High Performance Cluster Computing: Programming and Application Issues v. 2 [Textbook Binding]

Rajkumar Buyya (Author)

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Product details

Textbook Binding: 664 pages
Publisher: Prentice Hall; 1 edition (24 Jun 1999)
Language English
ISBN-10: 0130137855
ISBN-13: 978-0130137852
Product Dimensions: 23.6 x 17.5 x 3.3 cm
Amazon Bestsellers Rank: 1,655,446 in Books (See Top 100 in Books)

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From the Back Cover

1378E-5

A comprehensive guide to today's most advanced R&D in highly parallel programming and applications.

Volume 1 of this two-volume set collected today's best work on the systems aspects of high performance cluster computing. Now, in High Performance Cluster Computing: Programming and Application Issues, Volume 2, Rajkumar Buyya brings together the world's leading work on programming and applications for today's state-of-the-art "commodity supercomputers."

The book is organized into three areas: programming environments and development tools; Java(tm) as a language of choice for development in highly parallel systems; and state-of-the-art high performance algorithms and applications. All three areas have seen major advances in recent years-and in all three areas, this book offers unprecented breadth and depth. Coverage includes:

New parallel programming techniques and tools, including MP and PVM, active objects, scoped behavior, and LiPS.
State-of-the-art debuggng techniques: Code liberation, global renaming, name reclamation, and debugging interfaces.
The WebOS: Designing operating system services for wide-area applications.
Leveraging Java(tm) to the fullest: Distributed objects, the HPspmd model, and more.
Clustered Web servers and other high performance Web applications.
Real-time resource management, climate ocean modeling, parallel reflexive reasoning, content-based image retrieval, biomedical applications, and more.

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Amazon.com: 1 review

5 of 7 people found the following review helpful

Parallel is the way to go 26 April 2000

By Shantanu Bhattacharyya - Published on Amazon.com

Format:Textbook Binding

A pleasant read but I think the Wilkenson and Allen book called Parallel Computing is better written. All in all it wasn't bad and I'd recommend it to anyone looking for a secondary source.

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