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Gpu Based Parallel Implementation Of Swarm Intelligence Algorithms

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GPU based Parallel Implementation of Swarm Intelligence Algorithms

GPU based Parallel Implementation of Swarm Intelligence Algorithms Book
Author : Ying Tan
Publisher : Morgan Kaufmann
Release : 2016-04-15
ISBN : 0128093641
Language : En, Es, Fr & De

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Book Description :

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

Parallel Computing Technology Trends

Parallel Computing  Technology Trends Book
Author : I. Foster,G.R. Joubert,L. Kučera
Publisher : IOS Press
Release : 2020-03-25
ISBN : 1643680714
Language : En, Es, Fr & De

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Book Description :

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 future trends in cluster computing, parallel computing, and high-performance computing. ParCo2019, held in Prague, Czech Republic, from 10 – 13 September 2019, was no exception. Its papers, invited talks, and specialized mini-symposia addressed cutting-edge topics in computer architectures, programming methods for specialized devices such as field programmable gate arrays (FPGAs) and graphical processing units (GPUs), innovative applications of parallel computers, approaches to reproducibility in parallel computations, and other relevant areas. This book presents the proceedings of ParCo2019, with the goal of making the many fascinating topics discussed at the meeting accessible to a broader audience. The proceedings contains 57 contributions in total, all of which have been peer-reviewed after their presentation. These papers give a wide ranging overview of the current status of research, developments, and applications in parallel computing.

Time Space Spiking Neural Networks and Brain Inspired Artificial Intelligence

Time Space  Spiking Neural Networks and Brain Inspired Artificial Intelligence Book
Author : Nikola K. Kasabov
Publisher : Springer
Release : 2018-08-29
ISBN : 3662577151
Language : En, Es, Fr & De

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Book Description :

Spiking neural networks (SNN) are biologically inspired computational models that represent and process information internally as trains of spikes. This monograph book presents the classical theory and applications of SNN, including original author’s contribution to the area. The book introduces for the first time not only deep learning and deep knowledge representation in the human brain and in brain-inspired SNN, but takes that further to develop new types of AI systems, called in the book brain-inspired AI (BI-AI). BI-AI systems are illustrated on: cognitive brain data, including EEG, fMRI and DTI; audio-visual data; brain-computer interfaces; personalized modelling in bio-neuroinformatics; multisensory streaming data modelling in finance, environment and ecology; data compression; neuromorphic hardware implementation. Future directions, such as the integration of multiple modalities, such as quantum-, molecular- and brain information processing, is presented in the last chapter. The book is a research book for postgraduate students, researchers and practitioners across wider areas, including computer and information sciences, engineering, applied mathematics, bio- and neurosciences.

Fireworks Algorithm

Fireworks Algorithm Book
Author : Ying Tan
Publisher : Springer
Release : 2015-10-11
ISBN : 3662463539
Language : En, Es, Fr & De

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Book Description :

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 (DFWA) for combinatorial optimization, and GPU-based FWA for parallel implementation. In sequels, several successful applications of FWA on non-negative matrix factorization (NMF), text clustering, pattern recognition, and seismic inversion problem, and swarm robotics, are illustrated in details, which might shed new light on more real-world applications in future. Addressing a multidisciplinary topic, it will appeal to researchers and professionals in the areas of metahuristics, swarm intelligence, evolutionary computation, complex optimization solving, etc.

