Stefan Marr, Researcher and Lecturer

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

In my dissertation, I proposed an ownership-based metaobject protocol as a unifying substrate for concurrency support in multi-language VMs.

Currently, I am working on fast dynamic language implementations, on combining concurrency models in a safe manner, automatically preventing concurrency issues from manifesting, and to enable developers to make sense of complex concurrent programs with appropriate tools.

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

Archive of posts with the tag javascript

Oct 22, 2016 Language Research with Truffle at the SPLASH'16 Conference
Next weekend starts one of the major conferences of the programming languages research community. The conference hosts many events including our Meta’16 workshop on Metaprogramming, SPLASH-I with research and industry talks, the Dynamic Languages Symposium, and the OOPSLA research track.
Apr 8, 2016 Adding Debugging Support to a Truffle Language
Beside the great performance after just-in-time compilation, the Truffle Language implementation framework provides a few other highly interesting features to language implementers. One of them is the instrumentation framework, which includes a REPL, profiler, and debugger.
Nov 2, 2011 OOSPLA 2011 @SPLASH2011, Day 3
The third day started with Brendan Eich’s keynote on JavaScript’s world domination plan. It was a very technical keynote, not very typical I suppose. And he was rushing through his slides with an enormous speed. Good that I have some JavaScript background. Aside all the small things he mentioned, interesting for me is that he seemed to be very interested to get Intel’s RiverTrail approach to data-parallelism into ECMAScript in one or another form. That is kind of contradicting the position I heard so far, that ECMAScript would be done with having WebWorkers as a model for concurrency and parallel programming.