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)
Download mirrors:
Mirror 1
Similar books
Parallel Algorithmsby Henri Casanova, et al. - 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.
(1035 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.
(5436 views)
Parallel Programming with Microsoft .NETby Colin Campbell, Ralph Johnson, Stephen Toub - Microsoft Press
A book that introduces .NET programmers to patterns for including parallelism in their applications. Examples of these patterns are parallel loops, parallel tasks and data aggregation with map-reduce. Each pattern has its own chapter.
(7738 views)
Petri Nets: Manufacturing and Computer Scienceby Pawel Pawlewski (ed.) - InTech
The present monograph focuses on Petri Nets applications in two main areas: manufacturing and computer science. The theory of Petri Nets is still developing: some directions of investigations are presented in this volume.
(4276 views)