Scientific Computing with Multicore and Accelerators - Free DownLoad

Book Description
The hybrid/heterogeneous nature of future microprocessors and large high-performance computing systems will result in a reliance on two major types of components: multicore/manycore central processing units and special purpose hardware/massively parallel accelerators. While these technologies have numerous benefits, they also pose substantial performance challenges for developers, including scalability, software tuning, and programming issues.

Researchers at the Forefront Reveal Results from Their Own State-of-the-Art Work
Edited by some of the top researchers in the field and with contributions from a variety of international experts, Scientific Computing with Multicore and Accelerators focuses on the architectural design and implementation of multicore and manycore processors and accelerators, including graphics processing units (GPUs) and the Sony Toshiba IBM (STI) Cell Broadband Engine (BE) currently used in the Sony PlayStation 3. The book explains how numerical libraries, such as LAPACK, help solve computational science problems; explores the emerging area of hardware-oriented numerics; and presents the design of a fast Fourier transform (FFT) and a parallel list ranking algorithm for the Cell BE. It covers stencil computations, auto-tuning, optimizations of a computational kernel, sequence alignment and homology, and pairwise computations. The book also evaluates the portability of drug design applications to the Cell BE and illustrates how to successfully exploit the computational capabilities of GPUs for scientific applications. It concludes with chapters on dataflow frameworks, the Charm++ programming model, scan algorithms, and a portable intracore communication framework.

Explores the New Computational Landscape of Hybrid Processors
By offering insight into the process of constructing and effectively using the technology, this volume provides a thorough and practical introduction to the area of hybrid computing. It discusses introductory concepts and simple examples of parallel computing, logical and performance debugging for parallel computing, and advanced topics and issues related to the use and building of many applications.

Book Details

• Hardcover: 514 pages
• Publisher: CRC Press (December, 2010)
• Language: English
• ISBN-10: 143982536X
• ISBN-13: 978-1439825365

• File Size: 8.2 MiB
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Intelligent Systems, 2nd Edition - Free DownLoad

Book Description
Technology has now progressed to the point that intelligent systems are replacing humans in the decision making processes as well as aiding in the solution of very complex problems. In many cases intelligent systems are already outperforming human activities. Artificial neural networks are not only capable of learning how to classify patterns, such images or sequence of events, but they can also effectively model complex nonlinear systems. Their ability to classify sequences of events is probably more popular in industrial applications where there is an inherent need to model nonlinear system behavior.

Fuzzy systems have similar applications. Their main advantage is their simplicity and ease of implementation. Various aspects of neural networks and fuzzy systems are covered in this volume from The Industrial Electronics Handbook, Second Edition. System optimization is also examined and several new techniques are discussed, including evolutionary methods and swarm and ant colony optimizations. The last section is devoted to several applications involving methods of computational intelligence.

The four other volumes in the Handbook are available individually: Fundamentals of Industrial Electronics, Industrial Communication Systems, Power Electronics and Motor Drives, and Control and Mechatronics. Additionally, all of the volumes are available as a set.

Book Details

• Hardcover: 610 pages
• Publisher: CRC Press; 2nd Edition (February, 2011)
• Language: English
• ISBN-10: 1439802831
• ISBN-13: 978-1439802830

• File Size: 12.2 MiB
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Bayesian Artificial Intelligence, 2nd Edition - Free DownLoad

Book Description
Updated and expanded, Bayesian Artificial Intelligence, Second Edition provides a practical and accessible introduction to the main concepts, foundation, and applications of Bayesian networks. It focuses on both the causal discovery of networks and Bayesian inference procedures. Adopting a causal interpretation of Bayesian networks, the authors discuss the use of Bayesian networks for causal modeling. They also draw on their own applied research to illustrate various applications of the technology.

New to the Second Edition

• New chapter on Bayesian network classifiers
• New section on object-oriented Bayesian networks
• New section that addresses foundational problems with causal discovery and Markov blanket discovery
• New section that covers methods of evaluating causal discovery programs
• Discussions of many common modeling errors
• New applications and case studies
• More coverage on the uses of causal interventions to understand and reason with causal Bayesian networks

Illustrated with real case studies, the second edition of this bestseller continues to cover the groundwork of Bayesian networks. It presents the elements of Bayesian network technology, automated causal discovery, and learning probabilities from data and shows how to employ these technologies to develop probabilistic expert systems.

Web Resource
The book's website at www.csse.monash.edu.au/bai/book/book.html offers a variety of supplemental materials, including example Bayesian networks and data sets. Instructors can email the authors for sample solutions to many of the problems in the text.

Book Details

• Hardcover: 491 pages
• Publisher: CRC Press; 2nd Edition (December, 2010)
• Language: English
• ISBN-10: 9781439815915
• ISBN-13: 978-1439815915

• File Size: 3.4 MiB
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