By Samuli Thomasson
Key Features
- Explore the advantages of lazy assessment, compiler good points, and instruments and libraries designed for top performance
- Write speedy courses at tremendous excessive degrees of abstraction
- Work via sensible examples to help you handle the demanding situations of writing effective code
Book Description
Haskell, with its energy to optimize the code and its excessive functionality, is a typical candidate for prime functionality programming. it really is in particular compatible to stacking abstractions excessive with a comparatively low functionality price. This e-book addresses the demanding situations of writing effective code with lazy overview and strategies usually used to optimize the functionality of Haskell programs.
We open with an in-depth examine the review of Haskell expressions and speak about optimization and benchmarking. you are going to learn how to use parallelism and we are going to discover the idea that of streaming. we are going to reveal some great benefits of working multithreaded and concurrent purposes. subsequent we will consultant you thru a variety of profiling instruments to help you determine functionality matters on your application. we will finish our trip by means of GPGPU, Cloud and practical Reactive Programming in Haskell. on the very finish there's a catalogue of strong library concepts with code samples.
By the top of the publication, it is possible for you to to spice up the functionality of any app and get ready it to face as much as real-world punishment.
What you are going to learn
- Program idiomatic Haskell that is additionally strangely efficient
- Improve functionality of your code with info parallelism, inlining, and strictness annotations
- Profile your courses to spot house leaks and neglected possibilities for optimization
- Find out how one can decide on the most productive info and regulate structures
- Optimize the Glasgow Haskell Compiler and runtime procedure for particular programs
- See the way to easily drop to reduce abstractions at any place necessary
- Execute programming for the GPU with Accelerate
- Implement programming to simply scale to the cloud with Cloud Haskell
About the Author
Samuli Thomasson is a long-time practical programming fanatic from Finland who has used Haskell greatly, either as a hobby and commercially, for over 4 years. He enjoys operating with nice instruments that assist in getting issues performed great and fast.
His present activity at RELEX options includes offering technical suggestions to a number of sensible difficulties. in addition to sensible programming, Samuli is attracted to disbursed platforms, which he additionally reports on the collage of Helsinki.
Table of Contents
- Identifying Bottlenecks
- Choosing the right kind information Structures
- Profile and Benchmark for your Heart's Content
- The Devil's within the Detail
- Parallelize for Performance
- I/O and Streaming
- Concurrency and Performance
- Tweaking the Compiler and Runtime method (GHC)
- GHC Internals and Code Generation
- Foreign functionality Interface
- Programming for the GPU with Accelerate
- Scaling to the Cloud with Cloud Haskell
- Functional Reactive Programming
- Library Recommendations
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Additional info for Haskell High Performance Programming
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Haskell High Performance Programming by Samuli Thomasson
by Richard
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