Re: Parallel Haskell on an M2 Mac

Harendra Kumar <[email protected]>
Newsgroups gmane.comp.lang.haskell.cafe
Message-ID <CAPW+kkYROAf3pMf12=iph0kpSxJmu0QLULK3nDhLJ5ZrtQjJww@mail.gmail.com>
Hi Dennis,

For easy concurrent/parallel processing you may find the Haskell
library "streamly" to be helpful. Please see the quick tutorial here:
https://streamly.composewell.com/streamly-0.9.0/User/Tutorials/quick-overview.html
. There are some concurrency/parallelism examples provided in this
tutorial. If you want to run some external programs concurrently and
process the output in a Haskell program you may also want to take a
look at the streamly-process package here:
https://hackage.haskell.org/package/streamly-process .

In case you need further help on using the library, I can help you
out. I am a contributor to the library.

-harendra

On Fri, 19 Jan 2024 at 11:52, Dennis Raddle <[email protected]> wrote:
>
> I don't know a lot about parallel Haskell, so I'm wondering in general terms how that would work with my M2 Mac. I have a search task that's easily run in parallel. For example, I might map a function over a list, and each item's evaluation can run in parallel. On the M2 MacBook I have, there are 4 efficiency cores with 1 thread each, and 8 performance cores with 2 threads each. Is it fairly easy to use parallel Haskell to spread the task over these 20 possible threads? By any chance could I limit it to using the performance cores if that helps the speed?
>
> Thanks,
> Dennis
> _______________________________________________
> Haskell-Cafe mailing list
> To (un)subscribe, modify options or view archives go to:
> http://mail.haskell.org/cgi-bin/mailman/listinfo/haskell-cafe
> Only members subscribed via the mailman list are allowed to post.
_______________________________________________
Haskell-Cafe mailing list
To (un)subscribe, modify options or view archives go to:
http://mail.haskell.org/cgi-bin/mailman/listinfo/haskell-cafe
Only members subscribed via the mailman list are allowed to post.
lmpx.com only provides a reader for public news (NNTP) servers. It is not affiliated with the servers or forums shown here and is not responsible for the content of articles, which is written by their respective authors.