DocumentCode
1677662
Title
Solving one-dimensional IHCP with particle swarm optimization using graphics accelerators
Author
Szenasi, Sandor ; von Neumann, John ; Felde, Imre ; Kovacs, Istvan
Author_Institution
Fac. of Inf., Obuda Univ., Budapest, Hungary
fYear
2015
Firstpage
365
Lastpage
369
Abstract
There are several implicit and explicit formulations to solve the Inverse Heat Conduction Problem. One of the most promising methods is the Particle Swarm Optimization; however, it needs a long time to find solutions for large scale problems (large swarm populations). This paper presents the implementation and the evaluation of a parallel approach using graphics accelerators. This GPU implementation is about three times faster than the original CPU based method.
Keywords
graphics processing units; heat conduction; parallel processing; particle swarm optimisation; physics computing; CPU based method; GPU implementation; graphics accelerators; inverse heat conduction problem; large scale problems; one-dimensional IHCP; parallel approach; particle swarm optimization; Graphics processing units; Heat transfer; Informatics; Instruction sets; Particle accelerators; Particle swarm optimization; Runtime;
fLanguage
English
Publisher
ieee
Conference_Titel
Applied Computational Intelligence and Informatics (SACI), 2015 IEEE 10th Jubilee International Symposium on
Conference_Location
Timisoara
Type
conf
DOI
10.1109/SACI.2015.7208230
Filename
7208230
Link To Document