What are criterias of the best parallel and concurrent programming in haskell? It is not easy to find the answer. We spent many hours to analyst top 3 parallel and concurrent programming in haskell and find the best one for you. Let's find more detail below.

What are criterias of the best parallel and concurrent programming in haskell? It is not easy to find the answer. We spent many hours to analyst top 3 parallel and concurrent programming in haskell and find the best one for you. Let’s find more detail below.

Best parallel and concurrent programming in haskell

Product Features Editor's score Go to site
Parallel and Concurrent Programming in Haskell: Techniques for Multicore and Multithreaded Programming Parallel and Concurrent Programming in Haskell: Techniques for Multicore and Multithreaded Programming
Go to amazon.com
[(Parallel and Concurrent Programming in Haskell )] [Author: Simon Marlow] [Aug-2013] [(Parallel and Concurrent Programming in Haskell )] [Author: Simon Marlow] [Aug-2013]
Go to amazon.com
Introduction to Programming Languages Introduction to Programming Languages
Go to amazon.com

1. Parallel and Concurrent Programming in Haskell: Techniques for Multicore and Multithreaded Programming

Feature

Parallel and Concurrent Programming in Haskell

Description

If you have a working knowledge of Haskell, this hands-on book shows you how to use the languages many APIs and frameworks for writing both parallel and concurrent programs. Youll 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

2. [(Parallel and Concurrent Programming in Haskell )] [Author: Simon Marlow] [Aug-2013]

3. Introduction to Programming Languages

Feature

Used Book in Good Condition

Description

In programming courses, using the different syntax of multiple languages, such as C++, Java, PHP, and Python, for the same abstraction often confuses students new to computer science. Introduction to Programming Languages separates programming language concepts from the restraints of multiple language syntax by discussing the concepts at an abstract level.

Designed for a one-semester undergraduate course, this classroom-tested book teaches the principles of programming language design and implementation. It presents:

  • Common features of programming languages at an abstract level rather than a comparative level
  • The implementation model and behavior of programming paradigms at abstract levels so that students understand the power and limitations of programming paradigms
  • Language constructs at a paradigm level
  • A holistic view of programming language design and behavior

To make the book self-contained, the author introduces the necessary concepts of data structures and discrete structures from the perspective of programming language theory. The text covers classical topics, such as syntax and semantics, imperative programming, program structures, information exchange between subprograms, object-oriented programming, logic programming, and functional programming. It also explores newer topics, including dependency analysis, communicating sequential processes, concurrent programming constructs, web and multimedia programming, event-based programming, agent-based programming, synchronous languages, high-productivity programming on massive parallel computers, models for mobile computing, and much more. Along with problems and further reading in each chapter, the book includes in-depth examples and case studies using various languages that help students understand syntax in practical contexts.

Conclusion

By our suggestions above, we hope that you can found the best parallel and concurrent programming in haskell for you. Please don't forget to share your experience by comment in this post. Thank you!