5 ms·
Over the years I've collected various links on topics related to Haskell performance. I'll spare you the whole list, but here are a few that may be of some use
by rotifer 7y ago
Over the years I've collected various links on topics related to Haskell performance. I'll spare you the whole list, but here are a few that may be of some use.
Haskell Performance Patters - Johan Tibell (2012)
http://johantibell.com/files/haskell-performance-patterns.html#(1) http://johantibell.com/files/haskell-performance-patterns.ht...
Performance (Haskell Wiki)
https://wiki.haskell.org/Performance https://wiki.haskell.org/Performance
Detecting Space Leaks - Neil Mitchell (2015)
http://neilmitchell.blogspot.com/2015/09/detecting-space-leaks.html http://neilmitchell.blogspot.com/2015/09/detecting-space-lea...
The Haskell performance checklist - Chris Done, et. al. (2017 - 2019)
https://github.com/haskell-perf/checklist/blob/master/README.md https://github.com/haskell-perf/checklist/blob/master/README...
ThreadScope (Haskell Wiki)
https://wiki.haskell.org/ThreadScope https://wiki.haskell.org/ThreadScope
Top tips and tools for optimising Haskell - Will Sewell (2015)
https://making.pusher.com/top-tips-and-tools-for-optimising-haskell/ https://making.pusher.com/top-tips-and-tools-for-optimising-...
- srik 7y agoI’m in a Haskell learning phase and honestly can’t get enough recommended study pointers. Share as many as you feel comfortable sharing, there’s always some like me who’d benefit from the curation.
- Eugeleo 7y agoNot the OC and (mostly) not related to Haskell performance, but the following could be useful to you: State of Haskell Ecosystem: https://github.com/Gabriel439/post-rfc/blob/master/sotu.md#compilers https://github.com/Gabriel439/post-rfc/blob/master/sotu.md#c... Guide to Haskell (2018): https://lexi-lambda.github.io/blog/2018/02/10/an-opinionated-guide-to-haskell-in-2018/ https://lexi-lambda.github.io/blog/2018/02/10/an-opinionated... Haskell learner milestones: https://stackoverflow.com/a/1016986 https://stackoverflow.com/a/1016986 GHC optimizations (rather advanced, but interesting): https://stackoverflow.com/questions/12653787/what-optimizations-can-ghc-be-expected-to-perform-reliably https://stackoverflow.com/questions/12653787/what-optimizati... Compilation of various Haskell tutorials on more advanced topics: https://markkarpov.com/learn-haskell.html https://markkarpov.com/learn-haskell.html Despite the popular saying, there’s a wealth of knowledge about Haskell beyond just academic papers, and in digestable form, but it’s scattered around little-known blogs. I’d recommend you to check out r/haskell from time to time, or subscribe to the Haskell newsletter - at least for me, those are the places where I got to know most of Haskell blogs.