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OverviewFull Product DetailsAuthor: Ying Tan (Professor, National Laboratory on Machine Perception, Department of Intelligence Science, School of Electronic Engineering and Computer Science, Peking University, Beijing, China)Publisher: Elsevier Science & Technology Imprint: Morgan Kaufmann Publishers In Dimensions: Width: 19.10cm , Height: 1.40cm , Length: 23.40cm Weight: 0.570kg ISBN: 9780128093627ISBN 10: 0128093625 Pages: 256 Publication Date: 31 March 2016 Audience: Professional and scholarly , Professional & Vocational Format: Paperback Publisher's Status: Active Availability: Manufactured on demand  We will order this item for you from a manufactured on demand supplier. Table of ContentsPreface 1 Introduction 2 GPGPU: General Purpose Computing on the GPU 3 Parallel Models 4 Performance Measurements 5 Implementation Considerations 6 GPU-based Particle Swarm Optimization 7 GPU-based Fireworks Algorithm 8 Attract-Repulse Fireworks Algorithm Using Dynamic Parallelism 9 Other Typical Swarm Intelligence Algorithms based on GPUs 10 GPU-based Random Number Generators 11 Applications 12 A CUDA-Based Test Suit AppendicesReviewsAuthor InformationYing Tan is a professor and PhD advisor at the School of Electronics Engineering and Computer Science of Peking University, and director of Computational Intelligence Laboratory at Peking University (PKU). He received his BEng from the EEI, MSc from Xidian Univ., and PhD from Southeast Univ., in 1985, 1988, and 1997, respectively. From 1997, he was a postdoctoral fellow then an associate professor at University of Science and Technology of China (USTC), then served as director of Institute of Intelligent Information Science and a full professor since 2000. He worked with the Chinese University of Hong Kong (CUHK) in 1999 and 2004-2005. He was elected for the 100 talent program of the Chinese Academy of Science (CAS) in 2005 Tab Content 6Author Website:Countries AvailableAll regions |
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