Pre-exascale Architectures: OpenPOWER Performance and Usability Assessment for French Scientific Community View Full Text


Ontology type: schema:Chapter     


Chapter Info

DATE

2017-10-20

AUTHORS

Gabriel Hautreux , Alfredo Buttari , Arnaud Beck , Victor Cameo , Dimitri Lecas , Dominique Aubert , Emeric Brun , Eric Boyer , Fausto Malvagi , Gabriel Staffelbach , Isabelle d’Ast , Joeffrey Legaux , Ghislain Lartigue , Gilles Grasseau , Guillaume Latu , Juan Escobar , Julien Bigot , Julien Derouillat , Matthieu Haefele , Nicolas Renon , Philippe Parnaudeau , Philippe Wautelet , Pierre-Francois Lavallee , Pierre Kestener , Remi Lacroix , Stephane Requena , Anthony Scemama , Vincent Moureau , Jean-Matthieu Etancelin , Yann Meurdesoif

ABSTRACT

Exascale implies a major pre-requisite in terms of energy efficiency, as an improvement of an order of magnitude must be reached in order to stay within an acceptable envelope of 20 MW. To address this objective and to continue to sustain performance, HPC architectures have to become denser, embedding many-core processors (to several hundreds of computing cores) and/or become heterogeneous, that is, using graphic processors or FPGAs. These energy-saving constraints will also affect the underlying hardware architectures (e.g., memory and storage hierarchies, networks) as well as system software (runtime, resource managers, file systems, etc.) and programming models. While some of these architectures, such as hybrid machines, have existed for a number of years and occupy noticeable ranks in the TOP 500 list, they are still limited to a small number of scientific domains and, moreover, require significant porting effort. However, recent developments of new paradigms (especially around OpenMP and OpenACC) make these architectures much more accessible to programmers. In order to make the most of these breakthrough upcoming technologies, GENCI and its partners have set up a technology watch group and lead collaborations with vendors, relying on HPC experts and early adopted HPC solutions. The two main objectives are providing guidance and prepare the scientific communities to challenges of exascale architectures. The work performed on the OpenPOWER platform, one of the targeted platform for exascale, is described in this paper. More... »

PAGES

309-324

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/978-3-319-67630-2_23

DOI

http://dx.doi.org/10.1007/978-3-319-67630-2_23

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1092291336


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curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1007/978-3-319-67630-2_23'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/978-3-319-67630-2_23'

RDF/XML is a standard XML format for linked data.

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/978-3-319-67630-2_23'


 

This table displays all metadata directly associated to this object as RDF triples.

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