Is Parallel Programming Hard, And, If So, What Can You Do About It?
by Paul E. McKenney
2011
Number of pages: 413
Description:
The purpose of this book is to help you understand how to program shared-memory parallel machines without risking your sanity. By describing the algorithms and designs that have worked well in the past, we hope to help you avoid at least some of the pitfalls that have beset parallel projects.
Download or read it online for free here:
Download link
(4.6MB, PDF)
Similar books
Distributed Detection and Estimation in Wireless Sensor Networksby Sergio Barbarossa, Stefania Sardellitti, Paolo Di Lorenzo - 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.
(7751 views)
Parallel Computing: Architectures, Algorithms and Applicationsby 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.
(10457 views)
Distributed Systems for Fun and Profitby Mikito Takada - mixu.net
This text provides a more accessible introduction to distributed systems. The book brings together the ideas behind many of the more recent distributed systems - such as Amazon's Dynamo, Google's BigTable and MapReduce, Apache's Hadoop and so on.
(11926 views)
Introduction to Distributed Systemsby Sabu M. Thampi - arXiv
An overview of distributed computing systems. The definition, architecture, characteristics of distributed systems and the various fallacies are discussed. Finally, discusses client/server computing, World Wide Web and types of distributed systems.
(9473 views)