ArrayFire
mach-examples
| ArrayFire | mach-examples | |
|---|---|---|
| 6 | 5 | |
| 4,413 | 89 | |
| 0.7% | - | |
| 7.1 | 9.2 | |
| 30 days ago | about 2 months ago | |
| C++ | Zig | |
| BSD 3-clause "New" or "Revised" License | GNU General Public License v3.0 or later |
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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
mach-examples
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Learn WebGPU
Zig fits pretty naturally here too. We've got ~19 WebGPU examples[1] which use Dawn natively (no browser support yet), and we build it using Zig's build system so it 'just works' out of the box with zero fuss as long as you grab a recent Zig version[2]. No messing with cmake/ninja/depot_tools/etc.
WASM support in Zig, Rust, and C++ is also not equal. C++ prefers Emscripten which reimplements parts of popular libraries like SDL, for me personally that feels a bit weird as I don't want my compiler implementing my libraries / changing how they behave. Rust I believe generally avoids emscripten(?), but Zig for sure lets me target WASM natively and compile C/C++ code to it using the LLVM backend and soon the custom Zig compiler backend.
[1] https://github.com/hexops/mach-examples
[2] https://github.com/hexops/mach#supported-zig-version
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Mach (Zig) Adventures - Part 1
git clone --recursive https://github.com/hexops/mach-examples cd mach-examples/ zig build run-sprite2d
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Just found out about Zig and wonder what would be the best graphics library to pair with it?
Mach core (pretty much ready for use today): a modern alternative to e.g. SDL+OpenGL which gives you just a Window+Input+GPU. We have ~16 examples including texturing, PBR, deferred rendering, etc.
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Learning Modern 3D Graphics Programming
links to the github examples are all busted: https://github.com/hexops/mach-examples/tree/main/cubemap
- mach-examples: 15+ standalone Mach core examples (WebGPU, sysaudio, etc.)
What are some alternatives?
Thrust - [ARCHIVED] The C++ parallel algorithms library. See https://github.com/NVIDIA/cccl
webassembly-canvas - Draw canvas using WASM
Boost.Compute - A C++ GPU Computing Library for OpenCL
mach - zig game engine & graphics toolkit
VexCL - VexCL is a C++ vector expression template library for OpenCL/CUDA/OpenMP
LearnOpenGL - Code repository of all OpenGL chapters from the book and its accompanying website https://learnopengl.com
Pytorch - Tensors and Dynamic neural networks in Python with strong GPU acceleration
score - ossia score, an interactive sequencer for the intermedia arts
CUB - THIS REPOSITORY HAS MOVED TO github.com/nvidia/cub, WHICH IS AUTOMATICALLY MIRRORED HERE.
zig - General-purpose programming language and toolchain for maintaining robust, optimal, and reusable software.
Taskflow - A General-purpose Parallel and Heterogeneous Task Programming System
angle - A conformant OpenGL ES implementation for Windows, Mac, Linux, iOS and Android.