Intelligent Information and Database Systems

Intelligent Information and Database Systems Book
Author : Ngoc Thanh Nguyen,Kietikul Jearanaitanakij,Ali Selamat,Bogdan Trawiński,Suphamit Chittayasothorn
Publisher : Springer Nature
Release : 2020-03-03
ISBN : 3030419649
Language : En, Es, Fr & De

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Book Description :

The two-volume set LNAI 12033 and 11034 constitutes the refereed proceedings of the 12th Asian Conference on Intelligent Information and Database Systems, ACIIDS 2020, held in Phuket, Thailand, in March 2020. The total of 105 full papers accepted for publication in these proceedings were carefully reviewed and selected from 285 submissions. The papers of the first volume are organized in the following topical sections: Knowledge Engineering and Semantic Web, Natural Language Processing, Decision Support and Control Systems, Computer Vision Techniques, Machine Learning and Data Mining, Deep Learning Models, Advanced Data Mining Techniques and Applications, Multiple Model Approach to Machine Learning. The papers of the second volume are divided into these topical sections: Application of Intelligent Methods to Constrained Problems, Automated Reasoning with Applications in Intelligent Systems, Current Trends in Arti cial Intelligence, Optimization, Learning,and Decision-Making in Bioinformatics and Bioengineering, Computer Vision and Intelligent Systems, Data Modelling and Processing for Industry 4.0, Intelligent Applications of Internet of Things and Data AnalysisTechnologies, Intelligent and Contextual Systems, Intelligent Systems and Algorithms in Information Sciences, Intelligent Supply Chains and e-Commerce, Privacy, Security and Trust in Arti cial Intelligence, Interactive Analysis of Image, Video and Motion Data in LifeSciences.

Parallel Computing Technologies

Parallel Computing Technologies Book
Author : Victor Malyshkin
Publisher : Springer
Release : 2017-08-17
ISBN : 3319629328
Language : En, Es, Fr & De

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Book Description :

This book constitutes the proceedings of the 14th International Conference on Parallel Computing Technologies, PaCT 2017, held in Nizhny Novgorod, Russia, in September 2017. The 25 full papers and 24 short papers presented were carefully reviewed and selected from 93 submissions. The papers are organized in topical sections on mainstream parallel computing, parallel models and algorithms in numerical computation, cellular automata and discrete event systems, organization of parallel computation, parallel computing applications.

Massively Parallel Evolutionary Computation on GPGPUs

Massively Parallel Evolutionary Computation on GPGPUs Book
Author : Shigeyoshi Tsutsui,Pierre Collet
Publisher : Springer Science & Business Media
Release : 2013-12-05
ISBN : 3642379591
Language : En, Es, Fr & De

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Book Description :

Evolutionary algorithms (EAs) are metaheuristics that learn from natural collective behavior and are applied to solve optimization problems in domains such as scheduling, engineering, bioinformatics, and finance. Such applications demand acceptable solutions with high-speed execution using finite computational resources. Therefore, there have been many attempts to develop platforms for running parallel EAs using multicore machines, massively parallel cluster machines, or grid computing environments. Recent advances in general-purpose computing on graphics processing units (GPGPU) have opened up this possibility for parallel EAs, and this is the first book dedicated to this exciting development. The three chapters of Part I are tutorials, representing a comprehensive introduction to the approach, explaining the characteristics of the hardware used, and presenting a representative project to develop a platform for automatic parallelization of evolutionary computing (EC) on GPGPUs. The 10 chapters in Part II focus on how to consider key EC approaches in the light of this advanced computational technique, in particular addressing generic local search, tabu search, genetic algorithms, differential evolution, swarm optimization, ant colony optimization, systolic genetic search, genetic programming, and multiobjective optimization. The 6 chapters in Part III present successful results from real-world problems in data mining, bioinformatics, drug discovery, crystallography, artificial chemistries, and sudoku. Although the parallelism of EAs is suited to the single-instruction multiple-data (SIMD)-based GPU, there are many issues to be resolved in design and implementation, and a key feature of the contributions is the practical engineering advice offered. This book will be of value to researchers, practitioners, and graduate students in the areas of evolutionary computation and scientific computing.

