GPU based Parallel Implementation of Swarm Intelligence Algorithms

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. Presents a concise but sufficient introduction to general-purpose GPU computing which can help the layman become familiar with this emerging computing technique Describes implementation details, such as parallel models and performance metrics, so readers can easily utilize the techniques to accelerate their algorithmic programs Appeals to readers from the domain of high performance computing (HPC) who will find the relatively young research domain of swarm intelligence very interesting 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

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  • Author : Ying Tan
  • Publisher : Morgan Kaufmann
  • Pages : 256 pages
  • ISBN : 0128093641
  • Rating : 4/5 from 21 reviews
CLICK HERE TO GET THIS BOOKGPU based Parallel Implementation of Swarm Intelligence Algorithms

GPU-based Parallel Implementation of Swarm Intelligence Algorithms

GPU-based Parallel Implementation of Swarm Intelligence Algorithms
  • Author : Ying Tan
  • Publisher : Morgan Kaufmann
  • Release : 15 April 2016
GET THIS BOOKGPU-based Parallel Implementation of Swarm Intelligence Algorithms

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

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  • Release : 29 August 2018
GET THIS BOOKTime-Space, Spiking Neural Networks and Brain-Inspired Artificial Intelligence

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  • Publisher : Springer Nature
  • Release : 03 March 2020
GET THIS BOOKIntelligent Information and Database Systems

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GET THIS BOOKParallel Computing: Technology Trends

The year 2019 marked four decades of cluster computing, a history that began in 1979 when the first cluster systems using Components Off The Shelf (COTS) became operational. This achievement resulted in a rapidly growing interest in affordable parallel computing for solving compute intensive and large scale problems. It also directly lead to the founding of the Parco conference series. Starting in 1983, the International Conference on Parallel Computing, ParCo, has long been a leading venue for discussions of important developments, applications, and

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  • Publisher : CRC Press
  • Release : 21 November 2013
GET THIS BOOKDesigning Scientific Applications on GPUs

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  • Publisher : Springer
  • Release : 11 October 2015
GET THIS BOOKFireworks Algorithm

This book is devoted to the state-of-the-art in all aspects of fireworks algorithm (FWA), with particular emphasis on the efficient improved versions of FWA. It describes the most substantial theoretical analysis including basic principle and implementation of FWA and modeling and theoretical analysis of FWA. It covers exhaustively the key recent significant research into the improvements of FWA so far. In addition, the book describes a few advanced topics in the research of FWA, including multi-objective optimization (MOO), discrete FWA (

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GET THIS BOOKMassively Parallel Evolutionary Computation on GPGPUs

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GET THIS BOOKParallel Metaheuristics

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GET THIS BOOKGPU Computing Gems Emerald Edition

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  • Publisher : Academic Press
  • Release : 24 April 2020
GET THIS BOOKNature-Inspired Computation and Swarm Intelligence

Nature-inspired computation and swarm intelligence have become popular and effective tools for solving problems in optimization, computational intelligence, soft computing and data science. Recently, the literature in the field has expanded rapidly, with new algorithms and applications emerging. Nature-Inspired Computation and Swarm Intelligence: Algorithms, Theory and Applications is a timely reference giving a comprehensive review of relevant state-of-the-art developments in algorithms, theory and applications of nature-inspired algorithms and swarm intelligence. It reviews and documents the new developments, focusing on nature-inspired

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  • Publisher : Elsevier
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GET THIS BOOKNature-Inspired Optimization Algorithms

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GET THIS BOOKNature-Inspired Computing: Concepts, Methodologies, Tools, and Applications

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GET THIS BOOKMetaheuristics

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