A major feature of the Ada programming language is the facilities it provides for concurrent programming. Alan Burns and Andy Wellings provide here a thorough and self-contained account of concurrent programming in Ada, and so show users, even beginners, how to harness the full power of the whole language. After giving an overview of the non-concurrent features of Ada, the authors proceed to examine in detail the uses of concurrent programming and the inherent difficulties in providing inter-process communication. The Ada tasking model is then introduced; the way it deals with these and related matters is explained in a number of separate chapters, covering system programming, real-time issues, distribution, object-oriented programming and re-use. This is the first book which deals with concurrent features in the new Ada standard, and it offers practical advice to the programmer needing to use it for embedded systems, while those interested more broadly in the development of programming languages will find many otherwise inaccessible issues probed in depth. It will thus be of value to professional software engineers and advanced students of programming alike; indeed, every Ada programmer will find it essential reading and a primary reference work. For the paperback edition the authors have made revisions throughout the text, updating and correcting where appropriate.

This book provides a hands-on introduction to concurrent programming principles and techniques. Pascal FC (Functionally Concurrent), a teaching version of the Pascal language available from the authors, is used to illustrate the main techniques used in the concurrency models. Once programmers have grasped the concepts, a smooth transition is made to more advanced theoretical material.

The arrival and popularity of multi-core processors has sparked a renewed interest in the development of parallel programs. Similarly, the availability of low-cost microprocessors and sensors has generated a great interest in embedded real-time programs. This book provides students and programmers whose backgrounds are in traditional sequential programming with the opportunity to expand their capabilities into parallel, embedded, real-time and distributed computing. It also addresses the theoretical foundation of real-time scheduling analysis, focusing on theory that is useful for actual applications. Written by award-winning educators at a level suitable for undergraduates and beginning graduate students, this book is the first truly entry-level textbook in the subject. Complete examples allow readers to understand the context in which a new concept is used, and enable them to build and run the examples, make changes, and observe the results.

Principles of Concurrent and Distributed Programming provides an introduction to concurrent programming focusing on general principles and not on specific systems. Software today is inherently concurrent or distributed - from event-based GUI designs to operating and real-time systems to Internet applications. This edition is an introduction to concurrency and examines the growing importance of concurrency constructs embedded in programming languages and of formal methods such as model checking.

Concurrent C is a superset of C that provides parallel programming facilities such as those for the declaring and creating processes, for process synchronization and interaction, and for process termination and abortion. Concurrent C was designed for the effective utilization of multiprocessors and multicomputers. Concurrent C, as a compile-time option, also works with C++, an object-oriented superset of C.

A survey of real-time systems and the programming languages used in their development. Shows how modern real-time programming techniques are used in a wide variety of applications, including robotics, factory automation, and control. A critical requirement for such systems is that the software must

Mathematics of Computing -- Parallelism.