Chapter 10. Concurrent Programming in Groovy
In this chapter, we will cover:
- Processing collections concurrently
- Downloading files concurrently
- Splitting a large task into smaller parallel jobs
- Running tasks in parallel and asynchronously
- Using actors to build message-based concurrency
- Using STM to atomically update fields
- Using dataflow variables for lazy evaluation
Introduction
The chapter you are about to read contains several recipes that deal with concurrent programming. We are going to examine a number of very efficient algorithm and paradigms to leverage the modern architecture of multi-core CPUs.
Most of the recipes in this chapter will use the awesome GPars (Groovy Parallel System) framework. GPars, which reached v1.0 at the end of 2012, is now ...
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