Logo

How to Write Parallel Programs: A First Course

Large book cover: How to Write Parallel Programs: A First Course

How to Write Parallel Programs: A First Course
by

Publisher: MIT Press
ISBN/ASIN: 026203171X
ISBN-13: 9780262031714
Number of pages: 246

Description:
In the not-too-distant future every programmer, software engineer, and computer scientist will need to understand parallelism, a powerful and proven way to run programs fast. The authors of this straightforward tutorial explain why this is so and provide the instruction that will transform ordinary programmers into parallel programmers.

Download or read it online for free here:
Download link
(1.1MB, PDF)

Similar books

Book cover: PVM: Parallel Virtual MachinePVM: Parallel Virtual Machine
by - The MIT Press
Written by the team that developed the software, this tutorial is the definitive resource for scientists, engineers, and other computer users who want to use PVM to increase the flexibility and power of their high-performance computing resources.
(10151 views)
Book cover: Introduction to Distributed SystemsIntroduction to Distributed Systems
by - arXiv
An overview of distributed computing systems. The definition, architecture, characteristics of distributed systems and the various fallacies are discussed. Finally, discusses client/server computing, World Wide Web and types of distributed systems.
(8179 views)
Book cover: BIG CPU, BIG DATA: Solving the World's Toughest Problems with Parallel ComputingBIG CPU, BIG DATA: Solving the World's Toughest Problems with Parallel Computing
by - Rochester Institute of Technology
With the book BIG CPU, BIG DATA, my goal is to teach you how to write parallel programs that take full advantage of the vast processing power of modern multicore computers, compute clusters, and graphics processing unit (GPU) accelerators.
(5254 views)
Book cover: Distributed Systems for Fun and ProfitDistributed Systems for Fun and Profit
by - mixu.net
This text provides a more accessible introduction to distributed systems. The book brings together the ideas behind many of the more recent distributed systems - such as Amazon's Dynamo, Google's BigTable and MapReduce, Apache's Hadoop and so on.
(8486 views)