Parallel Computing: Architectures, Algorithms and Applications
by C. Bischof, at al.
Publisher: John von Neumann Institute for Computing 2007
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.
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by 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.
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.
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 Al Geist, at al. - The MIT Press
Written by the team that developed the software, this tutorial is the definitive resource for scientists, engineers, and other computer users who want to use PVM to increase the flexibility and power of their high-performance computing resources.