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Synopsis
This comprehensive new text from author Kai Hwang covers four important aspects of parallel and distributed computing -- principles, technology, architecture, and programming -- and can be used for several upper-level courses.
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From the Publisher
Students are exposed to "state-of-the-art" technologies in Chapters Five, Six, and Seven.
In the easy-to-read introduction, students learn about scalability and clustering of multiple computers and multiprocessor systems before studying advanced details.
Both computer science and engineering students will benefit from the coverage of enabling technology including; microprocessors, memory architectures, systems interconnects, and software support for parallelism.
Includes coverage of modern SMP and NUMA multi-processor clusters of computers and scalable supercomputers that is not found in any other text.
Concise and precise coverage of parallel and distributed programming models and their applications are presented on real computer platforms.
Extensive worked examples, case studies, and homework problems are located in the appendix and on the website.
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