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Journal of Kufa for Mathematics and Computer
Article . 2018 . Peer-reviewed
License: CC BY
Data sources: Crossref
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Implicit in the development of parallel programming language using Visual Basic

Authors: Zainab fahad mhawes al-naseri;

Implicit in the development of parallel programming language using Visual Basic

Abstract

Several studies have been performed to investigate the benefits of parallel programming models, and compared the models with same language family. The parallel technique is applicable only when the programmer has a single computer with multiple processors to perform various tasks individually or the programmer number of different computers connected by a single network. Parallel programming model in computing is an idea of parallel computer architecture. This research introduced the concept of parallel programming models and languages. The present research mainly focused on the different parallel programming models proposed by previous researchers using distinct programming languages. Through analyzing the strengths and weaknesses of various programming models used for parallel computing, a new model is developed. Along with this, the concept of OOP (Object-oriented programming) in the context of parallel computing is also discussed. This research proposed a model named as Asynchronous Dynamic load Balancing (ADLB). ADLB model used MPI as avehicle for library implementation rather as an end-user programming system.

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Keywords

Parallel computing, OOP., Parallel programming, QA1-939, MPI, Xcalable or XMP, Mathematics, Programming language

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
gold