I'm happy to announce that after four years of development GPars, the Groovy concurrency library, has just reached its 1.0 mark. A fresh and crispy GPars 1.0.0 is now ready for you to grab or download and use on your projects. Also, the up-coming Groovy releases will bundle GPars 1.0.
Compared to the previous release, 1.0 brings several performance enhancements, considerable API updates, polished documentation and numerous functionality improvements, mostly in the dataflow area. Please, check out the What's new section of the user guide for the details. Full release notes are also available.
I would like to use this opportunity to thank all the Groovy people, who have over time contributed in one way or another to the success of GPars. It is my honour to be part of such a helpful and encouraging community. In particular, I would like to thank my colleague GPars commiters, namely Paul King, Dierk Koenig, Alex Tkatchman and Russel Winder, who we've been consistently pushing the project forward and without whom it would hardly ever get this far. I also greatly appreciate the support we received from Guillaume Laforge, the Groovy supreme commander. Thank you all gentlemen!
Groovy concurrency times ahead!
Václav
We are almost there. The 1.0 release is just round the corner. To ensure that 1.0 meets your quality expectations we first prepared a release candidate to test the waters. To take GPars for a test ride, please download or grab it at the usual places, check out the release notes and let us know if something is missing.
Václav
GPars-1.0-beta-3 has been made available for you to try out.
Apart from the usual doze of features and fixes, including speed-up for some operations on parallel collections or lifecycle events for dataflow operators, there is one major change compared to beta-2 worth pointing out explicitly:
- GPars no longer depends on the extra166y artifact. The parallel array library by Doug Lea has been integrated into GPars. The jsr166y (Fork/Join) jar still remains in the dependency list until we migrate GPars to jdk7.
Grab gpars-1.0-beta-3 and have a lot of fun with the new release.
I'd like to direct you to my recent blog post detailing the use of Dataflow operators. It uses the popular Game of Life coding excercise to illustrate the principles of the dataflow concept. Check it out at my personal blog.
We have some great news to all the parallel souls out there - GPars 0.12 has just hit the shelves. The new version comes with lots of big and small improvements, out of which these are the most notable ones:
- Composable asynchronous functions
- The newest version of Doug Lea's Fork/Join framework (aka jsr-166y)
- Active Objects
- Initial stub at Software Transactional Memory support using Multiverse
Check out the full release notes for more details.
To quickly get up-to-speed with GPars, check out our updated User Guide, which is now also available in pdf format.
Your GPars team
Dr.Dobb's has just published my overview article on actors in GPars. You may check it out at http://drdobbs.com/high-performance-computing/229402193
Vaclav
It is just about the time for students to submit their GSoC applications. If you are a student and concurrency is your passion, the GPars team have prepared a list of GSoC assignments. Have a look and apply quickly. The deadline is only four days from now!
Vaclav
For the upcoming 0.12 release gpars now provides a Pdf version of the user guide. Check it out at http://gpars.org/SNAPSHOT/guide/gpars-guide-0.12-beta-1.pdf
Great thanks to the CZJUG hackathon team in Prague, who did the implementation, as well as to Andres Almiray of the Griffon project, who shared his valuable insight into the matter.
In short - GPars is now using the Java 7 concurrency artifacts. Russel Winder has taken initiative and with an official blessing from the jsr-166 team he mirrored the most recent jsr-166 artifacts into the maven repository. This allowed us to remove the dependency on the ancient coconut clone of the fork/join framework and use the "real" live matter. With all the improvements and fixes that jsr-166y has gone through during the last couple of years this has immediate effect on GPars plus once Java 7 ships with jsr-166y bundled, we will be ready.
Nothing changes on the user side of things, provided you're using an automated dependency management tool such as Gradle or Maven. The recent 0.12-beta-1 snapshot correctly declares the new dependencies. You may check out more details in the snapshot user guide.
Enjoy concurrency in Groovy!
Yours GPars Team
Here's some good news for all the developers crafting concurrent code - GPars 0.11 has just been released. Get it fresh at your local Groovy store or go directly to the GPars download site. A lot has changed since the previous release. The most notable additions and changes in 0.11 include:
- Great actor speed-up, so now you don't have to shop elsewhere for fast actors
- Full-blown dataflow implementation with selectors, prioritySelectors, composable tasks, point-to-point and publish-subscribe channels and more
- Java API allowing you to take GPars with you wherever you go
You can check out more details at at the What's new section of the User Guide or read full release notes.
Concurrency has never been easier. Get GPars now, have fun and let us know what you think.
The GPars Team
Hi GPars enthusiasts,
on our path towards the next GPars release we've reached an important milestone - the beta-1 has just been made available. To get a feel of what's coming, experiment with the new dataflow constructs, try agent validators, test GPars from pure Java applications using the new Java API or just get your hair blown back by our lightning fast actors, grab it now at http://bamboo.ci.codehaus.org/browse/GPARS-REL/latest/artifact or use the usual integration options described at http://gpars.codehaus.org/Integration
As is our good tradition, an updated User Guide is ready at http://gpars.org/SNAPSHOT/guide/index.html
You might also like to check out what's new - http://gpars.org/SNAPSHOT/guide/guide/2.%20Getting%20Started.html#2.6%20What%27s%20new
Have groovy times and let us know your opinion.
The GPars team
Alex Miller has written an exellent wrap-up article on GPars, explaining all the available concurrency concepts. I recommend you check it out at developerWorks.
Hello everyone,
the GPars team is happy to announce that the GPars 0.10 GA release, loaded with Groovy concurrency gadgets, is now available for you to download, integrate, study and enjoy.
There's quite a lot of changes, additions and improvements since the last release, so please checkout the list of major changes
Full release notes are available at http://jira.codehaus.org/secure/ReleaseNote.jspa?projectId=12030&version=15793
In the name of the whole team, I'd like to thank our users for support, ideas, contributions and feedback.
Vaclav
Fork/Join, Map/Reduce, Actors, Dataflow Concurrency and more joy for Groovy in the GPars 0.9 release!
It is my great pleasure to inform you the Groovy folks that the empowered GPars team has constructed, built, tested, packaged and delivered the 0.9 release of GPars - the concurrency library for Groovy. Get it hot at the download page (http://code.google.com/p/gparallelizer/downloads/list) or integrate it in your projects through Grape, Gradle, Ivy or Maven (http://gpars.codehaus.org/Integration) and check out the brand new User Guide at http://www.gpars.org/guide/index.html.
Pay special attention to the release highlights:
Unified thread-bound and event-driven actors
Considerable actor speedup
Dynamic message handler registration for DynamicDispatchActor
Dataflow operators and tasks
Fork/Join convenience abstraction
Map/Reduce functional style of collection processing
Newly added parallel collection-processing methods - groupByParallel(), minParallel(), maxParallel(), sumParallel(), foldParallel(), grepParallel()
Full release notes are available at http://jira.codehaus.org/secure/ReleaseNote.jspa?projectId=12030&version=15702
For discussions, sharing tips and hot news don't forget to subscribe to the GPars user mailing list at http://xircles.codehaus.org/projects/gpars/lists. See you all there!
Happy parallel Groovy coding!