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Performance/energy aware optimization of parallel applications on GPUs under power capping

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In the paper we present an approach and results from application of the modern power capping mechanism available for NVIDIA GPUs to the bench- marks such as NAS Parallel Benchmarks BT, SP and LU as well as cublasgemm- benchmark which are widely used for assessment of high performance computing systems’ performance. Specifically, depending on the benchmarks, various power cap configurations are best for desired trade-off of performance and energy con- sumption. We present two: both energy savings and performance drops for same power caps as well as a normalized performance-energy consumption product. It is important that optimal configurations are often non-trivial i.e. are obtained for power caps smaller than default and larger than minimal allowed limits. Tests have been performed for two modern GPUs of Pascal and Turing generations i.e. NVIDIA GTX 1070 and NVIDIA RTX 2080 respectively and thus results can be useful for many applications with profiles similar to the benchmarks executed on modern GPU based systems.

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Informacje szczegółowe

Kategoria:
Publikacja monograficzna
Typ:
rozdział, artykuł w książce - dziele zbiorowym /podręczniku w języku o zasięgu międzynarodowym
Język:
angielski
Rok wydania:
2019
Opis bibliograficzny:
Krzywaniak A., Czarnul P.: Performance/energy aware optimization of parallel applications on GPUs under power capping// Parallel Processing and Applied Mathematics/ : , 2019, s.123-133
DOI:
Cyfrowy identyfikator dokumentu elektronicznego (otwiera się w nowej karcie) 10.1007/978-3-030-43222-5_11
Weryfikacja:
Politechnika Gdańska

wyświetlono 27 razy

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