-
Book Overview & Buying
-
Table Of Contents
-
Feedback & Rating
Haskell High Performance Programming
By :
Haskell High Performance Programming
By:
Overview of this book
Haskell, with its power to optimize the code and its high performance, is a natural candidate for high performance programming. It is especially well suited to stacking abstractions high with a relatively low performance cost. This book addresses the challenges of writing efficient code with lazy evaluation and techniques often used to optimize the performance of Haskell programs.
We open with an in-depth look at the evaluation of Haskell expressions and discuss optimization and benchmarking. You will learn to use parallelism and we'll explore the concept of streaming. We’ll demonstrate the benefits of running multithreaded and concurrent applications. Next we’ll guide you through various profiling tools that will help you identify performance issues in your program. We’ll end our journey by looking at GPGPU, Cloud and Functional Reactive Programming in Haskell. At the very end there is a catalogue of robust library recommendations with code samples.
By the end of the book, you will be able to boost the performance of any app and prepare it to stand up to real-world punishment.
Table of Contents (21 chapters)
Haskell High Performance Programming
Credits
About the Author
About the Reviewer
www.PacktPub.com
Preface
Free Chapter
Identifying Bottlenecks
Choosing the Correct Data Structures
Profile and Benchmark to Your Heart's Content
The Devil's in the Detail
Parallelize for Performance
I/O and Streaming
Concurrency and Performance
Tweaking the Compiler and Runtime System (GHC)
GHC Internals and Code Generation
Foreign Function Interface
Programming for the GPU with Accelerate
Scaling to the Cloud with Cloud Haskell
Functional Reactive Programming
Library Recommendations
Index
Customer Reviews
