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.
- 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
Makefile is provided in each recipe. Compile the corresponding executable by running
Run the resulting code. For example,
To clean up the directory:
$ make clean