Concurrency with GPars

This talk looks at writing concurrent Groovy programs using GPars. GPars is a comprehensive library for parallel execution that provides a menu of options to the developer.

The different choices available have pros and cons depending on the circumstances. We'll look at the parallel collection support and the optional transparent way to use that support. Then we'll examine Map/Reduce. We'll also look at the DataFlow approach to achieving concurrency, the Actors approach and the use of Agents for delegated task coordination. Finally, we'll peek at Multiverse (Software Transactional Memory) and JCSP, two emerging approaches that might appear more prominently in future versions of GPars.

About Paul King

Paul King leads ASERT, an organization based in Brisbane, Australia which provides software development, training and mentoring services to customers wanting to embrace new technologies, harness best practices and innovate. He has been contributing to open source projects for nearly 20 years and is an active committer on numerous projects including Groovy. Paul speaks at international conferences, publishes in software magazines and journals, and is a co-author of Manning's best-seller: Groovy in Action.

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