(4)
(1)
(2)
(1)System developers have used modeling languages for decades to specify, visualize, construct, and document systems. The Unified Modeling Language (UML) is one of those languages. UML makes it possible for team members to collaborate by providing a common language that applies to a multitude of different systems. Essentially, it enables you to communicate solutions in a consistent, tool-supported language. Today, UML has become the standard method for modeling software systems, which means you're probably confronting this rich and expressive language more than ever before. And even though you may not write UML diagrams yourself, you'll still need to interpret diagrams written by others. UML 2.0 in a Nutshell from O'Reilly feels your pain. It's been crafted for professionals like you who must read, create, and understand system artifacts expressed using UML. Furthermore, it's been fully revised to cover version 2.0 of the language. This comprehensive new edition not only provides a quick-reference to all UML 2.0 diagram types, it also explains key concepts in a way that appeals to readers already familiar with UML or object-oriented programming concepts. Topics include: The role and value of UML in projects The object-oriented paradigm and its relation to the UML An integrated approach to UML diagrams Class and Object, Use Case, Sequence, Collaboration, Statechart, Activity, Component, and Deployment Diagrams Extension Mechanisms The Object Constraint Language (OCL) If you're new to UML, a tutorial with realistic examples has even been included to help you quickly familiarize yourself with the system. Recommended for You
If you're looking to take full advantage of multi-core processors with concurrent programming, this practical book provides the knowledge and hands-on experience you need. The Art of Concurrency" is one of the few resources to focus on implementing algorithms in the shared-memory model of multi-core processors rather than just theoretical models or distributed-memory architectures. The book provides detailed explanations and usable samples to help you transform algorithms from serial to parallel code along with advice and analysis for avoiding mistakes that programmers typically make when first attempting these computations. Written by an Intel engineer with over two decades of parallel and concurrent programming experience this book will help you: understand parallelism and concurrency; explore differences between programming for shared-memory and distributed-memory; learn guidelines for designing multithreaded applications including testing and tuning; discover how to make best use of different threading libraries including Windows threads POSIX threads OpenMP and Intel Threading Building Blocks; and explore how to implement concurrent algorithms that involve sorting searching graphs and other practical computations. "The Art of Concurrency" shows you how to keep algorithms scalable to take advantage of new processors with even more cores. For developing parallel code algorithms for concurrent programming this book is a must."
(1)
(1)
(1)
