Using Machine Learning Techniques to Detect Parallel Patterns of Multi-threaded Applications

Multicore hardware and software are becoming increasingly more complex. The programmability problem of multicore software has led to the use of parallel patterns. Parallel patterns reduce the effort and time required to develop multicore software by effectively capturing its thread communication and...

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Vydáno v:	International journal of parallel programming Ročník 44; číslo 4; s. 867 - 900
Hlavní autoři:	Deniz, Etem, Sen, Alper
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	New York Springer US 01.08.2016 Springer Nature B.V
Témata:	Accuracy Analysis Benchmarks Central processing units Communication Computer programming Computer programs Computer Science CPUs Data retrieval Decision trees Design Designers Experiments Feature selection Hardware Information sharing Machine learning Optimization Parallel processing Pattern recognition Principal components analysis Processor Architectures Software Software Engineering/Programming and Operating Systems Studies Theory of Computation Pattern detection Multicore software Parallel programming Parallel patterns Multi-threaded applications
ISSN:	0885-7458, 1573-7640
On-line přístup:	Získat plný text
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