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
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;
Conference_Titel :
Applied Computational Intelligence and Informatics (SACI), 2015 IEEE 10th Jubilee International Symposium on
Conference_Location :
Timisoara
DOI :
10.1109/SACI.2015.7208230
