Principles of Parallel Programming
Snyder, Larry; Lin, Calvin
€ 239.85
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Description for Principles of Parallel Programming
hardcover. Num Pages: 352 pages, Illustrations. BIC Classification: UYFP. Category: (U) Tertiary Education (US: College). Dimension: 237 x 195 x 18. Weight in Grams: 798.
With the rise of multi-core architecture, parallel programming is an increasingly important topic for software engineers and computer system designers. Written by well-known researchers Larry Snyder and Calvin Lin, this highly anticipated first edition emphasizes the principles underlying parallel computation, explains the various phenomena, and clarifies why these phenomena represent opportunities or barriers to successful parallel programming. Ideal for an advanced upper-level undergraduate course, Principles of Parallel Programming supplies enduring knowledge that will outlive the current hardware and software, aiming to inspire future researchers to build tomorrow’s solutions.
Product Details
Format
Hardback
Publication date
2008
Publisher
Pearson United States
Number of pages
352
Condition
New
Number of Pages
360
Place of Publication
, United States
ISBN
9780321487902
SKU
V9780321487902
Shipping Time
Usually ships in 15 to 20 working days
Ref
99-50
About Snyder, Larry; Lin, Calvin
Lawrence Snyder is Professor of Computer Science and Engineering at the University of Washington in Seattle. He received his PhD from Carnegie Mellon University and has devoted most of his career to parallel computation research, including architecture, algorithms and languages. With Calvin Lin and UW graduate students, he developed the ZPL parallel programming language. He is a fellow of the ... Read more
Reviews for Principles of Parallel Programming
"...the first basic book on the subject that I've ever seen that seems to have the pulse on the true issues of parallelism that are relevant for students." - Alan Edelman, MIT "Principles of Parallel Programming is a wonderful book and I plan to use it in our new parallel programming course..." - Peiyi Tang, University of Arkansas, Little Rock ... Read more