Book Image

Haskell High Performance Programming

By : Samuli Thomasson
Book Image

Haskell High Performance Programming

By: Samuli Thomasson

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
Index

Handling sparse data


Vectors and arrays are excellent for dense data, that is, when you're not doing inserts in between elements, and the range of indices is reasonable. But if you need, for example, inserts and indexing in arbitrary indices, a tabular structure won't perform well. In such cases, you need some sort of a map or similar structure.

Haskell doesn't have any sparse structures built-in, nor does the Haskell report define any. This has some nice consequences:

  • Keeps the core language small

  • Gives Haskellers complete freedom over the implementation

  • Allows writing code that doesn't care much about the specific underlying data structure

There are many excellent libraries, implementing a wide range of sparse data structures, in Hackage, not to mention type classes capturing general properties of those structures. Unfortunately, the ecosystem is a bit too scattered, so it is sometimes hard to determine which library would give the best performance, cleanest code, and most flexibility, or whether...