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

Lifting up from I/O


In real-world applications, it's quite usual for much of the code base to live in monads or monad stacks. In such situations, concurrency operations from Control.Concurrent become challenging, because they all are monomorphic in IO. Sometimes this isn't much of a problem, because we can use liftIO from the MonadIO class to lift arbitrary IO actions.

But MonadIO leaves two important cases uncovered. The first one is about other base monads besides IO, such as STM. Though more limited in its use cases, it's sometimes desired to have a monad stack on top of STM. The other case is about exception handling, for which MonadIO is quite insufficient; all of Control.Exception is monomorphic in IO, meaning a lot of plumbing if they are used within a monad stack.

In this chapter, we'll look at some solutions to both cases. Another thing that's often desired, and which we'll cover first, is top-level mutable references. In some languages these are called globals, and though they're...