Description |
xiii, 381 pages : illustrations ; 24 cm |
Contents |
Pt. I. Concepts. 1. Parallel Computers and Computation. 2. Designing Parallel Algorithms. 3. A Quantitative Basis for Design. 4. Putting Components Together -- Pt. II. Tools. 5. Compositional C++. 6. Fortran M. 7. High Performance Fortran. 8. Message Passing Interface. 9. Performance Tools -- Pt. III. Resources. 10. Random Numbers. 11. Hypercube Algorithms -- 12. Further Reading -- 13. About the Online Version |
Summary |
At last, a practitioner's guide to parallel programming! Students and professionals who use parallel or distributed computer systems will be able to solve real problems with Designing and Building Parallel Programs. This book provides a comprehensive introduction to parallel algorithm design, performance analysis, and program construction. It describes the tools needed to write parallel programs and provides numerous examples. A unique feature is the companion on-line version, accessible via the World Wide Web using browsers such as Mosaic. This provides a convenient hypertext version of the text with pointers to programming tools, example programs, and other resources on parallel and distributed computing |
Analysis |
Parallel programming |
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Parallel programming |
Bibliography |
Includes bibliographical references and index |
Subject |
Parallel programming (Computer science)
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Parallel programming (Computer science)
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LC no. |
94003661 |
ISBN |
0201575949 |
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