DSParLib: A C++ Template Library for Distributed Stream Parallelism

Stream processing applications deal with millions of data items continuously generated over time. Often, they must be processed in real-time and scale performance, which requires the use of distributed parallel computing resources. In C/C++, the current state-of-the-art for distributed architectures...

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Veröffentlicht in:	International journal of parallel programming Jg. 50; H. 5-6; S. 454 - 485
Hauptverfasser:	Löff, Júnior, Hoffmann, Renato B., Pieper, Ricardo, Griebler, Dalvan, Fernandes, Luiz G.
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	New York Springer US 01.12.2022 Springer Nature B.V
Schlagworte:	Big Data C plus plus C++ (programming language) Communication Computer Science Data transmission Distributed processing Experiments Handwriting Interfaces Java Message passing Parallel processing Parallel programming Processor Architectures Programmers Programming languages Software Engineering/Programming and Operating Systems Special Issue on High-Level Parallel Programming and Applications 2021 Theory of Computation Stream processing Parallel programming Distributed systems Parallel patterns MPI
ISSN:	0885-7458, 1573-7640
Online-Zugang:	Volltext
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