Processing ......

FreeComputerBooks.com
Links to Free Computer, Mathematics, Technical Books all over the World
|
|
- Title Is Parallel Programming Hard? If So, What Can You Do About It?
- Author(s) Paul E. McKenney
- Publisher: kernel.org (2021, Updated Continuously)
- Paperback N/A
- eBook PDF (599 pages)
- Language: English
- ISBN-10/ASIN: B00Q6087Q2
- ISBN-13: N/A
- Share This:
![]() |
Book 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 tohelp you avoid at least some of the pitfalls that have beset parallel projects. But you should think of this book as a foundation on which to build, rather than as a completed cathedral.
This book examines what makes parallel programming hard, and describes design techniques that can help you avoid many parallel-programming pitfalls. It is primarily intended for low-level C/C++ code, but offers valuable lessons for other environments as well.
About the Authors- N/A
- Parallel Computing and Programming
- C++ Programming
- C Programming
- Unix/Linux Programming - System and Applications
- Algorithms and Data Structures
- Computational Complexity

- Is Parallel Programming Hard? If So, What Can You Do About It? (Paul E. McKenney)
- The Mirror Site (1) - PDF
- Data Parallel C++: Mastering DPC++ Programming
- Pro TBB: C++ Parallel Programming with Threading Building Blocks
- Parallel Algorithms (Henri Casanova, et al)
- The Practice of Parallel Programming (Sergey A. Babkin)
- O'Reilly® Parallel and Concurrent Programming in Haskell
- Programming on Parallel Machines: GPU, Multicore, Clusters, etc.