by Henri Casanova, et al.
Publisher: CRC Press 2008
Number of pages: 348
The aim of this book is to provide a rigorous yet accessible treatment of parallel algorithms, including theoretical models of parallel computation, parallel algorithm design for homogeneous and heterogeneous platforms, complexity and performance analysis, and fundamental notions of scheduling. The focus is on algorithms for distributed-memory parallel architectures in which computing elements communicate by exchanging messages.
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by Nicholas Carriero, David Gelernter - MIT Press
In the near future every programmer will need to understand parallelism, a powerful way to run programs fast. The authors of this straightforward tutorial provide the instruction that will transform ordinary programmers into parallel programmers.
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 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.