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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Bibliographic Details
Published in:	PeerJ. Computer science Vol. 5; p. e183
Main Author:	Bramas, Bérenger
Format:	Journal Article
Language:	English
Published:	United States PeerJ. Ltd 18.03.2019 PeerJ, Inc PeerJ PeerJ Inc
Subjects:	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
Online Access:	Get full text
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