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| ride | array | |
|---|---|---|
| 5 | 4 | |
| 195 | 188 | |
| 3.1% | - | |
| 9.2 | 6.9 | |
| 7 days ago | 4 months ago | |
| JavaScript | C++ | |
| MIT License | Apache License 2.0 |
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ride
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Franz Inc. has moved the whole Allegro CL IDE to a browser-based user interface. Incl. all their Lisp development tools. One can check that out with their Allegro CL Express Edition.
Not a bad idea for current times. Dyalog APL, the only active APL compiler developer, did similar a couple of years ago with RIDE
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Having trouble installing bqn into arch
The Linux IDE for Dyalog is Ride, packaged separately and available from Dyalog's github: https://github.com/Dyalog/ride
- -🎄- 2021 Day 6 Solutions -🎄-
- Try APL
- From Competitive Programming to APL and Array Programming
array
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Benchmarking 20 programming languages on N-queens and matrix multiplication
I should have mentioned somewhere, I disabled threading for OpenBLAS, so it is comparing one thread to one thread. Parallelism would be easy to add, but I tend to want the thread parallelism outside code like this anyways.
As for the inner loop not being well optimized... the disassembly looks like the same basic thing as OpenBLAS. There's disassembly in the comments of that file to show what code it generates, I'd love to know what you think is lacking! The only difference between the one I linked and this is prefetching and outer loop ordering: https://github.com/dsharlet/array/blob/master/examples/linea...
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A basic introduction to NumPy's einsum
If you are looking for something like this in C++, here's my attempt at implementing it: https://github.com/dsharlet/array#einstein-reductions
It doesn't do any automatic optimization of the loops like some of the projects linked in this thread, but, it provides all the tools needed for humans to express the code in a way that a good compiler can turn it into really good code.
What are some alternatives?
APL - another APL derivative
optimizing-the-memory-layout-of-std-tuple - Optimizing the memory layout of std::tuple
array - Simple array language written in kotlin
NumPy - The fundamental package for scientific computing with Python.
APL.jl
cadabra2 - A field-theory motivated approach to computer algebra.
ngn-apl - An APL interpreter written in JavaScript. Runs in a browser or NodeJS.
alphafold2 - To eventually become an unofficial Pytorch implementation / replication of Alphafold2, as details of the architecture get released
json - A tiny JSON parser and emitter for Perl 6 on Rakudo
Einsum.jl - Einstein summation notation in Julia
fish-shell - The user-friendly command line shell.
c-examples - Example C code