DMR: A Deterministic MapReduce for Multicore Systems

MapReduce has been shown promising to harness the multicore platform. Existing MapReduce libraries on multicore are written with shared-memory Pthreads, which introduce pervasive nondeterminism and might produce nondeterministic results if user-provided map or reduce functions are sensitive to the i...

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Veröffentlicht in:	International journal of parallel programming Jg. 45; H. 1; S. 128 - 141
Hauptverfasser:	Zhang, Yu, Cao, Huifang
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	New York Springer US 01.02.2017 Springer Nature B.V
Schlagworte:	Analysis Central processing units Computer programming Computer Science CPUs Design of experiments Harnesses Libraries Mathematical models Parallel processing Platforms Processor Architectures Scheduling Software Engineering/Programming and Operating Systems Studies Task scheduling Tasks Theory of Computation Variables Workload Workloads Multicore Deterministic parallelism MapReduce
ISSN:	0885-7458, 1573-7640
Online-Zugang:	Volltext
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