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A Java Hybrid Compiler for Shared Memory Parallel Programming

Authors: Abdourahmane Senghor; Karim Konate;

A Java Hybrid Compiler for Shared Memory Parallel Programming

Abstract

The purpose of this paper is to design and implement a hybrid compiler that combines JOMP's directives with javar's annotations in order to obtain a more performing compiler. This is an original approach and consists of pooling the advantages of those two compilers while fixing some of their issues. However the achievement of this aim is facing the issue of the difference of implementation of these two compilers because JOMP is implemented in Java while javar is implemented in C language. We propose to entirely reimplement javar in Java by using JavaCC. Thereafter, we present the implementation of the hybrid compiler. In the experiments, we propose to parallelize the matrix sort program by using this hybrid compiler. The results of experiments and the mathematical demonstration lead us to state that dealing with this hybrid compiler gives performances better or equal to the best one between javar and JOMP.

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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!
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Average
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