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Logs: liberachat/#haskell

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2021-07-26 06:08:00 → euouae joins (~euouae@user/euouae)
2021-07-26 06:08:14 <euouae> Hello how do I run some computations in parallel?
2021-07-26 06:08:38 <Axman6> we have lots of ways to doing that, can you give some more info about what you want to run?
2021-07-26 06:08:56 <euouae> For example I have https://paste.tomsmeding.com/BkWecUCU now
2021-07-26 06:09:22 <euouae> I'd like the x1-loop in averageTriangleArea to be split before the sum in the processors
2021-07-26 06:10:02 → thyriaen joins (~thyriaen@x4dbf5c5c.dyn.telefonica.de)
2021-07-26 06:10:15 × ph88 quits (~ph88@2a02:8109:9e00:7e5c:8db8:987d:36eb:f1a6) (Ping timeout: 276 seconds)
2021-07-26 06:10:51 <Axman6> you might want ot check out https://www.oreilly.com/library/view/parallel-and-concurrent/9781449335939/ - if you scroll to the ToC, you can see it's all available for free online (but Simon is a great guy so you should buy it if you find it helpful!)
2021-07-26 06:11:37 <Axman6> https://www.oreilly.com/library/view/parallel-and-concurrent/9781449335939/pt01.html specifically is where you'd want to start - it's pretty easy to do things which look like they should run in parallel but don;t because of laziness, so that's worth reading
2021-07-26 06:11:38 <euouae> oh wow he's a codev of ghc
2021-07-26 06:12:31 <Axman6> yep, that book should be considered canonical, as Simon built most of this stuff as far as I understand it. you will eventually end up at https://hackage.haskell.org/package/parallel
2021-07-26 06:12:32 × shutdown_-h_now quits (~arjan@82-75-187-100.cable.dynamic.v4.ziggo.nl) (Remote host closed the connection)
2021-07-26 06:12:54 <Axman6> https://hackage.haskell.org/package/parallel-3.2.2.0/docs/Control-Parallel-Strategies.html and where the meat is
2021-07-26 06:14:19 <euouae> Okay, very nice. Thank you
2021-07-26 06:14:40 × fef quits (~thedawn@user/thedawn) (Remote host closed the connection)
2021-07-26 06:15:11 → fef joins (~thedawn@user/thedawn)
2021-07-26 06:15:31 <euouae> Axman6, do you also happen to know if Haskell does well with distributed computing?
2021-07-26 06:16:14 <euouae> In terms of computations. In C++ I was looking into OpenMP (parallelism), OpenMPI (distributed computing) and HIP (AMD & Intel gpu programming)
2021-07-26 06:16:41 <Axman6> That's a difficult question. It's not Erlang, but there is some stuff for doing Erlang like things in the cloud-haskell project. It's an excellent language for writing network servers though, and using those you can of course build distributed computing systems
2021-07-26 06:17:18 <euouae> Okay, there's no user friendly stuff then ]
2021-07-26 06:17:25 <Axman6> Haskell threads are extremely lightweight, so for network servers, it is the norm to fork one thread per connection, which greatly simplifies the mental model
2021-07-26 06:17:42 <euouae> When you speak of networks, I don't even know why they're mentioned ( I've never done distributed computing before)
2021-07-26 06:18:00 <euouae> I don't know what OpenMPI does, but I'm assuming it utilizes the network to distribute work
2021-07-26 06:18:10 <Axman6> Facebook's thrift stuff would certainly get you a long way towards to building large concurrent systems, since that's exactly what they're using it for in their spam filtering
2021-07-26 06:19:02 × Lord_of_Life quits (~Lord@user/lord-of-life/x-2819915) (Ping timeout: 252 seconds)
2021-07-26 06:19:03 → chris_ joins (~chris@81.96.113.213)
2021-07-26 06:19:14 <euouae> Again, not sure why that is mentioned. I'm trying to do some computations (Such as computing factorials say)
2021-07-26 06:19:27 → Lord_of_Life joins (~Lord@user/lord-of-life/x-2819915)
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