
On 16/02/2008, Alan Carter
Then when all this was going on, question number five appeared: What the hell are these "lightweight Haskell threads"? Are they some kind of green threads running non-preemptively inside a single OS thread? Are they OS threads that could run concurrently on multi-core hardware? If they are green threads (and it sounds like they are) then this is all an academic exercise which has no production application yet.
Best wishes - and still hoping I'm wrong after all
Alan Carter
From this extremely simple form of parallel annotation, it's possible to build lots of interesting mechanisms for carrying out evaluation in
Sorry for missing this question in my first response. The answer of course depends on the Haskell implementation in question, but of course, we're talking about GHC here. Haskell threads, in the sense of Control.Concurrent.forkIO, are essentially a sort of green thread which is scheduled by the Haskell runtime system. Threads can either be bound to a particular OS thread, or (as is default), not be bound to a particular OS thread, allowing the scheduler to manage n Haskell threads with m OS threads, where usually you want to set m to something like the number of processors in your machine. I'm a little hazy on the details, and perhaps someone more familiar with the GHC runtime can fill in some more details for you if you'd like. Aside from Concurrent Haskell (which was originally designed for single-processor concurrency and later extended to allow for scheduling threads to execute in multiple OS threads), there is Parallel Haskell, which is used to annotate pure computations for parallelism (but since they're pure, there is no concurrency). At its core, Parallel Haskell has an extremely simple programmer interface: par :: a -> b -> b Evaluation of an expression of the form (par x y) will cause x to be put in a queue of expressions to be evaluated by a worker on some OS thread, if there is free time, before resulting in y. If there is no time to evaluate x on some processor before it is eventually needed, then evaluation just proceeds normally, but if there is, then it won't need evaluation later, due to the usual sharing from lazy evaluation. parallel. You can read more about that in a paper titled "Algorithm + Strategy = Parallelism" by PW Trinder, K Hammond, H-W Loidl and Simon Peyton Jones, or check out the documentation for Control.Parallel.Strategies. - Cale