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Performance and Power-Aware Modeling of MPI Applications for Cluster Computing

Abstrakt

The paper presents modeling of performance and power consumption when running parallel applications on modern cluster-based systems. The model includes basic so-called blocks representing either computations or communication. The latter includes both point-to-point and collective communication. Real measurements were performed using MPI applications and routines run on three different clusters with both Infiniband and Gigabit Ethernet interconnects. Regression allowed to obtain specific coefficients for particular systems, all modeled with the same formulas. The model has been incorporated into the MERPSYS environment for modeling parallel applications and simulation of execution on large-scale cluster and volunteer based systems. Using specific application and system models, MERPSYS allows to predict application execution time, reliability and power consumption of resources used during computations. Consequently, the proposed models for computational and communication blocks are of utmost importance for the environment.

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Wersja publikacji
Accepted albo Published Version
Licencja
Copyright (2016 Springer International Publishing Switzerland)

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Informacje szczegółowe

Kategoria:
Publikacja monograficzna
Typ:
rozdział, artykuł w książce - dziele zbiorowym /podręczniku w języku o zasięgu międzynarodowym
Tytuł wydania:
Parallel Processing and Applied Mathematics, Part II strony 199 - 209
ISSN:
0302-9743
Język:
angielski
Rok wydania:
2016
Opis bibliograficzny:
Proficz J., Czarnul P.: Performance and Power-Aware Modeling of MPI Applications for Cluster Computing// Parallel Processing and Applied Mathematics. Part 2/ : Springer, 2016, s.199-209
DOI:
Cyfrowy identyfikator dokumentu elektronicznego (otwiera się w nowej karcie) 10.1007/978-3-319-32152-3_19
Weryfikacja:
Politechnika Gdańska

wyświetlono 167 razy

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