Laurence T. Yang's Books

Mobile Intelligence

By: Laurence T. Yang

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* Focuses on learning patterns and knowledge from data generated by mobile users and mobile technology. * Covers research and application issues in applying computational intelligence applications to mobile computing * Delivers benefits to a wide range of applications * Introduces the state of the art of computational intelligence to the mobile paradigm

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Page Count

719

Publisher

John Wiley & Sons

Published Date

ISBN 10

047019555X

ISBN 13

9780470195550

High-Performance Computing

Paradigm and Infrastructure

By: Laurence T. Yang,Minyi Guo

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High-Performance Computing

Paradigm and Infrastructure

By: Laurence T. Yang,Minyi Guo

The state of the art of high-performance computing Prominent researchers from around the world have gathered to present the state-of-the-art techniques and innovations in high-performance computing (HPC), including: * Programming models for parallel computing: graph-oriented programming (GOP), OpenMP, the stages and transformation (SAT) approach, the bulk-synchronous parallel (BSP) model, Message Passing Interface (MPI), and Cilk * Architectural and system support, featuring the code tiling compiler technique, the MigThread application-level migration and checkpointing package, the new prefetching scheme of atomicity, a new "receiver makes right" data conversion method, and lessons learned from applying reconfigurable computing to HPC * Scheduling and resource management issues with heterogeneous systems, bus saturation effects on SMPs, genetic algorithms for distributed computing, and novel task-scheduling algorithms * Clusters and grid computing: design requirements, grid middleware, distributed virtual machines, data grid services and performance-boosting techniques, security issues, and open issues * Peer-to-peer computing (P2P) including the proposed search mechanism of hybrid periodical flooding (HPF) and routing protocols for improved routing performance * Wireless and mobile computing, featuring discussions of implementing the Gateway Location Register (GLR) concept in 3G cellular networks, maximizing network longevity, and comparisons of QoS-aware scatternet scheduling algorithms * High-performance applications including partitioners, running Bag-of-Tasks applications on grids, using low-cost clusters to meet high-demand applications, and advanced convergent architectures and protocols High-Performance Computing: Paradigm and Infrastructure is an invaluable compendium for engineers, IT professionals, and researchers and students of computer science and applied mathematics.

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Page Count

818

Publisher

John Wiley & Sons

Published Date

ISBN 10

0471732702

ISBN 13

9780471732709

Advances in Grid and Pervasive Computing

Third International Conference, GPC 2008, Kunming, China, May 25-28, 2008. Proceedings

By: Laurence Tianruo Yang

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Advances in Grid and Pervasive Computing

Third International Conference, GPC 2008, Kunming, China, May 25-28, 2008. Proceedings

By: Laurence Tianruo Yang

This book constitutes the refereed proceedings of the Third International Conference on Grid and Pervasive Computing, GPC 2008, held in Kunming, China, in May 2008. The 45 revised full papers presented together with 2 keynote lectures were carefully reviewed and selected from 184 submissions. The papers cover all current issues of grid and pervasive computing and focus on topics such as cluster computing, grid computing, high performance computing, network storage, peer-to-peer computing, pervasive computing, the Semantic Web and the Semantic Grid, and service-oriented computing.

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Page Count

531

Publisher

Springer Science & Business Media

Published Date

ISBN 10

3540680810

ISBN 13

9783540680819

Parallel and Distributed Scientific and Engineering Computing

Practice and Experience

By: Yi Pan,Laurence Tianruo Yang

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Parallel and Distributed Scientific and Engineering Computing

Practice and Experience

By: Yi Pan,Laurence Tianruo Yang

In the not too distant future, every researcher and professional in science and engineering fields will have to understand parallel and distributed computing. With hyperthreading in Intel processors, hypertransport links in AMD processors, multi-core silicon in today's high-end microprocessors from IBM and emerging cluster and grid computing, parallel and distributed computers have moved into the mainstream of computing. To fully exploit these advances in computer architectures, researchers and professionals must start to design parallel or distributed software, systems and algorithms for their scientific and engineering applications. Parallel and distributed scientific and engineering computing has become a key technology which will play an important part in determining, or at least shaping, future research and development activities in many academic and industrial branches. This book reports on the recent important advances in the area of parallel and distributed computing for science and engineering applications. Included in the book are selected papers from prestigious workshops such as PACT-SHPSEC, IPDPS-PDSECA and ICPP-HPSECA together with some invited papers from prominent researchers around the world. The book is basically divided into five main sections. These chapters not only provide novel ideas, new experimental results and handful experience in this field, but also stimulate the future research activities in the area of parallel and distributed computing for science and engineering applications.

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Page Count

240

Publisher

Nova Publishers

Published Date

ISBN 10

1590339568

ISBN 13

9781590339565

Mobile Intelligence

By: Laurence T. Yang

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Mobile Intelligence

By: Laurence T. Yang

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Page Count

900

Publisher

John Wiley & Sons

Published Date

ISBN 10

0470579382

ISBN 13

9780470579381

Book's by Laurence T. Yang

Mobile Intelligence

Mobile Intelligence

High-Performance Computing

High-Performance Computing

Advances in Grid and Pervasive Computing

Advances in Grid and Pervasive Computing

Parallel and Distributed Scientific and Engineering Computing

Parallel and Distributed Scientific and Engineering Computing

Mobile Intelligence

Mobile Intelligence

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