The Sourcebook of Parallel Computing (The Morgan Kaufmann Series in Computer Architecture and Design) - Hardcover

Hardcover

ISBN 10: 1558608710 ISBN 13: 9781558608719

Publisher: Morgan Kaufmann, 2002

Synopsis

Rare book

About this title

Review:

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

From the Back Cover:

"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

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

Features:

• 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 support

|"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

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

Features:

• 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 support

About this edition

• Publisher: Morgan Kaufmann
• Publication date: 2002
• ISBN 10: 1558608710
• ISBN 13: 9781558608719
• Binding: Hardcover
• Number of pages: 842
• Editor: Dongarra Jack, Foster Ian, Fox Dr. Geoffrey C., Gropp William, Kennedy Ken, Torczon Linda, White Andy