Vulkan.jl
www.julialang.org
Vulkan.jl | www.julialang.org | |
---|---|---|
2 | 2 | |
106 | 349 | |
0.0% | 1.4% | |
8.0 | 9.1 | |
4 months ago | 4 days ago | |
Julia | Julia | |
GNU General Public License v3.0 or later | GNU General Public License v3.0 or later |
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.
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
www.julialang.org
-
GPU vendor-agnostic fluid dynamics solver in Julia
The release was just cut 9 hours ago, as shown on the releases part of the Github page (https://github.com/JuliaLang/julia/releases/tag/v1.9.0). That then starts the jobs for the creation and deployment of the final binaries, and when that's done the Julialang.org website gets updated to state it's the release, and when that's done the blog post for the new release goes out. You can even follow the last step of the process here (https://github.com/JuliaLang/www.julialang.org/pull/1875), since it all occurs on the open source organization.
- We Use Julia, 10 Years Later
What are some alternatives?
oneAPI.jl - Julia support for the oneAPI programming toolkit.
StaticTools.jl - Enabling StaticCompiler.jl-based compilation of (some) Julia code to standalone native binaries by avoiding GC allocations and llvmcall-ing all the things!
AMDGPU.jl - AMD GPU (ROCm) programming in Julia
ProtoStructs.jl - Easy prototyping of structs
GPUCompiler.jl - Reusable compiler infrastructure for Julia GPU backends.
julia-ml-from-scratch - Machine learning from scratch in Julia
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
LispSyntax.jl - lisp-like syntax in julia
KernelAbstractions.jl - Heterogeneous programming in Julia