Hybrid MPI/OpenMP power-aware computing

Dong Lit, Bronis R. De Supinski, Martin Schulz, Kirk Cameron, Dimitrios S. Nikolopoulos

Publikation: Beitrag in Buch/Bericht/KonferenzbandKonferenzbeitragBegutachtung

110 Zitate (Scopus)

Abstract

Power-aware execution of parallel programs is now a primary concern in large-scale HPC environments. Prior research in this area has explored models and algorithms based on dynamic voltage and frequency scaling (DVFS) and dynamic concurrency throttling (DCT) to achieve power-aware execution of programs written in a single programming model, typically MPI or OpenMP. However, hybrid programming models combining MPI and OpenMP are growing in popularity as emerging large-scale systems have many nodes with several processors per node and multiple cores per processor. In this paper we present and evaluate solutions for power-efficient execution of programs written in this hybrid model targeting large-scale distributed systems with multicore nodes. We use a new power-aware performance prediction model of hybrid MPI/OpenMP applications to derive a novel algorithm for power-efficient execution of realistic applications from the ASC Sequoia and NPB MZ benchmarks. Our new algorithm yields substantial energy savings (4.18% on average and up to 13.8%) with either negligible performance loss or performance gain (up to 7.2%).

OriginalspracheEnglisch
TitelProceedings of the 2010 IEEE International Symposium on Parallel and Distributed Processing, IPDPS 2010
DOIs
PublikationsstatusVeröffentlicht - 2010
Extern publiziertJa
Veranstaltung24th IEEE International Parallel and Distributed Processing Symposium, IPDPS 2010 - Atlanta, GA, USA/Vereinigte Staaten
Dauer: 19 Apr. 201023 Apr. 2010

Publikationsreihe

NameProceedings of the 2010 IEEE International Symposium on Parallel and Distributed Processing, IPDPS 2010

Konferenz

Konferenz24th IEEE International Parallel and Distributed Processing Symposium, IPDPS 2010
Land/GebietUSA/Vereinigte Staaten
OrtAtlanta, GA
Zeitraum19/04/1023/04/10

Fingerprint

Untersuchen Sie die Forschungsthemen von „Hybrid MPI/OpenMP power-aware computing“. Zusammen bilden sie einen einzigartigen Fingerprint.

Dieses zitieren