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Titel:

AutoPas: Auto-Tuning for Particle Simulations

Dokumenttyp:
Konferenzbeitrag
Art des Konferenzbeitrags:
Textbeitrag / Aufsatz
Autor(en):
Gratl, Fabio Alexander; Seckler, Steffen; Tchipev, Nikola; Bungartz, Hans-Joachim; Neumann, Philipp
Abstract:
The C++ library AutoPas aims at delivering optimal node-level performance for particle simulations. This paper describes the internally implemented algorithms, and how the library uses auto-tuning to dynamically select their optimal combination at run-time. Results are presented, which show that all available algorithms and configuration options have their specific advantages. To demonstrate the library’s capabilities in relevant application settings, it has been integrated into the software pac...     »
Stichworte:
HPC; Molecular Dynamics; Auto-Tuning; Automatic Algorithm Selection; Dynamic Tuning
Kongress- / Buchtitel:
2019 IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW)
Kongress / Zusatzinformationen:
International Workshop on Automatic Performance Tuning (iWAPT) 2019
Verlag / Institution:
IEEE
Publikationsdatum:
01.05.2019
Jahr:
2019
Quartal:
2. Quartal
Jahr / Monat:
2019-05
Monat:
May
Print-ISBN:
9781728135106
Reviewed:
ja
Sprache:
en
Volltext / DOI:
doi:10.1109/ipdpsw.2019.00125
WWW:
https://ieeexplore.ieee.org/document/8778280
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