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Chapter 9

Chapter 9, Parallel and Concurrent Design, introduces advance topics in Haskell such as forking IO actions, mapping over lists in parallel, and benchmarking performance.

This is the accompanying source code for Haskell Data Analysis Cookbook. Refer to the book for step-by-step explanations.

Recipes:

  • Code00: Using the Haskell Runtime System (RTS) options
  • Code01: Evaluating a procedure in parallel
  • Code02: Controlling parallel algorithms in sequence
  • Code03: Forking I/O actions for concurrency
  • Code04: Communicating with a forked I/O action
  • Code05: Killing forked threads
  • Code06: Parallelizing pure functions using the Par monad
  • Code07: Mapping over a list in parallel
  • Code08: Accessing tuple elements in parallel
  • Code09: Implementing MapReduce to count word frequencies
  • Code10: Manipulating images in parallel using Repa
  • Code11: Benchmarking runtime performance in Haskell
  • Code12: Using the criterion package to measure performance
  • Code13: Benchmarking runtime performance in the terminal

How to use

Setting up the environment

Install the Haskell Platform.

$ sudo apt-get install haskell-platform

Alternatively, install GHC 7.6 (or above) and Cabal.

$ sudo apt-get install ghc cabal-install

Running the code

A Makefile is provided in each recipe. Compile the corresponding executable by running make.

$ make

Run the resulting code. For example,

$ ./Code01

To clean up the directory:

$ make clean