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“The computer industry is once again at a crossroads. Hardware concurrency, in the form of new manycore processors, together with growing software complexity, will require that the technology industry fundamentally rethink both the architecture of modern computers and the resulting software development paradigms.” –From the Foreword by Craig Mundie, Chief Research and Strategy Officer, Microsoft Corporation Author Joe Duffy has risen to the challenge of explaining how to write software that takes full advantage of hardware concurrency. In Concurrent Programming on Windows, he explains how to design, implement, and maintain large-scale concurrent programs, primarily using C# and C++ for Windows. Duffy aims to give application, system, and library developers the tools and techniques needed to write efficient, safe code for multicore processors. This is important not only for the kinds of problems where parallelism is inherent and easily exploitable–such as compute-intensive image manipulation, financial analysis, and AI algorithms–but also for problems that can be speeded up using parallelism but require more effort–such as math libraries, sort routines, report generation, XML manipulation, and stream processing algorithms. The book has four major sections: The first introduces concurrency at a high level, followed by a section that focuses on the fundamental platform features, inner workings, and API details. Next, there is a section that describes common patterns, best practices, algorithms, and data structures that emerge while writing concurrent software. The final section covers many of the common system-wide architectural and process concerns of concurrent programming. This is the only book you’ll need in order to learn the best practices and common patterns for programming with concurrency on Windows and .NET.
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