Parallel And Concurrent Programming In Haskell


Parallel And Concurrent Programming In Haskell
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Parallel And Concurrent Programming In Haskell


Parallel And Concurrent Programming In Haskell
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Author : Simon Marlow
language : en
Publisher: "O'Reilly Media, Inc."
Release Date : 2013-07-12

Parallel And Concurrent Programming In Haskell written by Simon Marlow and has been published by "O'Reilly Media, Inc." this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-07-12 with Computers categories.


If you have a working knowledge of Haskell, this hands-on book shows you how to use the language’s many APIs and frameworks for writing both parallel and concurrent programs. You’ll learn how parallelism exploits multicore processors to speed up computation-heavy programs, and how concurrency enables you to write programs with threads for multiple interactions. Author Simon Marlow walks you through the process with lots of code examples that you can run, experiment with, and extend. Divided into separate sections on Parallel and Concurrent Haskell, this book also includes exercises to help you become familiar with the concepts presented: Express parallelism in Haskell with the Eval monad and Evaluation Strategies Parallelize ordinary Haskell code with the Par monad Build parallel array-based computations, using the Repa library Use the Accelerate library to run computations directly on the GPU Work with basic interfaces for writing concurrent code Build trees of threads for larger and more complex programs Learn how to build high-speed concurrent network servers Write distributed programs that run on multiple machines in a network



Parallel And Concurrent Programming In Haskell


Parallel And Concurrent Programming In Haskell
DOWNLOAD eBooks

Author : Simon Marlow
language : en
Publisher: "O'Reilly Media, Inc."
Release Date : 2013-07-12

Parallel And Concurrent Programming In Haskell written by Simon Marlow and has been published by "O'Reilly Media, Inc." this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-07-12 with Computers categories.


If you have a working knowledge of Haskell, this hands-on book shows you how to use the language’s many APIs and frameworks for writing both parallel and concurrent programs. You’ll learn how parallelism exploits multicore processors to speed up computation-heavy programs, and how concurrency enables you to write programs with threads for multiple interactions. Author Simon Marlow walks you through the process with lots of code examples that you can run, experiment with, and extend. Divided into separate sections on Parallel and Concurrent Haskell, this book also includes exercises to help you become familiar with the concepts presented: Express parallelism in Haskell with the Eval monad and Evaluation Strategies Parallelize ordinary Haskell code with the Par monad Build parallel array-based computations, using the Repa library Use the Accelerate library to run computations directly on the GPU Work with basic interfaces for writing concurrent code Build trees of threads for larger and more complex programs Learn how to build high-speed concurrent network servers Write distributed programs that run on multiple machines in a network



Parallel And Concurrent Programming In Haskell


Parallel And Concurrent Programming In Haskell
DOWNLOAD eBooks

Author : Simon Marlow
language : en
Publisher: O'Reilly Media
Release Date : 2013

Parallel And Concurrent Programming In Haskell written by Simon Marlow and has been published by O'Reilly Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013 with Computers categories.


Teaches how to use Haskell's APIs and frameworks for writing both parallel and concurrent programs, and includes code examples and exercises covering the concepts presented.



Parallel And Concurrent Programming In Haskell


Parallel And Concurrent Programming In Haskell
DOWNLOAD eBooks

Author : Simon Marlow
language : en
Publisher:
Release Date : 2013

Parallel And Concurrent Programming In Haskell written by Simon Marlow and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013 with Computer multitasking categories.


If you have a working knowledge of Haskell, this hands-on book shows you how to use the language{u2019}s many APIs and frameworks for writing both parallel and concurrent programs. You{u2019}ll learn how parallelism exploits multicore processors to speed up computation-heavy programs, and how concurrency enables you to write programs with threads for multiple interactions. Author Simon Marlow walks you through the process with lots of code examples that you can run, experiment with, and extend. Divided into separate sections on Parallel and Concurrent Haskell, this book also includes exercises to help you become familiar with the concepts presented: Express parallelism in Haskell with the Eval monad and Evaluation Strategies Parallelize ordinary Haskell code with the Par monad Build parallel array-based computations, using the Repa library Use the Accelerate library to run computations directly on the GPU Work with basic interfaces for writing concurrent code Build trees of threads for larger and more complex programs Learn how to build high-speed concurrent network servers Write distributed programs that run on multiple machines in a network.



Real World Haskell


Real World Haskell
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Author : Bryan O'Sullivan
language : en
Publisher: "O'Reilly Media, Inc."
Release Date : 2008-11-15

Real World Haskell written by Bryan O'Sullivan and has been published by "O'Reilly Media, Inc." this book supported file pdf, txt, epub, kindle and other format this book has been release on 2008-11-15 with Computers categories.


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. Real World Haskell takes you through the basics of functional programming at a brisk pace, and then helps you increase your understanding of Haskell in real-world issues like I/O, performance, dealing with data, concurrency, and more as you move through each chapter.



