Scalable Shared-Memory Multiprocessing

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by Daniel E. Lenoski, Wolf-Dietrich Weber (Contributor)

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Book Description
A thorough presentation of the architecture, hardware design and performance of scalable shared-memory multiprocessors. This emerging class of computers combines the computational power found in large-scale multicomputers with the ease of programming found in traditional small-scale shared-memory processors.

The authors draw from their experience with the DASH prototype to design a detailed case study of the first operational machine to include a scalable cache-coherence mechanism. This book will appeal to practitioners involved with the design of commercial systems who are looking to move beyond today's bus-based architectures, and to researchers studying parallel architecture.

Synopsis
Beginning with a discussion of the fundamentals of scalable multiprocessors and the characteristics of large-scale parallel programs, the book then presents an in-depth presentation of the hardware design issues for this class of machine, and a survey of existing and proposed scalable shared-memory systems.

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