Parallel Programming: for Multicore and Cluster Systems and over one million other books are available for Amazon Kindle. Learn more


or
Sign in to turn on 1-Click ordering.
or
Amazon Prime Free Trial required. Sign up when you check out. Learn More
Kindle Edition
 
   
Sell Back Your Copy
For a $18.76 Gift Card
Trade in
More Buying Choices
Have one to sell? Sell yours here
Parallel Programming: for Multicore and Cluster Systems
 
 
Start reading Parallel Programming: for Multicore and Cluster Systems on your Kindle in under a minute.

Don't have a Kindle? Get your Kindle here, or download a FREE Kindle Reading App.

Parallel Programming: for Multicore and Cluster Systems [Hardcover]

Thomas Rauber (Author), Gudula Rünger (Author)
5.0 out of 5 stars  See all reviews (1 customer review)

List Price: $69.95
Price: $50.42 & this item ships for FREE with Super Saver Shipping. Details
You Save: $19.53 (28%)
  Special Offers Available
o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o
In Stock.
Ships from and sold by Amazon.com. Gift-wrap available.
Only 14 left in stock--order soon (more on the way).
Want it delivered Wednesday, February 1? Choose One-Day Shipping at checkout. Details
Textbook Student FREE Two-Day Shipping for Students. Learn more

Formats

Amazon Price New from Used from
Kindle Edition $45.38  
Hardcover $50.42  
Sell Back Your Copy for $18.76
Whether you buy it used on Amazon for $39.97 or somewhere else, you can sell it back through our Book Trade-In Program at the current price of $18.76.
Used Price$39.97
Trade-in Price$18.76
Price after
Trade-in
$21.21

Book Description

364204817X 978-3642048173 March 10, 2010 1st Edition.
Innovations in hardware architecture, like hyper-threading or multicore processors, mean that parallel computing resources are available for inexpensive desktop computers. In only a few years, many standard software products will be based on concepts of parallel programming implemented on such hardware, and the range of applications will be much broader than that of scientific computing, up to now the main application area for parallel computing. Rauber and Rünger take up these recent developments in processor architecture by giving detailed descriptions of parallel programming techniques that are necessary for developing efficient programs for multicore processors as well as for parallel cluster systems and supercomputers. Their book is structured in three main parts, covering all areas of parallel computing: the architecture of parallel systems, parallel programming models and environments, and the implementation of efficient application algorithms. The emphasis lies on parallel programming techniques needed for different architectures. The main goal of the book is to present parallel programming techniques that can be used in many situations for many application areas and which enable the reader to develop correct and efficient parallel programs. Many examples and exercises are provided to show how to apply the techniques. The book can be used as both a textbook for students and a reference book for professionals. The presented material has been used for courses in parallel programming at different universities for many years.

Special Offers and Product Promotions

  • Buy $50 in qualifying physical textbooks, get $5 in Amazon MP3 Credit. Here's how (restrictions apply)

Frequently Bought Together

Parallel Programming: for Multicore and Cluster Systems + An Introduction to Parallel Programming + Programming Massively Parallel Processors: A Hands-on Approach (Applications of GPU Computing Series)
Price For All Three: $171.83

Show availability and shipping details

Buy the selected items together
  • In Stock.
    Ships from and sold by Amazon.com.
    This item ships for FREE with Super Saver Shipping. Details

  • An Introduction to Parallel Programming $63.10

    In Stock.
    Ships from and sold by Amazon.com.
    This item ships for FREE with Super Saver Shipping. Details

  • Programming Massively Parallel Processors: A Hands-on Approach (Applications of GPU Computing Series) $58.31

    In Stock.
    Ships from and sold by Amazon.com.
    This item ships for FREE with Super Saver Shipping. Details



Editorial Reviews

Review

"[...] The end-ofchapter exercises are stimulating, there are adequate references for further study, and the index, though short, is quite helpful. [...] This book introduces the basics of parallel programming on multicore and cluster systems. Adequate sample programs illustrate the key concepts of parallel programming. [...]" ACM Computing Reviews, S. V. Nagaraj, February 2011

