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Shared Memory Architecture based Parallel Programming for RCS Estimation

Authors: P S Shibu; null Atul; Balamati Choudhury; Raveendranath U Nair;

Shared Memory Architecture based Parallel Programming for RCS Estimation

Abstract

Parallel programming techniques have been prominently explored in various engineering applications as it provides a time efficient solution to the complex problems without affecting the accuracy. Parallel programming approach for solving complex electromagnetic problems with the requirement of huge computational power has been a thrust area of research. This paper focuses on shared memory parallel programming model for RCS estimation of electrically large structures such as cylindrical duct and a solid cylinder with surfaces of concave and convex in nature. In this paper OpenMP API and parallel computing toolbox in MATLAB are utilized to simulate a parallel program on a shared memory architecture. An exponential decrease in computation time has been through a classical RCS estimation problem.

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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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