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Building Parallel, Embedded, and Real-Time Applications with Ada

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The arrival and popularity of multi-core processors have 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 with traditional backgrounds in sequential programming the opportunity to expand their capabilities into these important emerging paradigms. It also addresses the theoretical foundations of real-time scheduling analysis, focusing on theory that is useful for real applications.

Two excellent books by Burns and Wellings (2007; 2009) provide a complete, in depth presentation of Ada’s concurrent and real-time features. They make use of Ada’s powerful object-oriented programming features to create high-level concurrent patterns. These books are “required reading” for software engineers working with Ada on real-time projects. However, we found that their coverage of all of Ada’s concurrent and real-time features and the additional level of abstraction provided by their clever use of the objectoriented paradigm made it difficult for our undergraduate students to grasp the fundamental concepts of parallel, embedded, and real-time programming. We believe that the subset of Ada presented in this book provides the simplest model for understanding the fundamental concepts. With this basic knowledge, our readers can more easily learn the more detailed aspects of the Ada language and the more widely applicable patterns presented by Burns and Wellings. Readers can also apply the lessons learned here with Ada to the creation of systems written in more complex languages such as C, C++, and real-time Java.

The first chapter gives an overview of and motivation for studying parallel, embedded, and real-time programming. The fundamental terminology of parallel, concurrent, distributed, real-time, and embedded systems is presented in the context of two cooks sharing resources to prepare food.

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