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: Parallel Computing Works!Parallel Computing Works!
by - Morgan Kaufmann Publishers
A clear illustration of how parallel computers can be successfully applied to large-scale scientific computations. The book demonstrates how various applications in physics, biology and other sciences were implemented on real parallel computers.
(11891 views)
Book cover: The Practice of Parallel ProgrammingThe Practice of Parallel Programming
by - CreateSpace
This book provides an advanced guide to the issues of the parallel and multithreaded programming. It goes beyond the high-level design of the applications, into the details that are often overlooked but vital to make the programs work.
(24367 views)
Book cover: Parallel Computing: Architectures, Algorithms and ApplicationsParallel Computing: Architectures, Algorithms and Applications
by - John von Neumann Institute for Computing
The book gives an overview of the developments, applications and future trends in high performance computing for all platforms. It addresses all aspects of parallel computing, including applications, hardware and software technologies.
(12241 views)
Book cover: Is Parallel Programming Hard, And, If So, What Can You Do About It?Is Parallel Programming Hard, And, If So, What Can You Do About It?
by
The purpose of this book is to help you understand how to program shared-memory parallel machines. By describing the algorithms that have worked well in the past, we hope to help you avoid some of the pitfalls that have beset parallel projects.
(15533 views)