How to Write Parallel Programs: A First Course

How to Write Parallel Programs: A First Course

How to Write Parallel Programs: A First Course
by Nicholas Carriero, David Gelernter

Publisher: MIT Press 1992
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 here:
Download link
(1.1MB, PDF)

Similar books

Introduction to Distributed SystemsIntroduction to Distributed Systems
by Sabu M. Thampi - 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.
(4627 views)
Parallel AlgorithmsParallel Algorithms
by Henri Casanova, et al. - CRC Press
This book provides a rigorous yet accessible treatment of parallel algorithms, including theoretical models of parallel computation, parallel algorithm design for homogeneous and heterogeneous platforms, complexity and performance analysis, etc.
(278 views)
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 Alan Kaminsky - 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.
(870 views)
Distributed Systems for Fun and ProfitDistributed Systems for Fun and Profit
by Mikito Takada - 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.
(2144 views)