I'd also be curious to know if you can somehow distinguish the types of cores from each other, but otherwise all the usual parallel stuff should work on Arm-based Macs as it works on other platforms supported by GHC. The book described at https://simonmar.github.io/pages/pcph.html is still the best source for learning about parallel Haskell. On Fri, 19 Jan 2024 at 08:22, Dennis Raddle 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.

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-overvie... . 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 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.