Parallelization Technique using Hybrid Programming Model

A multi-core processor is an integrated circuit that contains multiple core processing unit. For more than two decades, the single-core processors dominated the computing environment. The continuous development of hardware and processors led to the emergence of high-performance computers that able t...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:International journal of advanced computer science & applications Jg. 12; H. 2
Hauptverfasser: Algarni, Abdullah, Alofi, Abdulraheem, Eassa, Fathy
Format: Journal Article
Sprache:Englisch
Veröffentlicht: West Yorkshire Science and Information (SAI) Organization Limited 2021
Schlagworte:
C plus plus
Computer science
Computer simulation
Computers
Integrated circuits
Libraries
Linear algebra
Mathematical analysis
Message passing
Microprocessors
Multiplication
Parallel programming
Processors
Source code
ISSN:2158-107X, 2156-5570
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
Beschreibung
Zusammenfassung:A multi-core processor is an integrated circuit that contains multiple core processing unit. For more than two decades, the single-core processors dominated the computing environment. The continuous development of hardware and processors led to the emergence of high-performance computers that able to address complex scientific and engineering programs quickly. Besides, running the software codes sequentially increases the execution time in huge and complex programs. The serial code is converted to parallel code to improve the program perfor-mances and reduce the execution time. Therefore, parallelization helps programmers solve computing problems efficiently. This study introduced a novel automatic translation tool that converts serial C++ code into a hybrid parallel code. The study analyzed the performance of the proposed S2PMOACC tool using linear algebraic dense matrix multiplication benchmarking. Besides, we introduced Message Passing Interface (MPI) + Open Accelerator (OpenACC) as a hybrid programming model without preliminary knowledge of parallel programming models and dependency analysis of their source code. The research outcomes enhance the program performances and decrease the implementation time. Moreover, our proposed technique offers better performance than other tools.
Bibliographie:ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 14
ISSN:2158-107X
2156-5570
DOI:10.14569/IJACSA.2021.0120285