Parallel Architectures and Bioinspired Algorithms

Parallel Architectures and Bioinspired Algorithms Book
Author : Francisco Fernández de Vega,José Ignacio Hidalgo Pérez,Juan Lanchares
Publisher : Springer
Release : 2012-04-27
ISBN : 3642287891
Language : En, Es, Fr & De

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Book Description :

This monograph presents examples of best practices when combining bioinspired algorithms with parallel architectures. The book includes recent work by leading researchers in the field and offers a map with the main paths already explored and new ways towards the future. Parallel Architectures and Bioinspired Algorithms will be of value to both specialists in Bioinspired Algorithms, Parallel and Distributed Computing, as well as computer science students trying to understand the present and the future of Parallel Architectures and Bioinspired Algorithms.

Nature Inspired Design of Hybrid Intelligent Systems

Nature Inspired Design of Hybrid Intelligent Systems Book
Author : Patricia Melin,Oscar Castillo,Janusz Kacprzyk
Publisher : Springer
Release : 2016-12-08
ISBN : 331947054X
Language : En, Es, Fr & De

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Book Description :

This book highlights recent advances in the design of hybrid intelligent systems based on nature-inspired optimization and their application in areas such as intelligent control and robotics, pattern recognition, time series prediction, and optimization of complex problems. The book is divided into seven main parts, the first of which addresses theoretical aspects of and new concepts and algorithms based on type-2 and intuitionistic fuzzy logic systems. The second part focuses on neural network theory, and explores the applications of neural networks in diverse areas, such as time series prediction and pattern recognition. The book’s third part presents enhancements to meta-heuristics based on fuzzy logic techniques and describes new nature-inspired optimization algorithms that employ fuzzy dynamic adaptation of parameters, while the fourth part presents diverse applications of nature-inspired optimization algorithms. In turn, the fifth part investigates applications of fuzzy logic in diverse areas, such as time series prediction and pattern recognition. The sixth part examines new optimization algorithms and their applications. Lastly, the seventh part is dedicated to the design and application of different hybrid intelligent systems.

Design of Intelligent Systems Based on Fuzzy Logic Neural Networks and Nature Inspired Optimization

Design of Intelligent Systems Based on Fuzzy Logic  Neural Networks and Nature Inspired Optimization Book
Author : Patricia Melin,Oscar Castillo,Janusz Kacprzyk
Publisher : Springer
Release : 2015-06-12
ISBN : 3319177478
Language : En, Es, Fr & De

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Book Description :

This book presents recent advances on the design of intelligent systems based on fuzzy logic, neural networks and nature-inspired optimization and their application in areas such as, intelligent control and robotics, pattern recognition, time series prediction and optimization of complex problems. The book is organized in eight main parts, which contain a group of papers around a similar subject. The first part consists of papers with the main theme of theoretical aspects of fuzzy logic, which basically consists of papers that propose new concepts and algorithms based on fuzzy systems. The second part contains papers with the main theme of neural networks theory, which are basically papers dealing with new concepts and algorithms in neural networks. The third part contains papers describing applications of neural networks in diverse areas, such as time series prediction and pattern recognition. The fourth part contains papers describing new nature-inspired optimization algorithms. The fifth part presents diverse applications of nature-inspired optimization algorithms. The sixth part contains papers describing new optimization algorithms. The seventh part contains papers describing applications of fuzzy logic in diverse areas, such as time series prediction and pattern recognition. Finally, the eighth part contains papers that present enhancements to meta-heuristics based on fuzzy logic techniques.

Software Engineering Artificial Intelligence Networking and Parallel Distributed Computing 2015

Software Engineering  Artificial Intelligence  Networking and Parallel Distributed Computing 2015 Book
Author : Roger Lee
Publisher : Springer
Release : 2015-10-15
ISBN : 3319235095
Language : En, Es, Fr & De

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Book Description :

This edited book presents scientific results of the 16th IEEE/ACIS International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing (SNPD 2015) which was held on June 1 – 3, 2015 in Takamatsu, Japan. The aim of this conference was to bring together researchers and scientists, businessmen and entrepreneurs, teachers, engineers, computer users, and students to discuss the numerous fields of computer science and to share their experiences and exchange new ideas and information in a meaningful way. Research results about all aspects (theory, applications and tools) of computer and information science, and to discuss the practical challenges encountered along the way and the solutions adopted to solve them.

