Parallel and Distributed Computation: Numerical Methods
by Dimitri P. Bertsekas, John Tsitsiklis
Publisher: Athena Scientific 2003
This highly acclaimed work, first published in 1989, is a comprehensive and theoretically sound treatment of parallel and distributed numerical methods. It focuses on algorithms that are naturally suited for massive parallelization, and it explores the fundamental convergence, rate of convergence, communication, and synchronization issues associated with such algorithms.
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by Norm Matloff - University of California, Davis
This book is aimed more on the practical end of things, real code is featured throughout. The emphasis is on clarity of the techniques and languages used. It is assumed that the student is reasonably adept in programming and linear algebra.
by Robert Virding, Claes Wikstrom, Mike Williams - Prentice Hall PTR
A tutorial of Erlang, a concurrent, functional programming language. The emphasis of this book is on learning through example and a number of well known problems in designing and programming concurrent fault-tolerant real-time systems.
by C. Bischof, at al. - John von Neumann Institute for Computing
The book gives an overview 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.
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.