Brilliant. Can't wait to see this in action. On 8/1/09, Rich Hickey <richhic...@gmail.com> wrote: > > On Fri, Jul 31, 2009 at 10:40 AM, Eric<ericwnorm...@gmail.com> wrote: >> >> I tried to import clojure.parallel today and it didn't work. It >> couldn't find forkjoin.ParallelArray >> >> So I went hunting for it and it doesn't exist. There is a >> extra166y.ParallelArray. In fact, all of the names imported were in >> extra166y. So I changed the line in parallel to reflect that. >> >> (import '(jsr166y.forkjoin ParallelArray ParallelArrayWithBounds >> ParallelArrayWithFilter >> ParallelArrayWithMapping >> Ops$Op Ops$BinaryOp Ops$Reducer Ops >> $Predicate Ops$BinaryPredicate >> Ops$IntAndObjectPredicate Ops >> $IntAndObjectToObject)) >> >> changed to >> >> (import '(extra166y ParallelArray ParallelArrayWithBounds >> ParallelArrayWithFilter >> ParallelArrayWithMapping >> Ops$Op Ops$BinaryOp Ops$Reducer Ops >> $Predicate Ops$BinaryPredicate >> Ops$IntAndObjectPredicate Ops >> $IntAndObjectToObject)) >> >> >> This seems to fix it. > > You are right, ParallelArray has moved, but more important, isn't > going to make it into Java 7. Due to that, and some prodding to look > at the latest ForkJoin, I've started work on implementing parallel > algorithms right on the Clojure persistent data structures using the > lower-lever ForkJoin primitives. > > The work is in the 'par' branch on GitHub: > > http://github.com/richhickey/clojure/tree/par > > You'll need the jsr166y.jar I have built, placed in the same directory > as build.xml: > > http://cloud.github.com/downloads/richhickey/clojure/jsr166y.jar > > And be building and running with Java 6. > > Right now there is just pvmap and pvreduce, both in the clojure.par > namespace. Both take (Clojure) vectors, and, unlike pmap, are quite > fast even for relatively small operations, i.e. (pvmap inc v) should > be faster than (map inc v) for large vectors on multicore machines. > The nice thing is pvmap returns a Clojure vector, so no need for the > special data structures as with the older parallel library. > > The results are quite promising, and I look forward to implementing > many parallel operations on Clojure's vectors and maps, and providing > the tools for you to write your own. > > Feedback welcome, > > Rich > > > >
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