Encyclopedia of Artificial Intelligence

Encyclopedia of Artificial Intelligence Book
Author : Anonim
Publisher : IGI Global
Release : 2009-01-01
ISBN : 1599048493
Language : En, Es, Fr & De

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Book Description :

"This book is a comprehensive and in-depth reference to the most recent developments in the field covering theoretical developments, techniques, technologies, among others"--Provided by publisher.

Parallalize Neural Network Training with GPU Computing

Parallalize Neural Network Training with GPU Computing Book
Author : Snehal Sakhare
Publisher : Unknown
Release : 2015
ISBN : 0987650XXX
Language : En, Es, Fr & De

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Book Description :

Neural Networks (NNs) have been broadly used for many applications like Speech Recognition, Image Recognition, and character Recognition. However, the investment of larger training time and curse of dimensionality limits the usability of NN. There are alternative training algorithms for NNs that are parallel in nature. GPU computing is suitable to the problem domains, which are parallel in nature. Thus, this project is aimed to reduce training time of NNs by exploiting the parallelism in the training algorithms using GPU. Particle Swarm Optimization (PSO) is a NN training algorithm that involves minimal dependencies, which is suitable for parallelization. In this project, I have investigated the parallelization of NN training using PSO technique on the GPU utilizing CUDA 7.0 toolkit [1]. The NN we use in the study classifies the Fisher's Iris dataset [2]. This is a 3-class classification problem based on four features (sepal length, sepal width, petal length, petal width) of the flowers as input. I could successfully implemented part of the PSO algorithm on the GPU. Then I compared the GPU implementation of PSO written in CUDA to the CPU implementation written in C++. In the current version of GPU implementation, a very small computation, where we update the all particle's velocity and position, happens on the GPU and most of the execution takes place on the CPU. As a result, even after increasing the number of particles the GPU implementation is not faster than the CPU implementation. However in future this code can be completely parallelized to leverage the full power of the GPU. In addition, we are looking forward to use a different NN structure with larger particles and model a complete parallel version of it.

The 8th International Conference on Computer Engineering and Networks CENet2018

The 8th International Conference on Computer Engineering and Networks  CENet2018  Book
Author : Qi Liu,Mustafa Mısır,Xin Wang,Weiping Liu
Publisher : Springer
Release : 2019-04-15
ISBN : 3030146804
Language : En, Es, Fr & De

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Book Description :

This book examines innovation in the fields of computer engineering and networking, and explores important, state-of-the-art developments in areas such as artificial intelligence, machine learning, information analysis and communication. It gathers papers presented at the 8th International Conference on Computer Engineering and Networks (CENet2018), held in Shanghai, China on August 17–19, 2018. • Explores emerging topics in computer engineering and networking, along with their applications • Discusses how to improve productivity by using the latest advanced technologies • Examines innovation in the fields of computer engineering and networking

High Performance Computing and Applications

High Performance Computing and Applications Book
Author : Wu Zhang,Zhangxin Chen,Craig C. Douglas,Weiqin Tong
Publisher : Springer Science & Business Media
Release : 2010-02-19
ISBN : 3642118410
Language : En, Es, Fr & De

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Book Description :

This book constitutes the thoroughly refereed post-conference proceedings of the Second International Conference on High Performance Computing and Applications, HPCA 2009, held in Shangahi, China, in August 2009. The 71 revised papers presented together with 10 invited presentations were carefully selected from 324 submissions. The papers cover topics such as numerical algorithms and solutions; high performance and grid computing; novel approaches to high performance computing; massive data storage and processsing; and hardware acceleration.

