I’m working at the University of Toronto this summer, on a research project called JSCOOP. We’re bringing the SCOOP concurrency model to Java, by way of an Eclipse plugin and Java 1.5 annotations. It’s really, really cool stuff that started at York University and moved down here. I’m working under Marsha Chechik with Faraz Torshizi.

I’m also continuing the Cowichan parallel survey with Andrew Borzenko, under Greg Wilson. Last term we successfully implemented the problem set using Boost::MPI and Threading Building Blocks (TBB). So that’s two parallel paradigms down, and many, many more to go. This is what we’re up to this term:

  1. Tightening up the serial implementation. There’s a lot to be said for having a strong base to start from, and having the fastest serial implementation we can produce will be important for performance comparison.
  2. Standardizing the header files. As we’re only looking at implementing the problem set in C++ using libraries available to it at the moment, we’re defining a standard interface for the problems so that they can be called/chained in an abstract fashion. This also lets us put the performance evaluation code in one place.
  3. Uploading what we have so far. By the end of the term, we want our work to be available in a publically viewable location, complete with repository. We have that right now, to some extent, but clean-up must occur before we can actually “publish”.
  4. Implement with 2 more parallel systems. I’m using a product called LinuxTuples and Andrew’s using OpenMP.

I’m finding tuple spaces to be really interesting, and very theoretically pleasing. The performance seems to be decent too, and it seems like every problem fits into a nice box. More on that later.

Eve has, as one can probably tell from the sorry state of this page, come to a standstill. I’ll need to re-evaluate and make some less lofty (read: attainable) goals and an actual roadmap. When I get time to work on it, I’ll post more.