bespokeasm VS PeachPy

Cool. If you want to upgrade from your excel/python assembler, you should be able to create a custom ISA with my assembler, BespokeASM: https://github.com/michaelkamprath/bespokeasm

Of course, I did what I do and I added support for this computer in my BespokeASM customizable assembler. This allowed me to write some larger projects than slu4's "minimal assembler" easily enabled. And with that, I ported my 32-bit primes calculation code to the slu4 Minimal CPU. What I found fascinating is that this code ran about the same speed (the PUTEY-1 is a small bit slower) in terms of how long it takes to find a prime value as the code runs on my PUTEY-1 breadboard TTL running at about one fourth the clock speed (480 KHz vs 1.8432 MHz). I attribute that to the more sophisticated ALU I built in my TTL CPU that does bit shifting (left and right) and value comparisons directly in hardware. Of course, I understand that the Minimal CPU's whole goal is to be minimal, I just still found this comparison interesting.

I took have worked on and developed a compiler that is actually read to encode stack operation including indirect value referencing with an address offset to get the mov a, [sp+2] type instructions. You can check it out here: BespokeASM. I have some more development to do with this assembler, notably around macros, includes, and other assembler directives, but the basics for the various addressing modes are in there and the ability to define your instruction set through configuration.

This is a nice exercise!

There is also a very different “write SIMD assembly in Python” approach available through the PeachPy library, one of the least known gems between Python and HPC worlds: https://github.com/Maratyszcza/PeachPy

This is what a dot-product would look like in PeachPy: https://unum-cloud.github.io/usearch/python/index.html#id4

PS: Cppyy and Numba are also fun to use in such projects :)

It's not super maintained but you might enjoy building something with ppci, Pure Python Compiler Infrastructure. It has some front-ends and some back-ends. There's also PeachPy for an assembler. People like using Lark for parsing, I hear.

pip install --upgrade git+https://github.com/Maratyszcza/PeachPy