GPU-based Parallel Implementation of Swarm Intelligence Algorithms

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Ying Tan (Professor, National Laboratory on Machine Perception, Department of Intelligence Science, School of Electronic Engineering and Computer Science, Peking University, Beijing, China)

GPU-based Parallel Implementation of Swarm Intelligence Algorithms

Ying Tan (Professor, National Laboratory on Machine Perception, Department of Intelligence Science, School of Electronic Engineering and Computer Science, Peking University, Beijing, China)

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English

Morgan Kaufmann Publishers In
05 April 2016

Grid & parallel computing; Computer programming & software development; Algorithms & data structures; Distributed systems

GPU-based Parallel Implementation of Swarm Intelligence Algorithms combines and covers two emerging areas attracting increased attention and applications: graphics processing units (GPUs) for general-purpose computing (GPGPU) and swarm intelligence. This book not only presents GPGPU in adequate detail, but also includes guidance on the appropriate implementation of swarm intelligence algorithms on the GPU platform.

GPU-based implementations of several typical swarm intelligence algorithms such as PSO, FWA, GA, DE, and ACO are presented and having described the implementation details including parallel models, implementation considerations as well as performance metrics are discussed. Finally, several typical applications of GPU-based swarm intelligence algorithms are presented. This valuable reference book provides a unique perspective not possible by studying either GPGPU or swarm intelligence alone.

This book gives a complete and whole picture for interested readers and new comers who will find many implementation algorithms in the book suitable for immediate use in their projects. Additionally, some algorithms can also be used as a starting point for further research.

By: Ying Tan (Professor National Laboratory on Machine Perception Department of Intelligence Science School of Electronic Engineering and Computer Science Peking University Beijing China)
Imprint: Morgan Kaufmann Publishers In
Country of Publication: United States
Dimensions: Height: 234mm, Width: 191mm, Spine: 14mm
Weight: 570g
ISBN: 9780128093627
ISBN 10: 0128093625
Pages: 256
Publication Date: 05 April 2016
Audience: Professional and scholarly , Undergraduate
Format: Paperback
Publisher's Status: Active

Preface1 Introduction2 GPGPU: General Purpose Computing on the GPU3 Parallel Models4 Performance Measurements5 Implementation Considerations6 GPU-based Particle Swarm Optimization7 GPU-based Fireworks Algorithm8 Attract-Repulse Fireworks Algorithm Using Dynamic Parallelism9 Other Typical Swarm Intelligence Algorithms based on GPUs 10 GPU-based Random Number Generators11 Applications12 A CUDA-Based Test SuitAppendices

Ying 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