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Title:

AutoPas: Auto-Tuning for Particle Simulations

Document type:
Konferenzbeitrag
Contribution type:
Textbeitrag / Aufsatz
Author(s):
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...     »
Keywords:
HPC; Molecular Dynamics; Auto-Tuning; Automatic Algorithm Selection; Dynamic Tuning
Book / Congress title:
2019 IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW)
Congress (additional information):
International Workshop on Automatic Performance Tuning (iWAPT) 2019
Publisher:
IEEE
Date of publication:
01.05.2019
Year:
2019
Quarter:
2. Quartal
Year / month:
2019-05
Month:
May
Print-ISBN:
9781728135106
Reviewed:
ja
Language:
en
Fulltext / DOI:
doi:10.1109/ipdpsw.2019.00125
WWW:
https://ieeexplore.ieee.org/document/8778280
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