Parallel Complexity Theory
by Ian Parberry
Publisher: Prentice Hall 1987
Number of pages: 212
Parallel complexity theory is one of the fastest-growing fields in theoretical computer science. This rapid growth has led to a proliferation of parallel machine models and theoretical frameworks. This book presents a unified theory of parallel computation based on a network model.
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by Blaise Barney - Lawrence Livermore National Laboratory
This tutorial covers the very basics of parallel computing, and is intended for someone who is just becoming acquainted with the subject. It begins with a brief overview, including concepts and terminology associated with parallel computing.
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 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.
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.