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GPU-based Parallel Implementation of Swarm Intelligence Algorithms
This cutting-edge book is the first to systematically present GPU-based parallel implementation of swarm intelligence algorithms, providing a unique, dual perspective
Ying Tan (Author)
9780128093627, Elsevier Science
Paperback, published 31 March 2016
256 pages
23.4 x 19 x 1.7 cm, 0.57 kg
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.
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
Subject Areas: Distributed systems [UTR], Algorithms & data structures [UMB], Computer programming / software development [UM], Grid & parallel computing [UKG]
