DocumentCode :
3000373
Title :
Parallelizing the Computation of Green Functions for Computational Electromagnetism Problems
Author :
Pérez-Alcaraz, Carlos ; Giménez, Domingo ; Álvarez-Melcón, Alejandro ; Quesada, Fernando D.
Author_Institution :
Dept. de Inf. y Sist., Univ. of Murcia, Murcia, Spain
fYear :
2012
fDate :
21-25 May 2012
Firstpage :
1370
Lastpage :
1377
Abstract :
Green functions are used in various fields to solve non homogeneous integral equations with boundary conditions. In some cases it is necessary to obtain these functions in real time or they are used for big problems with a large execution time which should be reduced. To do so, efficient algorithms for the available computational systems must be developed. With the evolution of technology, the computational systems are now parallel, with multicore laptops or desktops with programmable graphic processing units, and with clusters or supercomputers composed by multicore nodes. In this paper, algorithms for Green functions using different parallelism paradigms are developed and compared. The Green functions used are from computational electromagnetism, and important reductions in the execution time are obtained for typical problems with the implemented algorithms.
Keywords :
graphics processing units; greedy algorithms; integral equations; computational electromagnetism problems; computational systems; green functions; multicore desktops; multicore laptops; nonhomogeneous integral equations; parallelism paradigms; programmable graphic processing units; Algorithm design and analysis; Graphics processing unit; Green function; Instruction sets; Observers; Parallel processing; Spectral analysis; GPU; Green function; computational electromagnetism; hybrid parallelism; message-passing; parallel computing; shared-memory;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Parallel and Distributed Processing Symposium Workshops & PhD Forum (IPDPSW), 2012 IEEE 26th International
Conference_Location :
Shanghai
Print_ISBN :
978-1-4673-0974-5
Type :
conf
DOI :
10.1109/IPDPSW.2012.174
Filename :
6270804
Link To Document :
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