Vulkan.jl
julia-logo-graphics
| Vulkan.jl | julia-logo-graphics | |
|---|---|---|
| 2 | 1 | |
| 106 | 108 | |
| 0.0% | 0.0% | |
| 8.0 | 1.0 | |
| 4 months ago | 8 days ago | |
| Julia | Julia | |
| GNU General Public License v3.0 or later | GNU General Public License v3.0 or later |
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Vulkan.jl
-
GPU vendor-agnostic fluid dynamics solver in Julia
You may be confusing front end APIs and the compiler backends.
Julia is flexible enough that you can essentially define domain specific languages within Julia for certain applications. In this case, we are using Julia as an abstract front end and then deferring the concrete interface to vendor specific GPU compilation drivers. Part of what permits this is that Julia is a LLVM front end and many of the vendor drivers include LLVM-based backends. With some transformation of the Julia abstract syntax tree and the LLVM IR we can connect the two.
That said we are mostly dependent on vendors providing the backend compiler technology. When they do, we can bridge Julia to use that interface. We can wrap Vulkan and technologies like oneAPI.
https://github.com/JuliaGPU/Vulkan.jl
- Cuda.jl v3.3: union types, debug info, graph APIs
julia-logo-graphics
What are some alternatives?
oneAPI.jl - Julia support for the oneAPI programming toolkit.
Makie.jl - Interactive data visualizations and plotting in Julia
AMDGPU.jl - AMD GPU (ROCm) programming in Julia
GPUCompiler.jl - Reusable compiler infrastructure for Julia GPU backends.
StaticCompiler.jl - Compiles Julia code to a standalone library (experimental)
ncnn - ncnn is a high-performance neural network inference framework optimized for the mobile platform
www.julialang.org - Julia Project website
KernelAbstractions.jl - Heterogeneous programming in Julia
TensorFlow.jl - A Julia wrapper for TensorFlow
LispSyntax.jl - lisp-like syntax in julia
ROCm - AMD ROCm™ Software - GitHub Home [Moved to: https://github.com/ROCm/ROCm]