Logo

Is Parallel Programming Hard, And, If So, What Can You Do About It?

Small 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


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.

Home page url

Download or read it online for free here:
Download link
(4.6MB, PDF)

Download mirrors:
Mirror 1

Similar books

Book cover: Vector Models for Data-Parallel ComputingVector Models for Data-Parallel Computing
by - The MIT Press
Vector Models for Data-Parallel Computing describes a model of parallelism that extends and formalizes the Data-Parallel model on which the Connection Machine and other supercomputers are based. It presents many algorithms based on the model.
(5690 views)
Book cover: Petri Nets: Manufacturing and Computer SciencePetri Nets: Manufacturing and Computer Science
by - 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.
(3683 views)
Book cover: How to Write Parallel Programs: A First CourseHow to Write Parallel Programs: A First Course
by - 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.
(3937 views)
Book cover: Parallel Computing: Architectures, Algorithms and ApplicationsParallel Computing: Architectures, Algorithms and Applications
by - 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.
(4769 views)