Design of a Multithreaded Barnes-Hut Algorithm for Multicore Clusters

We describe in this paper an implementation of the Barnes-Hut algorithm on multicore clusters. Based on a partitioned global address space (PGAS) library, the design integrates intranode multithreading and internode one-sided communication, exemplifying a PGAS + X programming style. Within a node, t...

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Vydané v:IEEE transactions on parallel and distributed systems Ročník 26; číslo 7; s. 1861 - 1873
Hlavní autori: Junchao Zhang, Behzad, Babak, Snir, Marc
Médium: Journal Article
Jazyk:English
Vydavateľské údaje: New York IEEE 01.07.2015
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Predmet:
Algorithm design and analysis
Force
Instruction sets
Multicore processing
Octrees
Product introduction
Programming
Synchronization
cluster
n-body
PGAS
multicore
Barnes-Hut
ISSN:1045-9219, 1558-2183
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Shrnutí:We describe in this paper an implementation of the Barnes-Hut algorithm on multicore clusters. Based on a partitioned global address space (PGAS) library, the design integrates intranode multithreading and internode one-sided communication, exemplifying a PGAS + X programming style. Within a node, the computation is decomposed into tasks (subtasks) and multitasking is used to hide network latency. We study the tradeoffs between locality in private caches and locality in shared caches and bring the insights into the design. As a result, our implementation consumes less memory per core, invokes less internode communication, and enjoys better load-balancing strategies. The final code achieves up to 41 percent performance improvement over a non-multithreaded counterpart. Through detailed comparison, we also show its advantages over other well-known Barnes-Hut implementations, both in programming complexity and in performance.
Bibliografia:ObjectType-Article-1
SourceType-Scholarly Journals-1
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content type line 14
ISSN:1045-9219
1558-2183
DOI:10.1109/TPDS.2014.2331243