GPU-Based Parallel Implementation of Swarm Intelligence Algorithms DOC, DJV
9780128093641 English 0128093641 GPU-based Parallel Implementation of Swarm Intelligence Algorithms, Graphics processing units (GPUs) for general-purpose computing (GPGPU) and swarm intelligence are two emerging areas which are attracting increasing attention and applications. GPU-based Parallel Implementation of Swarm Intelligence Algorithms combines these two areas. 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. In this book, 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. This book is primarily intended for researchers, engineers, graduates and senior undergraduates with interests in parallel implementation of the novel swarm intelligence algorithms such as particle swarm optimization, fireworks algorithms, genetic algorithms, and their applications. Presents a not over-lengthy but sufficient introduction to general-purpose GPU computing which can help the layman to get familiar with this emerging computing technique. Describes implementation details, such as parallel models, implementation considerations as well as performance metrics, so that readers can easily utilize the techniques to accelerate their algorithmic programs. Readers from the domain of high performance computing (HPC) will find the relatively young research domain of swarm intelligence, very interesting and HPC plays an increasingly key role in this emerging area. Includes many real-world applications, which can be of great help in deciding whether or not swarm intelligence algorithms or GPGPU is appropriate for the task at hand.
9780128093641 English 0128093641 GPU-based Parallel Implementation of Swarm Intelligence Algorithms, Graphics processing units (GPUs) for general-purpose computing (GPGPU) and swarm intelligence are two emerging areas which are attracting increasing attention and applications. GPU-based Parallel Implementation of Swarm Intelligence Algorithms combines these two areas. 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. In this book, 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. This book is primarily intended for researchers, engineers, graduates and senior undergraduates with interests in parallel implementation of the novel swarm intelligence algorithms such as particle swarm optimization, fireworks algorithms, genetic algorithms, and their applications. Presents a not over-lengthy but sufficient introduction to general-purpose GPU computing which can help the layman to get familiar with this emerging computing technique. Describes implementation details, such as parallel models, implementation considerations as well as performance metrics, so that readers can easily utilize the techniques to accelerate their algorithmic programs. Readers from the domain of high performance computing (HPC) will find the relatively young research domain of swarm intelligence, very interesting and HPC plays an increasingly key role in this emerging area. Includes many real-world applications, which can be of great help in deciding whether or not swarm intelligence algorithms or GPGPU is appropriate for the task at hand.