Parallel and Distributed Computing and Programming

Parallel and distributed computing has been one of the most active areas of research in recent years. The techniques involved have found significant applications in areas as diverse as engineering, management, natural sciences, and social sciences. This book reports state-of-the-art topics and advances in this emerging field. Completely up-to-date, aspects it examines include the following: 1) Social networks; 2) Smart grids; 3) Graphic processing unit computation; 4) Distributed software development tools; 5) Analytic hierarchy process and the analytic network process.

This book covers the principles, advanced concepts, and technologies of distributed systems in detail, including: communication, replication, fault tolerance, and security.

From mobile phones to the Internet, our lives depend increasingly on distributed systems linking computers and other devices together in a seamless and transparent way.

Invasive computing is a parallel computing paradigm where programs dynamically claim, use, and release hardware resources like processor cores and memory. This book provides an overview of and essential insights on invasive computing.

Master the growing field of parallel and distributed computing with this essential guide, offering expert insights into the fundamentals and real-world applications for intelligent and collaborative systems.

This book covers the breadth of Haskell's diverse selection of programming APIs for concurrent and parallel programming.

This book covers the principles, advanced concepts, and technologies of distributed systems in detail, including: communication, replication, fault tolerance, and security.

The popularity of the Internet has led to rapidly expanding interest in client-server programming by all kinds of businesses and organizations. Many client and server applications benefit from their design as object-oriented programs with multiple threads of control. An object-oriented language with built-in threads, Java is ideal for concurrent programming and developing multi-threaded applications.