. 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.