[enriquto]

Just use C or C++ or fortran or julia or even lua.

The issue of "slow loops" is entirely self-inflicted by some languages. It's getting ridiculous to still worry about this shit in 2022.

Simple loops can and should be just as fast as vectorized programs. When they are slower, it is 100% due to deliberate decisions by the language dessigners

[thrownawayalre]

But BLAS is much more than 3 loops for matrix-matrix multiplication.

https://stackoverflow.com/questions/1303182/how-does-blas-ge...

Why turn your back on all the carefully crafted optimizations?

[enriquto]

BLAS is great and must be used whenever possible. That was not my point.

I don't want to turn my back on the beautiful loop notation. For some algorithms, the loop notation is clearer than any "vectorized" version. It is absurd that the language penalizes you for that. Loops are alright.

[kzrdude]

I agree. At least some faster-cpython work is going on, does anyone know if there are aggregate updates on that, like performance progress reports?

[upbeat_general]

This is 100% not the case with SIMD.

[dsharlet]

Compilers can be pretty good if you help them out a bit. Here's my implementation of Einstein reductions (including summations) in C++, which generate pretty close to ideal code until you start getting into processor architecture specific optimizations: https://github.com/dsharlet/array#einstein-reductions

[TheRealKing]

or Rust