Godot VS Bullet

Here's an example file tree from a part of the Godot game engine source code.

Godot [1] is a very nice game engine. There's a game on Itch.io that teaches the scripting language it uses [2], and a ton of great tutorials on YouTube for beginners and experts alike.

[1]: https://godotengine.org/

The Bitcoin and Mastadon links don't seem to be working! (wiki not found)

Would love to see this for Godot (https://github.com/godotengine/godot). Maybe Maplibre too (https://github.com/maplibre/maplibre-native)!

Godot Engine is a free and open-source game engine. The story started as an in-house engine of an Argentinian studio in 2007, and since 2014, it's been a community-driven project with a lot of contributors.

I think this is the PR.

Thrive is starting. Log output (due to buffering this is likely not in real time): Godot Engine v3.5.stable.mono.thrive.d2ad79a40 - https://godotengine.org OpenGL ES 3.0 Renderer: GeForce GT 710/PCIe/SSE2 Async. shader compilation: OFF

Same thing happened to me multiple times, it's been a known bug for a long while, sadly: https://github.com/godotengine/godot/issues/76380

For typical game physics engines... not that much. Math libraries like Eigen or Blaze use lots of template metaprogramming techniques under the hood that can help when you're doing large batched matrix multiplications (since it can remove temporary allocations at compile-time and can also fuse operations efficiently, as well as applying various SIMD optimizations), but it doesn't really help when you need lots of small operations (with mat3 / mat4 / vec3 / quat / etc.). Typical game physics engines tend to use iterative algorithms for their solvers (Gauss-Seidel, PBD, etc...) instead of batched "matrix"-oriented ones, so you'll get less benefits out of Eigen / Blaze compared to what you typically see in deep learning / scientific computing workloads.

The codebases I've seen in many game physics engines seem to all roll their own math libraries for these stuff, or even just use SIMD (SSE / AVX) intrinsics directly. Examples: PhysX (https://github.com/NVIDIA-Omniverse/PhysX), Box2D (https://github.com/erincatto/box2d), Bullet (https://github.com/bulletphysics/bullet3)...

I suspect most C++ physics libraries like Box2D (https://github.com/erincatto/box2d) or Bullet3 (https://github.com/bulletphysics/bullet3) could really benefit a lot from SIMD.

No, they replaced Bullet with Jolt. That is considerably more than "some adjustment", regardless of what you think of the result.

Vulkan graphics via Intel GVK, and physics via Bullet

The first two have a bunch of great examples, and I’m tying them together by refactoring some of the THREE examples to fit the ECS paradigm defined in AFrame. then upping the ante by adding physics using AMMO, which is more challenging since it’s only a partial implementation of Bullet, and already poorly documented (yet popular) physics engine.

Plus, SM uses a system called bullet physics, I imagine this would be rather complex to rework into a modern engine such as Unreal or Unity (after all, the majority of performance issues come from the physics engine rather than the graphics engine)

The physics in HDT-SMP are actually being calculated outside of Skyrim's engine with Bullet, an open-source physics engine. So this isn't some limitation of Skyrim's engine.