Scalable parallel computing : technology, architecture, programming

By: Hwang, KaiContributor(s): Xu, ZhiweiMaterial type: TextTextPublication details: Boston : WCB/McGraw-Hill, c1998Description: xxiv, 802 p. : illustrationsISBN: 0070317984; 9780070317987Subject(s): Parallel processing (Electronic computers) | Computer architecture | Computer networksDDC classification: 004.358 Online resources: Click here to access online | Click here to access online
Contents:
pt. I. Scalability and Clustering. Ch. 1. Scalable Computer Platforms and Models. Ch. 2. Basics of Parallel Programming. Ch. 3. Performance Metrics and Benchmarks -- pt. II. Enabling Technologies. Ch. 4. Microprocessors as Building Blocks. Ch. 5. Distributed Memory and Latency Tolerance. Ch. 6. System Interconnects and Gigabit Networks. Ch. 7. Threading, Synchronization, and Communication -- pt. III. Systems Architecture. Ch. 8. Symmetric and CC-NUMA Multiprocessors. Ch. 9. Support of Clustering and Availability. Ch. 10. Clusters of Servers and Workstations. Ch. 11. MPP Architecture and Performance -- pt. IV. Parallel Programming. Ch. 12. Parallel Paradigms and Programming Models. Ch. 13. Message-Passing Programming.
Summary: This comprehensive reference from distinguished authors covers the principles, technology, architecture, and programming issues in parallel and distributed computing. From the essential enabling technologies to modern SMP and NUMA multi-processor clusters, it's all here for computer scientists and engineers.
Tags from this library: No tags from this library for this title. Log in to add tags.
Star ratings
    Average rating: 0.0 (0 votes)
Holdings
Item type Current library Collection Call number Status Date due Barcode Item holds
Reference Books Reference Books Main Library
Reference
Reference 004.22 HWA (Browse shelf(Opens below)) Available 009125
Total holds: 0

Included Index.

pt. I. Scalability and Clustering. Ch. 1. Scalable Computer Platforms and Models. Ch. 2. Basics of Parallel Programming. Ch. 3. Performance Metrics and Benchmarks --
pt. II. Enabling Technologies. Ch. 4. Microprocessors as Building Blocks. Ch. 5. Distributed Memory and Latency Tolerance. Ch. 6. System Interconnects and Gigabit Networks. Ch. 7. Threading, Synchronization, and Communication --
pt. III. Systems Architecture. Ch. 8. Symmetric and CC-NUMA Multiprocessors. Ch. 9. Support of Clustering and Availability. Ch. 10. Clusters of Servers and Workstations. Ch. 11. MPP Architecture and Performance --
pt. IV. Parallel Programming. Ch. 12. Parallel Paradigms and Programming Models. Ch. 13. Message-Passing Programming.

This comprehensive reference from distinguished authors covers the principles, technology, architecture, and programming issues in parallel and distributed computing. From the essential enabling technologies to modern SMP and NUMA multi-processor clusters, it's all here for computer scientists and engineers.

There are no comments on this title.

to post a comment.

© University of Vavuniya

---