The Array Cast

What Affects Array Language Performance?

Mar 18, 2023

01:25:17

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Highlights

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Episode notes

MLIRs and GPU Expertise in Machine Learning Frameworks

02:02

Array Programming With APL Is a Big Learning

02:11

Is APL a Good API for GPU Performance?

01:45

Introduction

2min

APL Problem Solving Competition 2023 Now Live!

4min

The J.Wickie Continues to Be Emergent

2min

Is It the YouTube Video That My YouTube Subscribers Want?

2min

Q and KDB Plus Execute Executable

2min

KX and a Shakti - What's the Policy?

2min

Can You Just Run Code in Q?

2min

Profiling Is a Tough Thing

2min

APL Benchmarking

2min

10.

APL - What Is Your Benchmark Measure?

2min

11.

Is Performance Important in BQN?

3min

12.

Windows and BQN

2min

13.

Is Haskell a Better Array Language?

2min

14.

Is There Hope for Jay?

2min

15.

Performance Isn't a Concern in the Domain Where APL Is Dominant

2min

16.

The Performance Optimizations of the Array Primitive

2min

17.

Is It Possible to Evaluate Languages Based on Performance?

2min

18.

Is Performance a Function of Apl and the Array Languages?

3min

19.

The Performance of Apl in the Early Days

3min

20.

MLIRs and GPU Expertise in Machine Learning Frameworks

2min

21.

Is APL a General Purpose Programming Language?

2min

22.

Perf Is a Necessary Paradigm for Machine Learning and Deep Learning

2min

23.

Python

2min

24.

Is There a Difference Between Python and Futhark?

2min

25.

Is APL a Good API for GPU Performance?

2min

26.

Code Defense Is Not as Fast as It Used to Be

2min

27.

Code Defense Is Still Trying to Support GPUs

2min

28.

APL 360 Is a Boost on the GPU CPU

4min

29.

Bringing APL to a Bigger Audience?

2min

30.

Is APL the Best Machine Learning Language?

2min

31.

The Learning Curve

2min

32.

Array Programming With APL Is a Big Learning

2min

33.

The Advantages of High Performance Programming

3min

34.

C++ Developers Aren't Using the Standard Library

3min

35.

BQN Performance Benchmarks

5min

36.

Using a Bench Array to Get a Fast CPU Is a Good Idea

2min

37.

How to Actually Run Your Expression Timings in APL

2min

38.

The Notation Podcast Episode 2 Episode 3 Episode 4 Episode 5 - What's Up With That?

2min

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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The Array Cast

What Affects Array Language Performance?

MLIRs and GPU Expertise in Machine Learning Frameworks

Array Programming With APL Is a Big Learning

Is APL a Good API for GPU Performance?

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Save anymoment

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