learn-wgpu VS flamegraph

Nice.

Speaking of Snake game, if you want to go even deeper, you can try to use the wgpu crate to combine Rust and WebGPU to write everything from scratch. Here is the tutorial:

https://sotrh.github.io/learn-wgpu/#what-is-wgpu

I once wrote a code editor with wgpu, from font rendering to char/line state management (very rough) for music live coding:

https://github.com/glicol/glicol-wgpu

It runs in browsers, even including Safari!

https://sotrh.github.io/learn-wgpu/ This is probably the best resource out there for learning wgpu specifically. If you're unfamiliar with graphics, the learnopengl one is good. If you've got experience though, jumping right into that one is a shout or looking at some vulkan ones as they're pretty similar in terms of architecture.

- https://sotrh.github.io/learn-wgpu

Most of The WGPU I learnt is from https://sotrh.github.io/learn-wgpu/ but it doesn't really talk about designing n stuff, I thought of checking out the source code for Bevy or even games like veloren. But well, their codebases are pretty big to get started in the first place.

So I was wondering if opting for option 1 would be better to begin with. OpenGL has a much bigger community and wgpu only has its documentation which I hear is not quite up there yet. There is this excellent tutorial for wgpu that I read through, but it seems like wgpu can be a lot more complicated than starting with OpenGL.

I started with wgpu tutorial (https://sotrh.github.io/learn-wgpu/) since I like the idea of portability and it's a Rust-first library, but it seems I'm missing some foundations of how CG works in general: the code is given, a little of explanation like it assumes I already know something, maybe I'm wrong, but I wish there was a longer explicit version.

If you haven't seen it: https://sotrh.github.io/learn-wgpu/ is a good introduction that will explain most of what you asked, then can refer to rend3d or bevys renderer to see how a render graph works.

You can install cargo-flamegraph with cargo install flamegraph. There are some underlying requirements to be able to use cargo-flamegraph; you will want to take a look at the repo here to make sure you have the right dependencies.

I tried to diagnose the issue with flamegraph, but unfortunately the flamegraph didn't show anything beyond the next call for some reason

having some tools to identify slowness origins (flamegraph is one... but not sure it's the way to go)

I'm currently implementing a solution for the first part of the day 16. It work but it is really slow... I'd like to : - understand why - having some tools to identify slowness origins (flamegraph is one... but not sure it's the way to go) - eventually have some clue/solution/idea - have general feedback on what in my "coding style" is not appropriate for rust (I come from java/kotlin/ts even if I've already coded a bit in c/c++) : for example I love iterator & sequence but i feel they are not really suited to overuse in rust (mostly because of async & result).

Use a profiler. Flamegraph is a good way to visualise profiler output. This lets you identify which functions are taking up a large amount of time - and hence helps you identify where to focus your optimisation efforts.

You tried trying to see what takes the most time under load via flames? https://github.com/flamegraph-rs/flamegraph

Well, in cases like that the answer is straight forward, use a profiler like https://github.com/flamegraph-rs/flamegraph

I don't see any obvious problems with your algorithm. I've had luck using cargo-flamegraph to identify the slow parts of my code. That's going to show you which parts to focus on improving the performance of!

From the readme of cargo flamegraph: