code for WoS article

000407442300002

EID of the result in the Scopus database

2-s2.0-85009205005