9781558608719

Book Description: Morgan Kaufmann Pub, 2002. Hardback. Book Condition: New. New book. Shipped from US. Bookseller Inventory # IB-9781558608719

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Book Description: Book Condition: New. This item is printed on demand. Bookseller Inventory # 800785-n

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Book Description: Morgan Kaufmann Pub, 2002. Hardback. Book Condition: New. New book. Shipped from US. Bookseller Inventory # IB-9781558608719

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Book Description: ELSEVIER SCIENCE TECHNOLOGY, United States, 2002. Hardback. Book Condition: New. 235 x 187 mm. Brand New Book with Free Worldwide Delivery. Parallel Computing is a compelling vision of how computation can seamlessly scale from a single processor to virtually limitless computing power. Unfortunately, the scaling of application performance has not matched peak speed, and the programming burden for these machines remains heavy. The applications must be programmed to exploit parallelism in the most efficient way possible. Today, the responsibility for achieving the vision of scalable parallelism remains in the hands of the application developer. This book represents the collected knowledge and experience of over 60 leading parallel computing researchers. They offer students, scientists and engineers a complete sourcebook with solid coverage of parallel computing hardware, programming considerations, algorithms, software and enabling technologies, as well as several parallel application case studies. "The Sourcebook of Parallel Computing" offers extensive tutorials and detailed documentation of the advanced strategies produced by research over the last two decades application case studies."The Sourcebook of Parallel Computing" offers extensive tutorials and detailed documentation of the advanced strategies produced by research over the last two decades. It provides a solid background in parallel computing technologies. It examines the technologies available and teaches students and practitioners how to select and apply them. It presents case studies in a range of application areas including Chemistry, Image Processing, Data Mining, Ocean Modeling and Earthquake Simulation. It considers the future development of parallel computing technologies and the kinds of applications they will support. Bookseller Inventory # AAC9781558608719

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Book Description: Elsevier Science & Technology. Hardback. Book Condition: new. BRAND NEW, The Sourcebook of Parallel Computing, Jack Dongarra, Ian Foster, Geoffrey C. Fox, William Gropp, Ken Kennedy, Parallel Computing is a compelling vision of how computation can seamlessly scale from a single processor to virtually limitless computing power. Unfortunately, the scaling of application performance has not matched peak speed, and the programming burden for these machines remains heavy. The applications must be programmed to exploit parallelism in the most efficient way possible. Today, the responsibility for achieving the vision of scalable parallelism remains in the hands of the application developer. This book represents the collected knowledge and experience of over 60 leading parallel computing researchers. They offer students, scientists and engineers a complete sourcebook with solid coverage of parallel computing hardware, programming considerations, algorithms, software and enabling technologies, as well as several parallel application case studies. "The Sourcebook of Parallel Computing" offers extensive tutorials and detailed documentation of the advanced strategies produced by research over the last two decades application case studies. "The Sourcebook of Parallel Computing" offers extensive tutorials and detailed documentation of the advanced strategies produced by research over the last two decades. It provides a solid background in parallel computing technologies. It examines the technologies available and teaches students and practitioners how to select and apply them. It presents case studies in a range of application areas including Chemistry, Image Processing, Data Mining, Ocean Modeling and Earthquake Simulation. It considers the future development of parallel computing technologies and the kinds of applications they will support. Bookseller Inventory # B9781558608719

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Book Description: Elsevier Publishers. Book Condition: New. New, This item can not be shipped Internationl. Bookseller Inventory # 1558608710

