Scalable parallel computing : technology, architecture, programming
Author(s)
Bibliographic Information
Scalable parallel computing : technology, architecture, programming
WCB/McGraw-Hill, c1998
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Note
Includes bibliographical reference (p.737-764) and indexes
"International Editions 2000"--T.p. verso
"McGraw-Hill computer science series"--Cover
Description and Table of Contents
Description
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.
Table of Contents
Part 1*Scalability and Clustering1 Scalable Computer Platforms and Models2 Basics of Parallel Programming3 Performance Metrics and BenchmarksPart II*Enabling Technologies4 Microprocessors as Building Blocks 5 Distributed Memory and Latency Tolerance6 System Interconnects and Gigabit Networks7 Threading Synchronization, and CommunicationPart III*Systems Architecture8 Symmetric and CC-NUMA MultiProcessors9 Support of Clustering and Availability10 Clusters of Servers and Workstations11 MPP Architecture and PerformancePart IV*Parallel Programming12 Parallel Paradigms and Models13 Message-Passing Programming14 Data Parallel Programming
by "Nielsen BookData"
