Logo

Parallel Computing: Architectures, Algorithms and Applications

Large book cover: Parallel Computing: Architectures, Algorithms and Applications

Parallel Computing: Architectures, Algorithms and Applications
by

Publisher: John von Neumann Institute for Computing
ISBN/ASIN: 158603796X
Number of pages: 830

Description:
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:
Download link
(45MB, PDF)

Similar books

Book cover: Linux Parallel Processing HOWTOLinux Parallel Processing HOWTO
by - 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.
(12214 views)
Book cover: Is Parallel Programming Hard, And, If So, What Can You Do About It?Is Parallel Programming Hard, And, If So, What Can You Do About It?
by
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.
(13706 views)
Book cover: Distributed Detection and Estimation in Wireless Sensor NetworksDistributed Detection and Estimation in Wireless Sensor Networks
by - arXiv
We consider the problems of distributed detection and estimation in wireless sensor networks. We provide a general framework aimed to show how an efficient design of a sensor network requires a joint organization of in-network communication.
(7749 views)
Book cover: Parallel AlgorithmsParallel Algorithms
by - CRC Press
This book provides 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, etc.
(5801 views)