Shared Memory Architecture based Parallel Programming for RCS Estimation

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...

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Veröffentlicht in:2018 International Conference on Applied Electromagnetics, Signal Processing and Communication (AESPC) Jg. 1; S. 1 - 5
Hauptverfasser: Shibu, P S, Atul, Choudhury, Balamati, Nair, Raveendranath U
Format: Tagungsbericht
Sprache:Englisch
Veröffentlicht: IEEE 01.10.2018
Schlagworte:
multicore
parallelization
ray tracing
RCS
shared memory architecture
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Zusammenfassung: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.
DOI:10.1109/AESPC44649.2018.9033194