Parallel Computing for Real-time Signal Processing and Control

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.

This book will sell because control an signal-processing students need to understand the best ways of making their computers work for them if they are to get the best results from the experimental methods they choose to adopt using any given investigation.

Klappentext

The computing performance demands of modern real-time signal processing and control applications are increasing rapidly. The use of multiple processors operating in parallel allows several instructions to be dealt with simultaneously, so the requirement for "real-time" is now much easier to meet. Parallel Computing for Real-time Signal Processing and Control introduces students to the advantages of this important capability within an engineering framework. The ability of parallel processing to deal with common signal processing and control algorithms is explored. The book:

. Emphasises the relationship between the computing requirements of algorithms and the appropriate choice of architectures in successful computing strategies.

. Demonstrates the identification of processor capabilities and how to exploit them to the fullest for different tasks.

. Clearly states objectives in each chapter to allow the student to monitor his/her progress.

. Uses examples and end-of-chapter exercises to facilitate self-study and guided tuition.

. Offers case studies that put theoretical concepts into a practical context.

Written in a tutorial style with a logical exploratory approach, Parallel Computing for Real-time Signal Processing and Control is an ideal introduction to this powerful paradigm. For advanced students in parallel computing, control and signal processing disciplines, it will be an invaluable tool in learning to get the best from their computer systems.

Inhalt

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.