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Although the computing demands of real-time signal processing and control applications are increasing rapidly, parallel processors permit several instructions to be dealt with simultaneously so that the "real-time" needed is manageable. This book introduces the advantages of this strategy and details how to use parallel processing to deal with common signal processing and control algorithms. It emphasises the relationship between the computing requirements of algorithms and the appropriate choice of architectures, while demonstrating how to identify processor capabilities and how to exploit them to the fullest. The text includes examples and end-of-chapter exercises to facilitate self- and group study and case studies to put theoretical concepts into a practical context. For advanced students in parallel computing, control and signal processing disciplines, it is an invaluable tool in learning to get the most from their computer systems.
List of contents
1. Introduction.- 2. Parallel Architectures.- 3. Performance Evaluation Issues in Real-time Computing.- 4. Performance Metrics.- 5. Parallel Programming and Multithreading.- 6. Algorithm Analysis and Design.- 7. Microprocessors: The Processing Elements of Parallel Architectures.- 8. Real-time Performances: Algorithms vs Architectures.- Appendix A. List of Abbreviations.- Appendix B. Hardware and Software Resources.- B. 1 Hardware Resources.- B. 1.1 Processing Elements.- B. 1.2 Parallel Architectures.- B.2 Software Support.- B.3 Other Supporting Resources.- B.3.1 TMB Motherboard.- B.3.2 The TTM110 Board.- B.3.3 Transtech Matchbox.- B.3.4 The TDMB410 Motherboard.- References.
Summary
Although the computing demands of real-time signal processing and control applications are increasing rapidly, parallel processors permit several instructions to be dealt with simultaneously so that the "real-time" needed is manageable. This book introduces the advantages of this strategy and details how to use parallel processing to deal with common signal processing and control algorithms. It emphasises the relationship between the computing requirements of algorithms and the appropriate choice of architectures, while demonstrating how to identify processor capabilities and how to exploit them to the fullest. The text includes examples and end-of-chapter exercises to facilitate self- and group study and case studies to put theoretical concepts into a practical context. For advanced students in parallel computing, control and signal processing disciplines, it is an invaluable tool in learning to get the most from their computer systems.
Additional text
From the reviews:
"Written as a textbook, the book is much more than that-it is a comprehensive resource for those interested in parallel computing...Readers should not be misled by the relatively small size of the book-it is complete and well organized...Summing Up: Recommended."
(J. Beidler, Choice, September 2003)
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From the reviews:
"Written as a textbook, the book is much more than that-it is a comprehensive resource for those interested in parallel computing...Readers should not be misled by the relatively small size of the book-it is complete and well organized...Summing Up: Recommended."
(J. Beidler, Choice, September 2003)