Advanced Functional Programming


Advanced Functional Programming
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Author : Pieter Koopman
language : en
Publisher: Springer
Release Date : 2009-09-29

Advanced Functional Programming written by Pieter Koopman and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2009-09-29 with Computers categories.


Several carefully revised lectures from the 6th International School on Functional Programming, AFP 2008, are presented in this valuable review. Topics include computation with Delta ML, spider spinning, reduction-based normalization and Haskell programming.



Practical Haskell


Practical Haskell
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Author : Alejandro Serrano Mena
language : en
Publisher: Apress
Release Date : 2019-04-27

Practical Haskell written by Alejandro Serrano Mena and has been published by Apress this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-04-27 with Computers categories.


Get a practical, hands-on introduction to the Haskell language, its libraries and environment, and to the functional programming paradigm that is fast growing in importance in the software industry. This book contains excellent coverage of the Haskell ecosystem and supporting tools, include Cabal and Stack for managing projects, HUnit and QuickCheck for software testing, the Spock framework for developing web applications, Persistent and Esqueleto for database access, and parallel and distributed programming libraries. You’ll see how functional programming is gathering momentum, allowing you to express yourself in a more concise way, reducing boilerplate, and increasing the safety of your code. Haskell is an elegant and noise-free pure functional language with a long history, having a huge number of library contributors and an active community. This makes Haskell the best tool for both learning and applying functional programming, and Practical Haskell takes advantage of this to show off the language and what it can do. What You Will Learn Get started programming with Haskell Examine the different parts of the language Gain an overview of the most important libraries and tools in the Haskell ecosystem Apply functional patterns in real-world scenarios Understand monads and monad transformers Proficiently use laziness and resource management Who This Book Is For Experienced programmers who may be new to the Haskell programming language. However, some prior exposure to Haskell is recommended.



Concurrent Programming On Windows


Concurrent Programming On Windows
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Author : Joe Duffy
language : en
Publisher: Pearson Education
Release Date : 2008-10-28

Concurrent Programming On Windows written by Joe Duffy and has been published by Pearson Education this book supported file pdf, txt, epub, kindle and other format this book has been release on 2008-10-28 with Computers categories.


“When you begin using multi-threading throughout an application, the importance of clean architecture and design is critical. . . . This places an emphasis on understanding not only the platform’s capabilities but also emerging best practices. Joe does a great job interspersing best practices alongside theory throughout his book.” – From the Foreword by Craig Mundie, Chief Research and Strategy Officer, Microsoft Corporation Author Joe Duffy has risen to the challenge of explaining how to write software that takes full advantage of concurrency and hardware parallelism. In Concurrent Programming on Windows, he explains how to design, implement, and maintain large-scale concurrent programs, primarily using C# and C++ for Windows. Duffy aims to give application, system, and library developers the tools and techniques needed to write efficient, safe code for multicore processors. This is important not only for the kinds of problems where concurrency is inherent and easily exploitable—such as server applications, compute-intensive image manipulation, financial analysis, simulations, and AI algorithms—but also for problems that can be speeded up using parallelism but require more effort—such as math libraries, sort routines, report generation, XML manipulation, and stream processing algorithms. Concurrent Programming on Windows has four major sections: The first introduces concurrency at a high level, followed by a section that focuses on the fundamental platform features, inner workings, and API details. Next, there is a section that describes common patterns, best practices, algorithms, and data structures that emerge while writing concurrent software. The final section covers many of the common system-wide architectural and process concerns of concurrent programming. This is the only book you’ll need in order to learn the best practices and common patterns for programming with concurrency on Windows and .NET.



Is Parallel Programming Hard


Is Parallel Programming Hard
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Author : Paul E. McKenney
language : en
Publisher:
Release Date : 2015-06-13

Is Parallel Programming Hard written by Paul E. McKenney and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-06-13 with categories.




Practical Concurrent Haskell


Practical Concurrent Haskell
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Author : Stefania Loredana Nita
language : en
Publisher: Apress
Release Date : 2017-09-14

Practical Concurrent Haskell written by Stefania Loredana Nita and has been published by Apress this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-09-14 with Computers categories.


Learn to use the APIs and frameworks for parallel and concurrent applications in Haskell. This book will show you how to exploit multicore processors with the help of parallelism in order to increase the performance of your applications. Practical Concurrent Haskell teaches you how concurrency enables you to write programs using threads for multiple interactions. After accomplishing this, you will be ready to make your move into application development and portability with applications in cloud computing and big data. You'll use MapReduce and other, similar big data tools as part of your Haskell big data applications development. What You'll Learn Program with Haskell Harness concurrency to Haskell Apply Haskell to big data and cloud computing applications Use Haskell concurrency design patterns in big data Accomplish iterative data processing on big data using Haskell Use MapReduce and work with Haskell on large clusters Who This Book Is For Those with at least some prior experience with Haskell and some prior experience with big data in another programming language such as Java, C#, Python, or C++.