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abcd_f
> User-Extensible Rank Polymorphism

> IMO this is what makes something an array language.

Great to hear. So what is it?

cl3misch
I wondered the same. Similarly I wish the author had provided examples for statements like

> Numpy also needs to be paired with a JIT compiler to make python a real array language

teleforce
Dlang does not has rank polymorphism and it handle array just fine with crazy speed in both compilation and execution.

It can be faster than Fortran based library that is still being used by Matlab, Rust and Julia [1].

It will be interesting to compare Mojo moblas BLAS library with GLAS library performance in D.

[1] Numeric age for D: Mir GLAS is faster than OpenBLAS and Eigen (2016):

http://blog.mir.dlang.io/glas/benchmark/openblas/2016/09/23/...

pjmlp
Unfortunely, while the community is great, what it doesn't have is a direction, thus keeps pivoting every couple of years, and with that lost the adoption opportunity window it had a decade ago.
nromiun 

  ⊢×0≠∧˝˘∧⌜∧˝           # Marshall & Dzaima (tacit!)
  (≠⥊∧´)˘{×(⌾⍉∧)0≠} # Dzaima & Rampoina
  {×(∧˝˘∧≢⥊∧˝)0≠}     # Dzaima
Call me old fashioned and stuck in C style syntax but I can't imagine anyone describing this as beautiful art.
[deleted]
(comment deleted)
goldenCeasar
Funny, on another totally unrelated domain (business logic/rules engines) I was building something very very related - array broadcasting with semantic preservation through arbitrary nesting levels
hinkley
You explain the evolution of CPUs but then don’t explain Rank Polymorphism.
npalli
Strange to read this article and find no mention of Julia (but APL, Mojo, MLIR BQN etc.. which are not exactly widely used languages). It checks many of the boxes

User-Extensible Rank Polymorphism is just beautiful with the broadcast dot syntax. I don't think any other language has this clean and flexible implementation.

Others -- GPU programing, parallelism, etc. are pretty good with Julia. Real shame it hasn't taken off.