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CIGPU 2010 - CALL FOR PAPERS
Computational Intelligence on Consumer Games and Graphics Hardware (CIGPU 2010)
As part of:
IEEE World Congress on Computational Intelligence Conference 2010 (WCCI-2010)
The remarkable speed and price benefits of applying massively parallel graphics hardware, such as the GPU, to scientific computing tasks are becoming much more widely known and are attracting a great deal of interest. In computational intelligence (CI), there have already been impressive demonstrations of the power of this technology but the research area is still developing rapidly. There is much work to be done on questions such as how to make this raw power easily accessible for general CI research, how to apply it to new CI fields and how to continue to get the most out of it as the technology develops. There is also increasing interest in the use of related technologies found in game consoles such as Microsoft’s Xbox, Sony’s Playstation and the Cell processor, and in portable entertainment and cellular phone mobile devices.
Building on the success of previous CIGPU sessions and workshops, CIGPU 2010 will further explore the role that these technologies can play in CI research. Submissions of original research are invited on the use of parallel graphics hardware for computational intelligence. Work might involve exploring new techniques for exploiting the hardware, new algorithms to implement on the hardware, new applications for accelerated CI, new ways of making the technology available to CI researchers or the utilisation of the next generation of technologies.
Anyone who has implemented any computational intelligence technique using any parallel graphics hardware (or related - see below) will want to submit to this special session.
Examples of appropriate platforms and types of hardware include but are not limited to :
- Graphics cards and GPGPU platforms (such as CUDA, OpenCL etc)
- Portable devices (such as cell phones, PDA etc)
- Gaming consoles and their processors (such as Playstation (and the Cell), Xbox etc)
- Other mass market parallel electronic hardware
Examples of appropriate CI techniques include but are not limited to :
- Artificial Neural Networks
- Bayesian Networks
- Computational Biology or Bioinformatics
- Data mining
- Differential Evolution
- Evolutionary Computation (such as genetic programming, genetic algorithms, evolutionary programming etc)
- Fuzzy Logic
- Hybrid computational intelligence techniques
- Parallel search algorithms
- Support Vector Machines
Special Session Website
Submission deadline: 31st January 2010
Page limit: 8 pages.
Please see the WCCI 2010 site (www.wcci2010.org) from more details.
Special Session Chairs
Dr Simon Harding
Department of Computer Science
Memorial University of Newfoundland, Canada
Dr W B Langdon
Department of Computer Science
King’s College London, UK
Department of Computer Science and Information Systems
Birkbeck, University of London, UK
Dr Man Leung Wong
Department of Computing and Decision Sciences
Lingnan University, Hong Kong