Fr. 130.00

Fundamentals of Multicore Software Development

English · Paperback / Softback

Shipping usually within 3 to 5 weeks

Description

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With multicore processors now in every computer, server, and embedded device, the need for cost-effective, reliable parallel software has never been greater. By explaining key aspects of multicore programming, this book helps software engineers understand parallel programming and master the multicore challenge. Accessible to newcomers to the field, it covers the fundamentals of multicore hardware, parallel design patterns, and parallel programming in C++, .NET, and Java. It also discusses manycore computing on graphics cards and heterogeneous multicore platforms, automatic parallelization, automatic performance tuning, transactional memory, and emerging applications.

List of contents










Basics of Parallel Programming. Programming Languages for Multicore. Programming Heterogeneous Processors. Emerging Technologies.


About the author










Victor Pankratius heads the Multicore Software Engineering group at the Karlsruhe Institute of Technology. He is also the elected chairman of the Software Engineering for Parallel Systems (SEPARS) international working group. With a focus on making parallel programming easier, his research encompasses auto-tuning, language design, debugging, and empirical studies.
Ali-Reza Adl-Tabatabai is a senior principal engineer at Intel Corporation, where he leads a team working on compilers and scalable runtimes. His research concentrates on language features that make it easier to build reliable and scalable parallel programs for future multicore architectures.
Walter Tichy is a professor of computer science and head of the Programming Systems group at the Karlsruhe Institute of Technology. He is also a member of the board of directors of software engineering at Forschungszentrum Informatik (FZI), an independent research institution. His research covers tools and methods to simplify the engineering of general-purpose parallel software, including race detection, auto-tuning, and high-level languages for expressing parallelism.


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