Is Parallel Programming Hard, And, If So, What Can You Do About It?
by Paul E. McKenney
2011
Number of pages: 413
Description:
The purpose of this book is to help you understand how to program shared-memory parallel machines without risking your sanity. By describing the algorithms and designs that have worked well in the past, we hope to help you avoid at least some of the pitfalls that have beset parallel projects.
Download or read it online for free here:
Download link
(4.6MB, PDF)
Similar books
Designing and Building Parallel Programsby Ian Foster - Addison Wesley
Introduction to parallel programming and a guide for developing programs for parallel and distributed systems. Programs are developed in a methodical fashion and both cost and performance are considered at each stage in a design.
(17736 views)
BIG CPU, BIG DATA: Solving the World's Toughest Problems with Parallel Computingby 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.
(8704 views)
Programming on Parallel Machinesby Norm Matlo ff - University of California, Davis
This book is aimed more on the practical end of things, real code is featured throughout. The emphasis is on clarity of the techniques and languages used. It is assumed that the student is reasonably adept in programming and linear algebra.
(10355 views)
How to Write Parallel Programs: A First Courseby Nicholas Carriero, David Gelernter - MIT Press
In the near future every programmer will need to understand parallelism, a powerful way to run programs fast. The authors of this straightforward tutorial provide the instruction that will transform ordinary programmers into parallel programmers.
(11353 views)