ArrayFire
sokol
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ArrayFire | sokol | |
---|---|---|
6 | 38 | |
4,404 | 5,921 | |
1.2% | - | |
7.8 | 9.7 | |
25 days ago | 8 days ago | |
C++ | C | |
BSD 3-clause "New" or "Revised" License | zlib License |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
ArrayFire
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Learn WebGPU
Loads of people have stated why easy GPU interfaces are difficult to create, but we solve many difficult things all the time.
Ultimately I think CPUs are just satisfactory for the vast vast majority of workloads. Servers rarely come with any GPUs to speak of. The ecosystem around GPUs is unattractive. CPUs have SIMD instructions that can help. There are so many reasons not to use GPUs. By the time anyone seriously considers using GPUs they're, in my imagination, typically seriously starved for performance, and looking to control as much of the execution details as possible. GPU programmers don't want an automagic solution.
So I think the demand for easy GPU interfaces is just very weak, and therefore no effort has taken off. The amount of work needed to make it as easy to use as CPUs is massive, and the only reason anyone would even attempt to take this on is to lock you in to expensive hardware (see CUDA).
For a practical suggestion, have you taken a look at https://arrayfire.com/ ? It can run on both CUDA and OpenCL, and it has C++, Rust and Python bindings.
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seeking C++ library for neural net inference, with cross platform GPU support
What about Arrayfire. https://github.com/arrayfire/arrayfire
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[D] Deep Learning Framework for C++.
Low-overhead — not our goal, but Flashlight is on par with or outperforming most other ML/DL frameworks with its ArrayFire reference tensor implementation, especially on nonstandard setups where framework overhead matters
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[D] Neural Networks using a generic GPU framework
Looking for frameworks with Julia + OpenCL I found array fire. It seems quite good, bonus points for rust bindings. I will keep looking for more, Julia completely fell off my radar.
- Windows 11 va bloquer les bidouilles qui facilitent l'emploi d'un navigateur alternatif à Edge
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Arrayfire progressive performance decline?
Your Problem may be the lazy evaluation, see this issue: https://github.com/arrayfire/arrayfire/issues/1709
sokol
- STB: Single-file public domain libraries for C/C++
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Container2wasm: Convert Containers to WASM Blobs
I'm using Dear ImGui for my cross-platform code (which includes running in browsers):
- https://floooh.github.io/visual6502remix/
- https://floooh.github.io/tiny8bit/c64-ui.html
- (start these samples by clicking on the little "UI" icon) https://floooh.github.io/sokol-html5/
Platform abstraction is handled through the sokol headers: https://github.com/floooh/sokol
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New Vulkan Documentation Website
I wonder if using your library (https://github.com/floooh/sokol) instead of OpenGL will alleviate some of these issues for newcomers! There's already a sokol port of the learnopengl.com code (https://github.com/GeertArien/learnopengl-examples), so it shouldn't be too hard to match between the tutorial articles and these.
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Meta Releases Intermediate Graphics Library
If you're looking for something like this, Sokol is a much simpler alternative:
https://github.com/floooh/sokol
It doesn't support vulkan though, but if that's important to you you're probably much better off just using vulkan directly since it's supported on all the major platforms.
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Why glibc 2.34 removed libpthread
All I can do is give you a couple of Github ticket links where users of my libraries stumbled over the issue (and with different symptoms):
- https://github.com/floooh/sokol/issues/376
- https://github.com/floooh/sokol/issues/404
- https://github.com/floooh/cimgui-sokol-starterkit/issues/6
We then added a dummy call to a no-op pthread function, so that users can better figure out that they need to use -pthread because now they get a linker error instead of a runtime crash or hang. This has since reduced the 'support overhead' quite a bit:
- https://github.com/floooh/sokol/pull/456
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File for Divorce from LLVM
My stuff for instance:
https://github.com/floooh/sokol
...inspired by:
https://github.com/nothings/stb
But it's not so much about the build system, but requiring a separate C/C++ compiler toolchain (Rust needs this, Zig currently does not - unless the proposal is implemented).
- Minimal cross-platform standalone C headers
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How can i play .wav file with C ?
I have never personally used it but I'm pretty sure sokol has an audio library that might be what you are after.
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Website with Godot?
And I asked floooh for similar thoughts on making a website with sokol here: https://github.com/floooh/sokol/issues/825
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I want to talk about WebGPU
It's not Rust and TS, instead C and JS, but Emscripten has a very nice way of integrating C/C++ and JS (you can just embed snippets of Javascript inside C/C++ source files), e.g. starting at this line, there's a couple of embedded Javascript functions which can be called like C functions directly from the "C side":
https://github.com/floooh/sokol/blob/4535a3b4be59eb912e77e04...
What are some alternatives?
Thrust - [ARCHIVED] The C++ parallel algorithms library. See https://github.com/NVIDIA/cccl
bgfx - Cross-platform, graphics API agnostic, "Bring Your Own Engine/Framework" style rendering library.
Boost.Compute - A C++ GPU Computing Library for OpenCL
raylib - A simple and easy-to-use library to enjoy videogames programming
VexCL - VexCL is a C++ vector expression template library for OpenCL/CUDA/OpenMP
tinyrenderer - A brief computer graphics / rendering course
Pytorch - Tensors and Dynamic neural networks in Python with strong GPU acceleration
LearnOpenGL - Code repository of all OpenGL chapters from the book and its accompanying website https://learnopengl.com
CUB - THIS REPOSITORY HAS MOVED TO github.com/nvidia/cub, WHICH IS AUTOMATICALLY MIRRORED HERE.
v - Simple, fast, safe, compiled language for developing maintainable software. Compiles itself in <1s with zero library dependencies. Supports automatic C => V translation. https://vlang.io
Taskflow - A General-purpose Parallel and Heterogeneous Task Programming System
nanovg - Antialiased 2D vector drawing library on top of OpenGL for UI and visualizations.