When F# comes out, I am going to have an embarrassment of riches in the asynchronous/parallel programming area. An answer to this question does a pretty good job of describi
Async worksflows are implemented via the F# monadic syntax. This means that rather than transforming you're workflows into task, you could write your own version of "async" that was based on the parallel task library. I say this with a couple of caveats:
For more details of how to implement a monad in F#, see the "Expert F#" book or google a bit on "F# monads".
Not a complete answer I know, but hope it helps a bit.
See Task Parallel Library vs Async Workflows.
I'd summarize the basics as follows:
Task Parallel Library: Allows multiple units of work to run efficiently on multiple cores, including relatively simple scenarios such as spawning multiple threads to do similar computations in parallel as well as more complicated operations where the computations themselves also end up spawning additional tasks. Uses the improved .NET 4.0 threadpool and work stealing queues to ensure that all cores are kept busy.
Async workflows: Allows asynchronous computations to run without occupying unneeded threads, initiating callbacks when results are available.
PLINQ: Code written using PLINQ ends up running via the TPL, but this is a nicer interface for code which is easily expressed using LINQ queries (e.g. doing a single operation on each item in an array of data in parallel).
Note that async workflows can be converted to Tasks using the StartAsTask
method, and Tasks can be converted to Async
s using the Async.AwaitTask
method, so it's possible to bridge the technologies, although they do aim at slightly different target scenarios.
To me, the rule of thumb would be that if you're actively doing lots of computation on different threads, you'll want to use the TPL (possibly via PLINQ or an F# equivalent such as the PSeq module), whereas if you're trying to do lots of IO (whether parallel or not), you should use asynch workflows. So a raytracer would use TPL to kick off tasks to render each pixel (or scanline) in parallel, maximizing the available computing power on your computer. But downloading a bunch of webpages would be done with async workflows since there's not much computation to spread among cores; you just need to be notified by the OS when the results have come in.