Automatic code parallelization for data-intensive computing in multicore systems

A major driving force behind the increasing popularity of data science is the increasing need for data-driven analytics fuelled by massive amounts of complex data. Increasingly, parallel processing has become a cost-effective method for computationally large and data-intensive problems. Many existin...

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Veröffentlicht in:	Journal of physics. Conference series Jg. 1411; H. 1; S. 12014 - 12022
Hauptverfasser:	Subramanian, Ranjini, Zhang, Hui
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Bristol IOP Publishing 01.11.2019
Schlagworte:	Microprocessors Parallel processing Parallel programming Physics
ISSN:	1742-6588, 1742-6596
Online-Zugang:	Volltext
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