From the Back Cover

Innovations in hardware architecture, like hyper-threading or multicore processors, mean that parallel computing resources are available for inexpensive desktop computers. In only a few years, many standard software products will be based on concepts of parallel programming implemented on such hardware, and the range of applications will be much broader than that of scientific computing, up to now the main application area for parallel computing. Rauber and Rünger take up these recent developments in processor architecture by giving detailed descriptions of parallel programming techniques that are necessary for developing efficient programs for multicore processors as well as for parallel cluster systems and supercomputers. Their book is structured in three main parts, covering all areas of parallel computing: the architecture of parallel systems, parallel programming models and environments, and the implementation of efficient application algorithms. The emphasis lies on parallel programming techniques needed for different architectures. The main goal of the book is to present parallel programming techniques that can be used in many situations for many application areas and which enable the reader to develop correct and efficient parallel programs. Many examples and exercises are provided to show how to apply the techniques. The book can be used as both a textbook for students and a reference book for professionals. The presented material has been used for courses in parallel programming at different universities for many years.

Product Details

  • Hardcover: 460 pages
  • Publisher: Springer; 1st Edition. edition (March 10, 2010)
  • Language: English
  • ISBN-10: 364204817X
  • ISBN-13: 978-3642048173
  • Product Dimensions: 9.3 x 6.4 x 1.3 inches
  • Shipping Weight: 1.8 pounds (View shipping rates and policies)
  • Average Customer Review: 5.0 out of 5 stars  See all reviews (1 customer review)
  • Amazon Best Sellers Rank: #637,017 in Books (See Top 100 in Books)

More About the Author

Discover books, learn about writers, read author blogs, and more.

 

Customer Reviews

1 Review
5 star:
 (1)
4 star:    (0)
3 star:    (0)
2 star:    (0)
1 star:    (0)
 
 
 
 
 
Average Customer Review
5.0 out of 5 stars (1 customer review)
 
 
 
 
Share your thoughts with other customers:
Most Helpful Customer Reviews

1 of 1 people found the following review helpful:
5.0 out of 5 stars A CLASSIC & INSIGHTFUL SURVEY OF PARALLEL PROGRAMMING, September 24, 2011
Amazon Verified Purchase(What's this?)
This review is from: Parallel Programming: for Multicore and Cluster Systems (Hardcover)
This book is great academic quality survey of modern parallel programming. It starts with a brief and yet thorough overview of architecture and recent innovations of the multicore processors. To name a few, the book picks a glance at Intel, AMD, Sun T-series, and IBM Power processors. Followed by that, a short introduction into performance analysis as well as parallel design patterns are presented. Numerous references (often academic journals) are also provided throughout the book.

The book then quickly reviews MPI-1 and MPI-2, which are the most popular Distributed Memory models. I'd taken courses in parallel programming back in the graduate school and used both MPI and OpenMP; however this brief chapter on message passing was simply incredible. Shared memory using POSIX threads and a hint at how to implement different parallel patterns (such as consumer-producer, pipelining, thread pools, and task pools) are followed. The book goes further and addresses Java threads and OpenMP. The final chapter is algorithms for linear systems and works out a few examples like Gaussian elimination...

I found it an invaluable up to date book. Yet it's a survey of parallel programming, aiming at the more experienced programmers, either coming from industry or scientific computing world.
Help other customers find the most helpful reviews 
Was this review helpful to you? Yes No

Share your thoughts with other customers: Create your own review
 
 
 
Only search this product's reviews



Inside This Book (learn more)
Browse Sample Pages:
Front Cover | Table of Contents | First Pages | Index | Surprise Me!
Search Inside This Book:

What Other Items Do Customers Buy After Viewing This Item?


Suggested Tags from Similar Products

 (What's this?)
Be the first one to add a relevant tag (keyword that's strongly related to this product).
 
(3)

Your tags: Add your first tag
 

Customer Discussions

This product's forum
Discussion Replies Latest Post
No discussions yet

Ask questions, Share opinions, Gain insight
Start a new discussion
Topic:
First post:
Prompts for sign-in
 


Active discussions in related forums
Search Customer Discussions
Search all Amazon discussions
   
Related forums


Listmania!

Create a Listmania! list



Look for Similar Items by Category


Look for Similar Items by Subject