Solving one-dimensional IHCP with particle swarm optimization using graphics accelerators
Sándor Szénási, John von Neumann, Imre Felde, István Z. Kovács · 2015
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.