Paper Info
Title
Parallelizing the Computation of Green Functions for Computational Electromagnetism Problems
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.
Year
DOI
Venue
2012
10.1109/IPDPSW.2012.174
IPDPS Workshops
Keywords
Field
DocType
computational system,green functions,execution time,green function,multicore node,computational electromagnetism,multicore laptop,computational electromagnetism problems,large execution time,available computational system,big problem,real time,algorithm design and analysis,greedy algorithms,instruction sets,parallel processing,message passing,integral equations,parallel computing,shared memory
Algorithm design,Green's function,Shared memory,Computer science,Instruction set,Parallel computing,Greedy algorithm,Computational science,Graphics processing unit,Multi-core processor,Message passing,Distributed computing
Conference
ISSN
Citations 
PageRank 
2164-7062
0
0.34
References 
Authors
0
4
Name
Order
Citations
PageRank
Carlos Perez-Alcaraz100.34
Domingo Gimenez2324.19
Alejandro Alvarez-Melcon300.34
Fernando D. Quesada400.34