Recent Advances in Computer Science and Information Engineering

Recent Advances in Computer Science and Information Engineering Book
Author : Zhihong Qian,Lei Cao,Weilian Su,Tingkai Wang,Huamin Yang
Publisher : Springer Science & Business Media
Release : 2012-01-25
ISBN : 3642257895
Language : En, Es, Fr & De

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Book Description :

CSIE 2011 is an international scientific Congress for distinguished scholars engaged in scientific, engineering and technological research, dedicated to build a platform for exploring and discussing the future of Computer Science and Information Engineering with existing and potential application scenarios. The congress has been held twice, in Los Angeles, USA for the first and in Changchun, China for the second time, each of which attracted a large number of researchers from all over the world. The congress turns out to develop a spirit of cooperation that leads to new friendship for addressing a wide variety of ongoing problems in this vibrant area of technology and fostering more collaboration over the world. The congress, CSIE 2011, received 2483 full paper and abstract submissions from 27 countries and regions over the world. Through a rigorous peer review process, all submissions were refereed based on their quality of content, level of innovation, significance, originality and legibility. 688 papers have been accepted for the international congress proceedings ultimately.

High Performance Computing

High Performance Computing Book
Author : Carlos Jaime Barrios Hernández,Isidoro Gitler,Jaime Klapp
Publisher : Springer
Release : 2017-04-28
ISBN : 331957972X
Language : En, Es, Fr & De

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Book Description :

This book constitutes the proceedings of the Third Latin American Conference on High Performance Computing, CARLA 2016, held in Mexico City, Mexico, in August/September 2016. The 30 papers presented in this volume were carefully reviewed and selected from 70 submissions. They are organized in topical sections named: HPC Infrastructure and Applications; Parallel Algorithms and Applications; HPC Applications and Simulations.

GPU Computing Gems

GPU Computing Gems Book
Author : Wen-mei W. Hwu
Publisher : Elsevier
Release : 2012
ISBN : 0123859638
Language : En, Es, Fr & De

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Book Description :

"Since the introduction of CUDA in 2007, more than 100 million computers with CUDA capable GPUs have been shipped to end users. GPU computing application developers can now expect their application to have a mass market. With the introduction of OpenCL in 2010, researchers can now expect to develop GPU applications that can run on hardware from multiple vendors"--

Handbook of Parallel Constraint Reasoning

Handbook of Parallel Constraint Reasoning Book
Author : Youssef Hamadi,Lakhdar Sais
Publisher : Springer
Release : 2018-04-05
ISBN : 3319635166
Language : En, Es, Fr & De

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Book Description :

This is the first book presenting a broad overview of parallelism in constraint-based reasoning formalisms. In recent years, an increasing number of contributions have been made on scaling constraint reasoning thanks to parallel architectures. The goal in this book is to overview these achievements in a concise way, assuming the reader is familiar with the classical, sequential background. It presents work demonstrating the use of multiple resources from single machine multi-core and GPU-based computations to very large scale distributed execution platforms up to 80,000 processing units. The contributions in the book cover the most important and recent contributions in parallel propositional satisfiability (SAT), maximum satisfiability (MaxSAT), quantified Boolean formulas (QBF), satisfiability modulo theory (SMT), theorem proving (TP), answer set programming (ASP), mixed integer linear programming (MILP), constraint programming (CP), stochastic local search (SLS), optimal path finding with A*, model checking for linear-time temporal logic (MC/LTL), binary decision diagrams (BDD), and model-based diagnosis (MBD). The book is suitable for researchers, graduate students, advanced undergraduates, and practitioners who wish to learn about the state of the art in parallel constraint reasoning.

High Performance Programming for Soft Computing

High Performance Programming for Soft Computing Book
Author : Oscar Humberto Montiel Ross,Roberto Sepulveda
Publisher : CRC Press
Release : 2014-02-04
ISBN : 1466586028
Language : En, Es, Fr & De

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Book Description :

This book examines the present and future of soft computer techniques. It explains how to use the latest technological tools, such as multicore processors and graphics processing units, to implement highly efficient intelligent system methods using a general purpose computer.