|Location||Burlington Hotel, Dublin, Ireland, 13 July 2011|
|8:30 - 8:40||Start Welcome||Simon Harding|
|8:40 - 9:05||Bitwise Operations for GPU Implementation of Genetic Algorithms||439-406||Martin Pedemonte, Enrique Alba and Francisco Luna||Simon Harding|
|9:05 - 9:30||Acceleration of Genetic Algorithms for Sudoku Solution on Many-Core Processors||407-414||Yuji Sato, Naohiro Hasegawa and Mikiko Sato||slides pic|
|9:30 - 9:55||Acceleration of Grammatical Evolution Using Graphics Processing Units||431-438||Petr Pospichal, Eoin Murphy, Michael O'Neill, Josef Schwarz and Jiri Jaros||pic|
|9:55 - 10:20||Discussion: suggested topics AI techniques yet to be implemented on GPUs||audience||pic||Bill Langdon|
|10:20 - 10:40||Break|
|10:40 - 11:05||Debugging CUDA||415-422||W. B. Langdon||slides||Tony Lewis|
|11:05 - 11:30||Performing with CUDA||423-430||W. B. Langdon||slides|
|11:30 - 11:55||Implementing Cartesian Genetic Programming Classifiers on Graphics Processing Units using GPU.NET||463-470||Simon Harding and Wolfgang Banzhaf|
|11:55 - 12:20||Discussion:
Best Practices for Machine Learning using GPGPU Programming (Our Latest
With the idea being that we discuss surprises we discovered in using APIs or hardware that we think others in the field could benefit from (rather than make the same mistakes we did).
|12:20 - 14:00||Lunch1||pic p p p p p p p p p p p|
|14:00 - 14:25||Evolving CUDA PTX Programs by Quantum Inspired Linear Genetic Programming||399-406||Leandro Cupertino, Cleomar Silva, Douglas Dias, Marco Aurelio Pacheco, Cristiana Bentes||pic||Bill Langdon|
|14:25 - 14:50||TMBL Kernels for CUDA GPUs Compile Faster Using PTX||455-462||Tony E Lewis and George D Magoulas||slides|
|14:50 - 15:15||Identifying Similarities in TMBL Programs with Alignment to Quicken Their Compilation for GPUs||447-454||Tony E Lewis and George D Magoulas||slides|
|15:15 - 15:50||Competition entrants||Simon Harding||Discussion: Next year's CIGPU||Bill Langdon|
CIGPU 2011 was the fourth workshop on the use of GPUs, games consoles and other consumer hardware for evolutionary algorithms and other computational intelligence techniques.
Due to its speed, price, and availability, there is increasing interest in using mass consumer market commodity hardware for engineering and scientific applications. Mostly this has concentrated upon graphics hardware, particularly GPUs, due to their ability to offer teraflop performance on a desktop using a restricted form of parallel computing. There is also increasing interest in using the computing power of game consoles such as the Xbox, Playstation and Cell processor, and portable entertainment and/or cellular phone mobile devices for research and applications.
Submissions are invited in (but not limited to) the following areas:
Simon Poulding Juan Lanchares Davila J Ignacio Hidalgo Tien-Tsin Wong Malcolm Heywood
The workshop was held in conjunction with the tutorial "Accelerating Evolutionary Computation with Graphics Processing Units".
There was also a GECCO 2011 competition on GPUs for Genetic and Evolutionary Computation.
More details can be found at : http://www.gpgpgpu.com/gecco2011/
|Simon Harding||IDSIA, Switzerland|
|Bill Langdon||University College London|
|Man Leung Wong||Lingnan University, Hong Kong|
|Tony Lewis||Birkbeck, University of London|
|Garnett Wilson||Memorial University, Canada|