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Array Programming With APL Is a Big Learning
You don't have to learn a lot of specifics in order to get good performance with APL. The language implementers are the ones who have to learn all this fancy stuff about branchless programming and SIMD, caches and all that stuff. If they've done a good job you as the array programmer can get you know world-class performance without knowing much about the machine or I mean really anything.
Array Cast - March 17, 2023
Show Notes
Thanks to Bob Therriault, Richard Park, Conor Hoekstra and Adám Brudzewsky for gathering these links:
[01] 00:01:55 APL problem solving competition https://contest.dyalog.com/
Kattis online competition https://open.kattis.com/
APL Seeds '23 https://www.dyalog.com/apl-seeds-user-meetings/aplseeds23.htm
Linux Format Magazine https://linuxformat.com/linux-format-300.html
The APL Show - Reaction to "Change the Way You Think" https://apl.show/2023/03/09/Reaction-to-Change-the-way-you-write-Change-the-way-you-think-part-1.html
The APL Campfire - Norman Thomson https://www.youtube.com/watch?v=jPujK-GvHGQ&list=PLYKQVqyrAEj91hZHbJiWOENHZP4JT8VFv
[02] 00:06:16 Ed Gottsman's Wiki Gui https://www.youtube.com/watch?v=j17E_KUgKxk
[03] 00:07:09 Why I Love BQN So Much https://www.youtube.com/watch?v=mRT-yK2RTdg
J software https://www.jsoftware.com/#/
Dyalog APL https://www.dyalog.com/
[04] 00:08:12 Adám's APL Quest https://www.youtube.com/@abrudz/playlists
[05] 00:09:50 q download https://kx.com/kdb-personal-edition-download/
[06] 00:13:10 Shakti https://shakti.com/
[07] 00:14:10 Emery Berger "Performance Really Matters" https://www.youtube.com/watch?v=7g1Acy5eGbE
[08] 00:17:14 Three consecutive odds ADSP 'scanductions' episode https://adspthepodcast.com/2023/03/03/Episode-119.html
[09] 00:19:40 Rich Park's "A Programming Language for Thinking About Algorithms" https://www.dyalog.com/uploads/files/presentations/ACCU20210520.pdf
[10] 00:21:00 Windows function in BQN https://mlochbaum.github.io/BQN/doc/windows.html
[11] 00:27:22 Fold in J https://code.jsoftware.com/wiki/Vocabulary/fcap
Scan https://aplwiki.com/wiki/Scan
Reduce https://aplwiki.com/wiki/Reduce
[12] 00:29:15 Apex Compiler https://gitlab.com/bernecky/apex
Co-dfns Compiler https://dl.acm.org/doi/10.1145/2627373.2627384
[13] 00:32:50 Arthur Whitney https://en.wikipedia.org/wiki/Arthur_Whitney_(computer_scientist)
[14] 00:37:03 Convolutional Neural Networks https://dl.acm.org/doi/pdf/10.1145/3315454.3329960
[15] 00:39:05 Tensorflow https://en.wikipedia.org/wiki/Tensorflow
PyTorch https://en.wikipedia.org/wiki/Pytorch
MLIR https://mlir.llvm.org/
[16] 00:44:20 Paul Graham "Beating the Averages" http://www.paulgraham.com/avg.html
Bob Bernecky "Good Algorithms Win Over Tin" https://code.jsoftware.com/wiki/Essays/GoodAlgorithmsWinOverTin
cudnn: https://developer.nvidia.com/cudnn
C++/Python Meme https://www.reddit.com/r/ProgrammerHumor/comments/m3pf9h/there_is_only_one_king/
[17] 00:49:00 Futhark Episode of ArrayCast https://www.arraycast.com/episodes/episode37-futhark
Single Assignment C https://www.sac-home.org/index
Dex https://github.com/google-research/dex-lang#dex-
[18] 01:06:40 BQN Compiler https://mlochbaum.github.io/BQN/implementation/bootbench.html
[19] 01:13:19 BQN Performance https://mlochbaum.github.io/BQN/implementation/perf.html
Bench Array https://mlochbaum.github.io/bencharray/pages/summary.html
[20] 01:16:12 Big Endian https://en.wikipedia.org/wiki/Endianness
[21] 01:21:45 Performance Timing
BQN _timed https://mlochbaum.github.io/BQN/spec/system.html#time
J 6!:2 https://code.jsoftware.com/wiki/Vocabulary/Foreigns#m6
APL cmpx http://dfns.dyalog.com/n_cmpx.htm
q \ts:n https://code.kx.com/q/basics/syscmds/#ts-time-and-space
[22] 01:23:15 ngn/k https://codeberg.org/ngn/k
[23] 01:23:52 Contact AT ArrayCast DOT Com
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