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  1. ACM SIGPLAN Commercial Users of Functional Programming (CUFP '10)
  2. High-performance Haskell
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Clojure Tutorial
F#: embracing functional programming in Visual Studio 2010
Building robust servers with Erlang
Scaling Scala at Twitter
High-performance Haskell
Cryptol, a DSL for cryptographic algorithms
F# 2.0: a day at the beach
Naïveté vs. experience: or, how we thought we could use Scala and Clojure, and how we actually did
Implementing web sites with Scala and Lift
Reactive extensions (Rx): curing your asynchronous programming blues
Camlp4 and Template Haskell
Eden: an F#/WPF framework for building GUI tools
Functional language compiler experiences at Intel
Riak Core: building distributed applications without shared state
Functional programming at Freebase
ACL2: eating one's own dogfood

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Conference Proceedings

High-performance Haskell

Content Provider ACM Digital Library
Author Tibell, Johan
Abstract Haskell makes it possible to write elegant, high-level code that rivals the performance of low-level, imperative languages. In this tutorial, I will introduce the tools Haskell provides for reasoning about the performance of your code and techniques that you can use to make your code faster. I will cover important topics in Haskell performance optimization, including: •accurate benchmarking, •CPU and memory profiling, •laziness and strictness, •making sense of compiler output, •performance idioms, and •data types and their impact on performance. By the end of the tutorial you should have an understanding of how to accurately measure the performance of your Haskell program, determine which parts of the program needs improvement, and finally, improve the performance of the program.
Starting Page 1
Ending Page 1
Page Count 1
ISBN 9781450305167
DOI 10.1145/1900160.1900164
Language English
Publisher Association for Computing Machinery (ACM)
Publisher Date 2010-10-01
Publisher Place New York
Access Restriction Subscribed
Content Type Text
Resource Type Article
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