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SICS Software-Intensive Cyber-Physical Systems
Erschienen in: SICS Software-Intensive Cyber-Physical Systems 3-4/2014

01.08.2014 | Special Issue Paper

Automatic detection of power bottlenecks in parallel scientific applications

verfasst von: María Barreda, Sandra Catalán, Manuel F. Dolz, Rafael Mayo, Enrique S. Quintana-Ortí

Erschienen in: SICS Software-Intensive Cyber-Physical Systems | Ausgabe 3-4/2014

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Abstract

In this paper we present an extension of the pmlib framework for power-performance analysis that permits a rapid and automatic detection of power sinks during the execution of concurrent scientific workloads. The extension is shaped in the form of a multithreaded Python module that offers high reliability and flexibility, rendering an overall inspection process that introduces low overhead. Additionally, we investigate the advantages and drawbacks of the RAPL power model, introduced in the Intel Xeon “Sandy-Bridge” CPU, versus a data acquisition system from National Instruments.
Vorheriger Artikel Mapping fine-grained power measurements to HPC application runtime characteristics on IBM POWER7
Nächster Artikel Integrating performance analysis and energy efficiency optimizations in a unified environment

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Literatur
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Metadaten
Titel
Automatic detection of power bottlenecks in parallel scientific applications
verfasst von
María Barreda
Sandra Catalán
Manuel F. Dolz
Rafael Mayo
Enrique S. Quintana-Ortí
Publikationsdatum
01.08.2014
Verlag
Springer Berlin Heidelberg
Erschienen in
SICS Software-Intensive Cyber-Physical Systems / Ausgabe 3-4/2014
Print ISSN: 2524-8510
Elektronische ISSN: 2524-8529
DOI
https://doi.org/10.1007/s00450-013-0242-8

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