|Location||Brisbane, Australia, Brisbane Convention & Exhibition Centre, 10-15 June 2012. Weather|
|Automatic Implementation of Evolutionary Algorithms on GPUs using ESDL||dx||Steve DowerP||Yuji Sato|
|Implementation of Histogram Based Sampling Algorithm within an EDA Scheme with CUDA||dx||Shigeyoshi Tsutsui and Noriyuki FujimotoP|
|Restricted Boltzmann Machines and Deep Belief Networks on Multi-Core Processors||dx||Noel Lopes, Bernardete RibeiroP and Joao Goncalves||pdf pic pic|
|Scalable Multi-Precision Simulation of Spiking Neural Networks on GPU with OpenCL||dx||Dmitri YudanovP, Leon Reznik||Nikola Kasabov|
|Parallel Exhaustive Search vs. Evolutionary Computation in a Large Real World Network Search Space||dx||Garnett WilsonP, Simon Harding, Orland Hoeber, Rodolphe Devillers and Wolfgang Banzhaf||Daniel Ashlock|
|Multi-GPU Island-Based Genetic Algorithm for Solving the Knapsack Problem||dx||Jiri Jaros||Poster Paper||Bob McKay|
Presenting author marked P
Since it promises huge amounts of cheap computation there is great interest in using mass consumer market commodity hardware for engineering and scientific applications. This tends concentrated upon graphics hardware, particularly GPUs. However there is also increasing interest in using games consoles such as Microsoft's Xbox, Sony's Playstation and the Cell processor, for research and applications. In future personal computer physics engines, which are intended to provide realistic real time simulation of multi-body physics for sophisticated games, may also be adapted to serve science (rather than simulate it). With their blend of computing and sensors, eg 3D real time positioning, mobile cellular telephones, tablets and gaming devices such as the Nintendo Wii, also offer platforms for novel computational intelligence applications.
The use of commodity graphics hardware for scientific computing (often referred to as General Purpose computing on Graphics Processing Units, GPGPU) has become established. However, their use in computational intelligence continues to increase. GPUs provide a very restricted type of parallel processing. CIGPU-2012 will spread knowledge of up to date tools and techniques that are required to get the best from these widely available but difficult to fully exploit consumer hardware. The special session will allow researchers to demonstrate the new types of CI applications that can be implemented on this form of hardware. We expect the computational power of these devices will enable significant advances in fuzzy, evolutionary computation and artificial neural network processing.
W. B. Langdon,
Department of Computer Science,
University College London,
Gower Street, London WC1E 6BT, UK
Man Leung Wong, mlwong@ Department of Computing & Decision Sciences, Lingnan University, Hong Kong ln.edu.hk
Yuji Sato, yuji@ Faculty of Computer and Information Sciences, Hosei University, Japan k.hosei.ac.jp
Papers submitted for special sessions were peer-reviewed with the same criteria used for other papers submitted to WCCI.
Markus Geveler, Ugo Erra, Nicolas Pinto, Martin Wong, David P. Anderson, Sander Bohte, Timothy Gosling, Peter Bui, John Rieffel, Chao-Hui Huang, Katsunari Shibata, Ganesh Kumar Venayagamoorthy, Yasue Mitsukura, Ying Zhuge, Tomoharu Nakashima, Noriyuki Fujimoto, Francisco Fernandez, Simon Poulding, Juan Lanchares Davila, J Ignacio Hidalgo, Shigeyoshi Tsutsui, Garnett Wilson, Tien-Tsin Wong, Denis Robilliard, Tony Lewis, Tomoharu Nagao, M. R. Akbarzadeh-T, Lidia Yamamoto, Prabhas Chongstitvatana, Masaharu Munetomo, Ikuo Yoshihara