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Haskell Data Analysis cookbook

You're reading from   Haskell Data Analysis cookbook Explore intuitive data analysis techniques and powerful machine learning methods using over 130 practical recipes

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Product type Paperback
Published in Jun 2014
Publisher
ISBN-13 9781783286331
Length 334 pages
Edition 1st Edition
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Author (1):
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Nishant Shukla Nishant Shukla
Author Profile Icon Nishant Shukla
Nishant Shukla
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Toc

Table of Contents (14) Chapters Close

Preface 1. The Hunt for Data FREE CHAPTER 2. Integrity and Inspection 3. The Science of Words 4. Data Hashing 5. The Dance with Trees 6. Graph Fundamentals 7. Statistics and Analysis 8. Clustering and Classification 9. Parallel and Concurrent Design 10. Real-time Data 11. Visualizing Data 12. Exporting and Presenting Index

Using the Haskell Runtime System options

The Runtime System (RTS) in Haskell configures special options such as scheduling, profiling, and managing storage for a compiled Haskell program. In order to write multithreaded code, we must specify our own RTS options as outlined in this recipe.

For further reading, the GHC Commentary on the official Haskell Wiki web page has a very detailed explanation of the runtime system available at https://ghc.haskell.org/trac/ghc/wiki/Commentary/Rts.

How to do it…

Open a terminal, compile a code, and run it using the RTS option. Imagine that our file is named Main.hs, and issue the following commands:

$ ghc -O2 --make Main.hs -threaded -rtsopts 
$ ./Main  +RTS -N2

How it works…

In order to make use of multiple threads, we must compile our code with the threaded and rtsopts flags enabled.

Now that it is compiled with rtsopts, we can run our program with special instructions placed between the +RTS and -RTS flags. If there is a +RTS flag without...

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