Parallel Computing: Architectures, Algorithms and Applications
by C. Bischof, at al.
Publisher: John von Neumann Institute for Computing 2007
Number of pages: 830
The aim of the book is to give an overview of the state-of-the-art 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 as well as languages and development environments.
Download or read it online for free here:
by Ian Parberry - Prentice Hall
The rapid growth of parallel complexity theory has led to a proliferation of parallel machine models. This book presents a unified theory of parallel computation based on a network model. It is the first such synthesis in book form.
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 Sergey A. Babkin - 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.
by Hank Dietz - The Aggregate
This document discusses the basic approaches to parallel processing available to Linux users: SMP Linux systems, clusters of networked Linux systems, parallel execution using multimedia instructions, and attached processors hosted by a Linux system.