
Programming on Parallel Machines
by Norm Matloff
Publisher: University of California, Davis 2012
Number of pages: 410
Description:
This is aimed more on the practical end of things, real code is featured throughout. The primary emphasis is on simplicity and clarity of the techniques and languages used. It is assumed that the student is reasonably adept in programming, and has math background through linear algebra.
Download or read it online for free here:
Download link
(2.5MB, PDF)
Similar books
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.
(9412 views)
An introduction to one-way quantum computing in distributed architecturesby Earl T. Campbell, Joseph Fitzsimons - arXiv
This review provides a gentle introduction to one-way quantum computing in distributed architectures. One-way quantum computation shows significant promise as a model for distributed systems, particularly probabilistic entangling operations.
(11878 views)
Introduction to Distributed Systemsby 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.
(11693 views)
Is Parallel Programming Hard, And, If So, What Can You Do About It?by Paul E. McKenney
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.
(16270 views)