If you have hot loops with millions of iterations at a time, structure your code accordingly. Its not anti-OO to choose the right data structure for the job.
Working set and algorithm diagonalization (work independence) FTW. Immutable data structures and copying often helps to avoid cache invalidation penalties.
I already know I'm dealing with huge perf issues caused by ORM & lazy-load semantics. I/O abuse is usually going to be so, so much worse than memory/cache issues. Java is mainly used for business information systems, where I/O is king. Plain vanilla memory abuse is also a big one.
But my main problem is a mgmt convinced the magic wand of AI will make all sorts of problems dissapear, and it's going to take 5 years for them to realize nope.
It's still fun to learn about cache optimization though, esp. when someone makes it reasonably digestible like this. And maybe it also helps people to recognize that OOP is not some great over-arching zen truth of truths.
A sibling comment also mentioned Jai. Not sure what I am missing that the original post was explicitly referring to Jai, some inside joke maybe?
I am sorry, I only know Odin. Jai is this cult on reddit/discord, right? You get access if you socialize enough or something? Not my thing. Not for a language.
I was just throwing out an idea. I had no idea there were already implementations! Because, to my knowledge, conventional popular languages like C/C++/C#/Java/JS/Python don't do that, and automatically doing that (under certain conditions) feels like an easy performance win.
For what it’s worth, a common example of the capabilities of c++26 reflection is exactly this use case. I can’t remember where I first saw it, but this article [0] showcases the technique pretty well. It’s opt-in so not the compiler optimization that you’re imagining but still neat that it’s possible
Ah. So, the context (Which I read too far into evidently): 1: One of Jai's initial primary marketing points was to address exactly this: SoA performance with AoS ergonomics. 2: Odin is (or was initially) inspired by Jai.