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.

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Spis treści

Haskell High Performance Programming. Write Haskell programs that are robust and fast enough to stand up to the needs of today eBook -- spis treści

• 1. Identifying Bottlenecks
• 2. Choose the Correct Data Structures
• 3. Profile and Benchmark to Your Heart's Content 30
• 4. The Devil is in the Detail
• 5. Parallelize for Performance
• 6. I/O and Streaming
• 7. Concurrency Performance
• 8. Tweaking the Compiler and Runtime System
• 9. GHC Internals and Code Optimizations
• 10. Foreign Function Interface: Saving the Last CPU Cycle
• 11. Programming for the GPU with Accelerate
• 12. Scaling to the Cloud with Cloud Haskell
• 13. Functional Reactive Programming
• 14. Library recommendations