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Titel:

AutoPas: A Library for N-Body Simulations Enabling Optimal Node-Level Performance Through Auto-Tuning

Dokumenttyp:
Konferenzbeitrag
Art des Konferenzbeitrags:
Poster
Autor(en):
Gratl, Fabio Alexander; Seckler, Steffen; Tchipev, Nikola; Neumann, Philipp; Bungartz, Hans-Joachim
Abstract:
AutoPas: a Library for N-Body Simulations enabling optimal Node-Leveling through Auto-Tuning N-Body Problem based simulations are employed in various disciplines, for example, to model the evolution of star clusters or galaxies, to approximate fluid motion, or to study the behavior of molecules in so-called molecular dynamics simulations. To avoid the theoretical time complexity of O(N^2) which would be needed to compute all pairwise particle interactions, algorithms can be employed to redu...     »
Kongress- / Buchtitel:
CoSaS
Kongress / Zusatzinformationen:
2018
Jahr:
2018
Quartal:
3. Quartal
Jahr / Monat:
2018-09
Monat:
Sep
Reviewed:
nein
Sprache:
en
TUM Einrichtung:
Department of Informatics
 BibTeX