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Programming Massively Parallel Processors: A Hands-on Approach |  | Authors: David B. Kirk, Wen-mei W. Hwu
Publisher: Morgan Kaufmann
Category: Book
List Price: $69.95
Buy New: $30.98
as of 9/10/2010 19:10 MDT details
You Save: $38.97 (56%)
New (30) Used (8) from $30.98
Seller: --textbooksrus--
Rating:  11 reviews
Sales Rank: 14812
Media: Paperback
Edition: 1
Pages: 280
Number Of Items: 1
Shipping Weight (lbs): 1.3
Dimensions (in): 9.2 x 7.4 x 0.8
ISBN: 0123814723
Dewey Decimal Number: 004.35
EAN: 9780123814722
ASIN: 0123814723
Publication Date: February 5, 2010
Availability: Usually ships in 1-2 business days
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Product Description
Multi-core processors are no longer the future of computing-they are the present day reality. A typical mass-produced CPU features multiple processor cores, while a GPU (Graphics Processing Unit) may have hundreds or even thousands of cores. With the rise of multi-core architectures has come the need to teach advanced programmers a new and essential skill: how to program massively parallel processors.
Programming Massively Parallel Processors: A Hands-on Approach shows both student and professional alike the basic concepts of parallel programming and GPU architecture. Various techniques for constructing parallel programs are explored in detail. Case studies demonstrate the development process, which begins with computational thinking and ends with effective and efficient parallel programs.
- Teaches computational thinking and problem-solving techniques that facilitate high-performance parallel computing.
- Utilizes CUDA (Compute Unified Device Architecture), NVIDIA's software development tool created specifically for massively parallel environments.
- Shows you how to achieve both high-performance and high-reliability using the CUDA programming model as well as OpenCL.
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| Customer Reviews:
Showing reviews 1-5 of 11
 Introductory book August 22, 2010
haridy
1 out of 1 found this review helpful
i bought this book because i was short on time, i needed to learn CUDA quickly and efficiently, and on that the book delivered perfectly, but now after some experience with CUDA i can see that this book has nothing that u cant get online for free, if u are an experienced programmer and want to get into CUDA and GPU Programming, u dont need this book u just need some time and web tutorials, if u r a novice programmer in general then this book is for you, as it has some chapters on scientific thinking and parallelism in general which are important basis. the openCL chapters helped me a lot though it has some conflicts with the current releases so u ll need to look online a bit as well to get things working.
im giving it 3 stars because of its quality,its well written,it gets to the point and will give u wat u want, i took one star out because it gave nothing special or nothing more than what u can get online, and another star out because it is hugely overpriced.
 An excellent guide to learn CUDA August 8, 2010
B. Perez (Bogota, Colombia)
0 out of 1 found this review helpful
This is all you need to start learning CUDA, includes good exercises and online material.
A must-have book.
 No Kindle edition! August 7, 2010
Chris Rauchle (Sydney, Australia)
2 out of 3 found this review helpful
It makes me sad when I see a good book on computer science like this, that I want to read, and it's not available electronically at a decent price. My heart sinks at the thought of having to order a package several kilos heavy to wend it's way around the globe on all sorts of diesel vehicles until it is delivered to me weeks later. I have thought about ordering this book several times only to give up because it just seems wrong to buy something so old fashioned as a book any more. Why can't I just get it downloaded now? Author gets the royalty into their account, Amazon doesn't have to ship, I make my deadline for the paper I'm giving and we're all happy. Please, David, get this one into Kindle ASAP!
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Great introduction to CUDA May 23, 2010
Husam Abu-Haimed (California, USA)
0 out of 1 found this review helpful
A great introduction to programming GPUs using CUDA. The writing is concise and easy to read and understand. Most programmer should be able to read this book in a couple of days.
a little odd but good enough for first pass March 20, 2010
Sergei Morozov (Stanford, CA United States)
13 out of 13 found this review helpful
This book is a much better introduction to programming GPUs via CUDA than CUDA manual, or some presentation floating on the web. It is a little odd in coverage and language. You can tell it is written by two people with different command of English as well as passion. One co-author seems to be trying very hard to be colorful and looking for idiot-proof analogies but is prone to repetition. The other co-author sounds like a dry marketing droid sometimes. There are some mistakes in the codes in the book, but not too many since they don't dwell too long on code listings. In terms of coverage, I wish they'd cover texture memories, profiling tools, examples beyond simple matrix multiplication, and advice on computational thinking for codes with random access patterns. Chapters 6, 8, 9, and 10 are worth reading several times as they are full of practical tricks to use to trade one performance limiter for another in the quest for higher performance.
Showing reviews 1-5 of 11
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