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The Resource GPU-based parallel implementation of swarm intelligence algorithms, Ying Tan

GPU-based parallel implementation of swarm intelligence algorithms, Ying Tan

Label
GPU-based parallel implementation of swarm intelligence algorithms
Title
GPU-based parallel implementation of swarm intelligence algorithms
Statement of responsibility
Ying Tan
Creator
Author
Subject
Language
eng
Summary
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
Member of
Cataloging source
N$T
http://library.link/vocab/creatorDate
1964-
http://library.link/vocab/creatorName
Tan, Ying
Dewey number
006.3/824
Index
index present
LC call number
Q337.3
Literary form
non fiction
Nature of contents
  • dictionaries
  • bibliography
http://library.link/vocab/subjectName
Swarm intelligence
Label
GPU-based parallel implementation of swarm intelligence algorithms, Ying Tan
Instantiates
Publication
Copyright
Antecedent source
unknown
Carrier category
online resource
Carrier category code
cr
Carrier MARC source
rdacarrier
Color
multicolored
Content category
text
Content type code
txt
Content type MARC source
rdacontent
Contents
Introduction -- GPGPU: general purpose computing on the GPU -- Parallel models -- Performance metrics -- Implementation considerations -- GPU-based particle swarm optimization -- GPU-based fireworks algorithm -- Attract-repulse fireworks algorithm using dynamic parallelism -- Other typical swarm intelligence algorithms based on GPUs -- GPU-based random number generators -- Applications -- A CUDA-based test suit
Dimensions
unknown
Extent
1 online resource
File format
unknown
Form of item
online
Isbn
9780128093627
Level of compression
unknown
Media category
computer
Media MARC source
rdamedia
Media type code
c
Other control number
40026057148
Quality assurance targets
not applicable
Reformatting quality
unknown
Sound
unknown sound
Specific material designation
remote
System control number
  • ocn946997805
  • (OCoLC)946997805
Label
GPU-based parallel implementation of swarm intelligence algorithms, Ying Tan
Publication
Copyright
Antecedent source
unknown
Carrier category
online resource
Carrier category code
cr
Carrier MARC source
rdacarrier
Color
multicolored
Content category
text
Content type code
txt
Content type MARC source
rdacontent
Contents
Introduction -- GPGPU: general purpose computing on the GPU -- Parallel models -- Performance metrics -- Implementation considerations -- GPU-based particle swarm optimization -- GPU-based fireworks algorithm -- Attract-repulse fireworks algorithm using dynamic parallelism -- Other typical swarm intelligence algorithms based on GPUs -- GPU-based random number generators -- Applications -- A CUDA-based test suit
Dimensions
unknown
Extent
1 online resource
File format
unknown
Form of item
online
Isbn
9780128093627
Level of compression
unknown
Media category
computer
Media MARC source
rdamedia
Media type code
c
Other control number
40026057148
Quality assurance targets
not applicable
Reformatting quality
unknown
Sound
unknown sound
Specific material designation
remote
System control number
  • ocn946997805
  • (OCoLC)946997805

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