
FreeComputerBooks.com
Links to Free Computer, Mathematics, Technical Books all over the World
|
|
- Title: Parallel and Concurrent Programming in Haskell: Techniques for Multicore and Multithreaded Programming
- Author(s) Simon Marlow
- Publisher: O'Reilly Media (July 22, 2013); Haskell.org (2012)
- Paperback: 320 pages
- eBook: HTML and PDF
- Language: English
- ISBN-10: 1449335942
- ISBN-13: 978-1449335946
- Share This:
![]() |
This book covers the breadth of Haskell's diverse selection of programming APIs for concurrent and parallel programming.
It is split into two parts. The first part, on parallel programming, covers the techniques for using multiple processors to speed up CPU-intensive computations, including methods for using parallelism in both idiomatic Haskell and numerical array-based algorithms, and for running computations on a GPU. The second part, on concurrent programming, covers techniques for using multiple threads, including overlapping multiple I/O operations, building concurrent network servers, and distributed programming across multiple machines.
About the Authors- Simon Marlow is a lead figure in the Haskell community. He chaired the Haskell 2010 committee, and is the editor of the Haskell 2010 report, the latest revision of the language.
- Parallel and Distributed Computing and Programming
- Haskell Programming
- Functional Programming
- Computer and Programming Languages
- Computer Science
- Books by O'Reilly®

- Parallel and Concurrent Programming in Haskell (Simon Marlow)
- The Mirror Site (1) - PDF
- The Mirror Site (2) - Request PDF
- The Mirror Site (3) - PDF
-
Is Parallel Programming Hard? If So, What Can You Do About It?
It 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.
-
The Practice of Parallel Programming (Sergey A. Babkin)
This book provides an advanced guide to the issues of the parallel and multithreaded programming. It goes beyond the high-level design of the applications, into the details that are often overlooked but vital to make the programs work.
-
Programming on Parallel Machines: GPU, Multicore, Clusters, etc.
The main goal of the book is to present parallel programming techniques that can be used in many situations for many application areas and which enable the reader to develop correct and efficient parallel programs.
-
Learn You a Haskell for Great Good! (Miran Lipovaca)
Packed with the author's original artwork, pop culture references, and most importantly, useful example code, this book teaches functional fundamentals in a way you never thought possible.
-
O'Reilly® Real World Haskell (Bryan O'Sullivan, et al)
This easy-to-use, fast-moving tutorial introduces you to functional programming with Haskell. You'll learn how to use Haskell in a variety of practical ways, from short scripts to large and demanding applications.
:
|
|
![]() |
|
![]() |
|
![]() |
|
![]() |
|
![]() |
|
![]() |
|
![]() |
|
![]() |
|
![]() |
|
![]() |
|
![]() |
|
![]() |
|
![]() |
|
![]() |
|
![]() |
|
![]() |
|
![]() |