Our great sponsors
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
array
-
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...
-
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.
j-prez
-
Is APL Dead?
Does trying to build a Youtube channel around J count as professional?
I've been livestreaming a presentation tool / time-travelling REPL for J for a few months now:
https://github.com/tangentstorm/j-prez
It hasn't paid anything directly yet, but my videos probably helped me land my current job.
At work, I use another APL-inspired language called K.
What are some alternatives?
optimizing-the-memory-layout-of-std-tuple - Optimizing the memory layout of std::tuple
BQN - An APL-like programming language. Self-hosted!
NumPy - The fundamental package for scientific computing with Python.
array - Simple array language written in kotlin
cadabra2 - A field-theory motivated approach to computer algebra.
apltail - APL Compiler targeting a typed array intermediate language
alphafold2 - To eventually become an unofficial Pytorch implementation / replication of Alphafold2, as details of the architecture get released
jelm - Extreme Learning Machine in J
einops - Flexible and powerful tensor operations for readable and reliable code (for pytorch, jax, TF and others)
shapeRank
c-examples - Example C code
Einsum.jl - Einstein summation notation in Julia