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Book Description: Elsevier Science, 2002. Hardback. Book Condition: New. 9.25 by 7.36 inches. (842 pages) This item is printed on demand. Please allow up to 10 days extra for printing & delivery. Parallel Computing is a compelling vision of how computation can seamlessly scale from a single processor to virtually limitless computing power. Unfortunately, the scaling of application performance has not matched peak speed, and the programming burden for these machines remains heavy. The applications must be programmed to exploit parallelism in the most efficient way possible. Today, the responsibility for achieving the vision of scalable parallelism remains in the hands of the application developer. This book represents the collected knowledge and experience of over 60 leading parallel computing researchers. They offer students, scientists and engineers a complete sourcebook with solid coverage of parallel computing hardware, programming considerations, algorithms, software and enabling technologies, as well as several parallel application case studies. The Sourcebook of Parallel Computing offers extensive tutorials and detailed documentation of the advanced strategies produced by research over the last two decades application case studies. The Sourcebook of Parallel Computing offers extensive tutorials and detailed documentation of the advanced strategies produced by research over the last two decade * Provides a solid background in parallel computing technologies * Examines the technologies available and teaches students and practitioners how to select and apply them * Presents case studies in a range of application areas including Chemistry, Image Processing, Data Mining, Ocean Modeling and Earthquake Simulation * Considers the future development of parallel computing technologies and the kinds of applications they will supportI. Parallelism 1. Introduction 2. Parallel Computer Architectures 3. Parallel Programming Considerations II. Applications 4. General Application Issues 5. Parallel Computing in CFD 6. Parallel Computing in Environment and Energy 7. Parallel Computational Chemistry 8. Application Overviews III. Software technologies 9. Software Technologies 10. Message Passing and Threads 11. Parallel I/O 12. Languages and Compilers 13. Parallel Object-Oriented Libraries 14. Problem-Solving Environments 15. Tools for Performance Tuning and Debugging 16. The 2-D Poisson Problem IV. Enabling Technologies and Algorithms 17. Reusable Software and Algorithms 18. Graph Partitioning for Scientific Simulations 19. Mesh Generation 20. Templates and Numerical Linear Algebra 21. Software for the Scalable Solutions of PDEs 22. Parallel Continuous Optimization 23. Path Following in Scientific Computing 24. Automatic Differentiation V. Conclusion 25. Wrap-up and Features Sourcebook of Parallel Computing is an indispensable reference for parallel-computing consultants, scientists, and researchers, and a valuable addition to any computer science library. - Distributed Systems Online The Sourcebook for Parallel Computing gives a thorough introduction to parallel applications, software technologies, enabling technologies, and algorithms. This is a great book that I highly recommend to anyone interested in a comprehensive and thoughtful treatment of the most important issues in parallel computing. -Horst Simon, Director, Director, NERSC, Berkeley The Sourcebook builds on the important work done at the Center for Research on Parallel Computation and within the academic community for over a decade. It is a definitive text on Parallel Computing and should be a key reference for students, researchers and practitioners in the field. -Francine Berman, Director, San Diego Supercomputer Center and the National Partnership for Advanced Computational Infrastructure BiographicalNote: Andy White is the Special Projects Director for the Weapons Physics Directorate at Los Alamos National Laboratory. This newLab oratory enterprise focuses on research issues in computer and computational sciences associated with employing the largest, most complex. Bookseller Inventory # AD1558608710

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Book Description: Elsevier Science and Technology Country = UNITED STATES, 2002. Hardback. Book Condition: New. 842 pages. Parallel Computing is a compelling vision of how computation can seamlessly scale from a single processor to virtually limitless computing power. This book provides coverage of parallel computing hardware, programming considerations, algorithms, software and enabling technologies, as well as several parallel application case studies. Authors Editor: Dongarra, Jack Foster, Ian Fox, Geoffrey C. Gropp, William Kennedy, Ken Torczon, Linda White, Andy (Hardback). Bookseller Inventory # AB1558608710

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Book Description: Morgan Kaufmann Pub, 2002. Hardcover. Book Condition: Brand New. 1st edition. 842 pages. 9.50x7.75x1.75 inches. In Stock. Bookseller Inventory # __1558608710

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Book Description: Elsevier. Book Condition: New. pp. 842. Bookseller Inventory # 7346096

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