Book Image

Clojure High Performance Programming

By : Shantanu Kumar
Book Image

Clojure High Performance Programming

By: Shantanu Kumar

Overview of this book

<p>Clojure is a young, dynamic, functional programming language that runs on the Java Virtual Machine. It is built with performance, pragmatism, and simplicity in mind. Like most general purpose languages, Clojure’s features have different performance characteristics that one should know in order to write high performance code.<br /><br />Clojure High Performance Programming is a practical, to-the-point guide that shows you how to evaluate the performance implications of different Clojure abstractions, learn about their underpinnings, and apply the right approach for optimum performance in real-world programs.<br /><br />This book discusses the Clojure language in the light of performance factors that you can exploit in your own code.</p> <p>You will also learn about hardware and JVM internals that also impact Clojure’s performance. Key features include performance vocabulary, performance analysis, optimization techniques, and how to apply these to your programs. You will also find detailed information on Clojure's concurrency, state-management, and parallelization primitives.</p> <p>This book is your key to writing high performance Clojure code using the right abstraction, in the right place, using the right technique.</p>
Table of Contents (15 chapters)
Clojure High Performance Programming
Credits
About the Author
Acknowledgments
About the Reviewers
www.PacktPub.com
Preface
Index

Performance tuning


Once we get an insight into the code via test and profiling results, we need to analyze the bottlenecks worth considering for optimization. A better approach is to find the most underperforming portion and optimize it, thereby eliminating the weakest link. We discussed performance aspects of hardware and JVM/Clojure in previous chapters. Optimization and tuning requires rethinking the design and code in light of those aspects and refactoring for performance objectives.

Once we establish the performance bottlenecks, we have to pinpoint the root cause and experiment with improvisations, one step at a time, to see what works. Tuning for performance is an iterative process backed by measurement, monitoring, and experimentation.

Identifying the nature of the performance bottleneck helps a lot in order to experiment with the right aspects of the code. The key is to determine the origin of cost and whether the cost is reasonable. As a general rule, we have to see if the type hints...