Stefan Marr

Associate Professor (Senior Lecturer)
and Royal Society Industry Fellow

Stefan Marr I am working at the School of Computing at the University of Kent. My work focuses on programming language implementation techniques, complex concurrent systems, and tooling.

Much of work revolves around making interpreters faster, detecting and preventing concurrency bugs at run time, and use modern language runtime systems to provide programmers with better tooling.

For contact details see my page at the School of Computing.

Archive of posts with the tag Rete

May 7, 2017: A 10 Year Journey, Stop 2: Supporting All Kind of Concurrency Models on a Simple VM

Last week, I started a series of posts to go over some of the projects I was involved in during my first 10 years working on language implementations. Today’s post focuses on my time as PhD student.
Feb 13, 2014: Parallel Gesture Recognition with Soft Real-Time Guarantees

More than three years ago, Lode and I started thinking about parallel event processing for realtime systems. The main use case back then was gesture and motion detection based on cameras such as the Kinect. Thierry created the first fully functional prototype called PARTE, and in addition to his master thesis, we wrote a workshop paper about it. Now, we finally got also the revised and extended version of this paper accepted.
Oct 24, 2013: Cloud PARTE: Elastic Complex Event Processing based on Mobile Actors

On Sunday, I am going to present work on a distributed Rete engine I have been involved in over the last year. The presentation will be at the AGERE workshop co-located with SPLASH. Note that most of the work has been done by Janwillem and Thierry over the last two years. They did a great job in first implementing and parallelizing our Rete engine and now distributing it to scale up for “big data” scenarios.
Jan 9, 2013: Parallel Gesture Recognition with Soft Real-Time Guarantees

It has been a while since SPLASH’12, but I got finally around to put up a copy of our paper at the AGERE’12 workshop. It is based on Thierry’s master thesis and presents his work on parallelizing a Rete engine for gesture recognition. Lode and I were his advisors and are happily working with him on what we promised in the future work section.