|8:00 - 8:20||Data Mining Using Parallel Multi-Objective Evolutionary Algorithms on Graphics Hardware||Man Leung Wong and Geng Cui||abs pdf doi||pic|
|8:20 - 8:40||GPU-Based Simulation of Spiking Neural Networks with Real-Time Performance & High Accuracy||Dmitri Yudanov, Muhammad Shaaban, Roy Melton, Leon Reznik||abs pdf doi||slides||pic|
|8:40 - 9:00||High-Performance Bankruptcy Prediction Model using Graphics Processing Units||Bernardete Ribeiro Noel Lopes||abs pdf doi||pic|
|9:00 - 9:20||FPGA Implementation of a Support Vector Machine for Classification and Regression||Marta Ruiz-Llata, Guillermo Guarnizo and Mar Yebenes-Calvino||abs pdf doi||pic|
|9:20 - 9:40||Neuromorphic Algorithms on Clusters of PlayStation 3s||Tarek M. Taha, Pavan Yalamanchili, Mohammad Bhuiyan, Rommel Jalasutram, Chong Chen and Richard Linderman||abs pdf doi||pic|
|9:40 - 10:00||Porting Autodock to CUDA||Sarnath Kannan and Raghavendra Ganji||abs pdf doi||pic|
|CIGPU second session 11:30 - 12:50||pic|
|11:30 - 11:50||PUGACE, A Cellular Evolutionary Algorithm framework on GPUs||Nicolas Soca, Jose Luis Blengio, Martin Pedemonte and Pablo Ezzatti||abs pdf doi||slides||pic|
|11:50 - 12:10||Evolving a CUDA Kernel from an nVidia Template||W. B. Langdon and M. Harman||abs pdf doi||slides code||pic|
|12:10 - 12:30||Parallel Hybrid Evolutionary Algorithms on GPU||The Van Luong, Nouredine Melab and El-Ghazali Talbi||abs pdf doi||pic|
|12:30 - 12:50||An Analytical Study of GPU Computation for Solving QAPs by Parallel Evolutionary Computation with Independent Run||Shigeyoshi Tsutsui and Noriyuki Fujimoto||abs pdf doi||slides||pic|
|Other pictures: 1 2 3 4 5 6 7|
Every room was equipped with an LCD projector and a laptop with Windows, PowerPoint and Acrobat PDF reader. The authors should try to use the available equipment instead of their personal laptop.
Authors should contact the session chair before the session starts and upload their presentation file on the available laptop. Please arrive early enough to find out the session chair and to tell him/her your name, affiliation and paper title.
Authors that must imperatively use their personal laptop (in case of special software needs or major compatibility problems), must check the connection with the projector before the session starts. Notice: time lost in setting up personal laptops during the session cannot be recovered and will result in a shorter presentation time.
The total presentation time is 20 minutes. This includes speaker transition, the setting of the computer (if needed), and questions & answers. Each speaker should finish his/her talk in 15 or 16 minutes in order to allow time for discussion.
Computer Science Department
Memorial University of Newfoundland
Tony Lewis, tony@ London Knowledge Lab dcs.bbk.ac.uk
W. B. Langdon, william langdon@ CREST lab, Department of Computer Science, King's College London, kcl.ac.uk
Man Leung Wong, mlwong@ Department of Computing & Decision Sciences, Lingnan University, Hong Kong ln.edu.hk
Authors of papers on research or applications in any area of computational intelligence or machine learning (be it neural networks, fuzzy logic, evolutionary, genetic, tabu, simulated annealing, search based, etc.) running on graphics hardware, Larrabee, portable devices, gamming consoles, Sony playstation, Xbox, cell phones, PDA, mobile devices or other mass market electronic hardware were invited to submit their work to CIGPU-2010. Of particular interest was new research, demonstrations and soft and real time applications using parallel mega threaded architectures, Cuda, OpenCL, ATI nVidia or other GPGPU platforms.
The third CIGPU was held as part of the IEEE world congress on computational intelligence in Spain 18-23 July 2010.
Papers submitted for special sessions were peer-reviewed with the same criteria used for the contributed papers.
He has published widely in computational intelligence, unconventional computing, genetic programming and artificial developmental systems. He is currently a researcher at Memorial University, Canada. Dr Harding previously co-organised CIGPU in 2008 and 2009. This year he gave an invited tutorial on genetic programming on GPUs at Fifth Latin-American Summer School on Computational Intelligence, in Chile. He has several publications on GPU programming, including the first paper describing general purpose genetic programming on GPUs. Dr Harding also administers the gpgpgpu.com web page.
His research interests are data mining, machine learning, knowledge acquisition, and approximate reasoning. He has authored and co-authored over 80 papers and 1 book. His articles on these topics have been published in Management Science, Decision Support Systems, IEEE Transactions on Evolutionary Computation, IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Systems, Man, and Cybernetic, IEEE Intelligent Systems, IEEE Engineering in Medicine and Biology, Expert Systems with Applications, Journal of the American Society for Information Science and Technology, Fuzzy Sets and Systems, International Journal of Approximate Reasoning, etc. He received Lingnan University Research Excellence Award.
He has served in the organising and program committees of a number of international conferences including the Sixth IEEE International Conference Conference on Data Mining which was held in Hong Kong.
Dr. Wong and his colleagues started their work in CIGPU in 2003. The research has been recognised by the community of evolutionary computation and the results have been published in the journal IEEE Intelligent Systems, IEEE CEC 2005, and IEEE CEC 2006.