Increasing the degree of parallelism using speculative execution in task-based runtime systems

Task-based programming models have demonstrated their efficiency in the development of scientific applications on modern high-performance platforms. They allow delegation of the management of parallelization to the runtime system (RS), which is in charge of the data coherency, the scheduling, and th...

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Vydané v:	PeerJ. Computer science Ročník 5; s. e183
Hlavný autor:	Bramas, Bérenger
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	United States PeerJ. Ltd 18.03.2019 PeerJ, Inc PeerJ PeerJ Inc
Predmet:	Algorithms Computer Science Computer simulation Distributed and Parallel Computing Distributed, Parallel, and Cluster Computing Energy High performance computing Instruction execution (Computers) International conferences Methods Monte Carlo methods Monte Carlo simulation Monte-Carlo Motivation Parallel processing Proteins Review boards Run time (computers) Software Speculation STF Task-based Technology application Temperature Monte-Carlo STF Task-based Speculation
ISSN:	2376-5992, 2376-5992
On-line prístup:	Získať plný text
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