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All Journal Data Science: Journal of Computing and Applied Informatics
Majid Abdulrozzagh-Nezzad
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Computer Science & IT

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Study of Scheduling in Programming Languages of Multi-Core Processor Mina Hosseini-Rad; Majid Abdulrozzagh-Nezzad; Seyyed-Mohammad Javadi-Moghaddam
Data Science: Journal of Computing and Applied Informatics Vol. 2 No. 2 (2018): Data Science: Journal of Computing and Applied Informatics (JoCAI)
Publisher : Talenta Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (759.231 KB) | DOI: 10.32734/jocai.v2.i2-282

Abstract

Over the recent decades, the nature of multi core processors caused changing the serial programming model to parallel mode. There are several programming languages for the parallel multi core processors and processors with different architectures that these languages have faced programmers to challenges to achieve higher performance. In additional, different scheduling methods in the programming languages for the multi core processors have significant impact on efficiency of the programming languages. Therefore, this article addresses the investigation of the conventional scheduling techniques in the programming languages of multi core processors which allows researcher to choose more suitable programing languages by comparing efficiency than application. Several languages such as Cilk++، OpenMP، TBB and PThread were studied and their scheduling efficiency has been investigated by running Quick-Sort and Merge-Sort algorithms as well
Co-Authors Mina Hosseini-Rad Seyyed-Mohammad Javadi-Moghaddam