Yeah. I wrote my master's thesis on the topic and worked for Dr. Dan Cooke who created the language. SequenceL falls under the Data and Control parallel language category. I was also playing with parallel Haskell around that time (2003) when you explicitly had to specify hints to Haskell for parallelization. However, with SequenceL, nothing like that is required. The problem was too much parallelism. We could find all the parallelisms no problem. distributed computing, load balancing etc. were some of the issues the group was looking at. My own work was to dvelop an interpreter in Python - and executed on Tuplespaces, a concept popularized by David Gelernter