Programming on Parallel Machines
by Norm Matloff
Publisher: University of California, Davis 2012
Number of pages: 410
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:
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.
by Colin Campbell, Ralph Johnson, Stephen Toub - Microsoft Press
A book that introduces .NET programmers to patterns for including parallelism in their applications. Examples of these patterns are parallel loops, parallel tasks and data aggregation with map-reduce. Each pattern has its own chapter.
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.
by G.C. Fox, R.D. Williams, P.C. Messina - 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.