KernelAbstractions.jl
FoldsCUDA.jl
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| KernelAbstractions.jl | FoldsCUDA.jl | |
|---|---|---|
| 4 | 1 | |
| 331 | 54 | |
| 3.0% | - | |
| 8.0 | 0.0 | |
| 12 days ago | 11 months ago | |
| Julia | Julia | |
| MIT License | MIT License |
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KernelAbstractions.jl
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Why is AMD leaving ML to nVidia?
For myself, I use Julia to write my own software (that is run on AMD supercomputer) on Fedora system, using 6800XT. For my experience, everything worked nicely. To install you need to install rocm-opencl package with dnf, AMD Julia package (AMDGPU.jl), add yourself to video group and you are good to go. Also, Julia's KernelAbstractions.jl is a good to have, when writing portable code.
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Generic GPU Kernels
>Higher level abstractions
like these?
https://github.com/JuliaGPU/KernelAbstractions.jl
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Cuda.jl v3.3: union types, debug info, graph APIs
For kernel programming, https://github.com/JuliaGPU/KernelAbstractions.jl (shortened to KA) is what the JuliaGPU team has been developing as a unified programming interface for GPUs of any flavor. It's not significantly different from the (basically identical) interfaces exposed by CUDA.jl and AMDGPU.jl, so it's easy to transition to. I think the event system in KA is also far superior to CUDA's native synchronization system, since it allows one to easily express graphs of dependencies between kernels and data transfers.
FoldsCUDA.jl
What are some alternatives?
GPUCompiler.jl - Reusable compiler infrastructure for Julia GPU backends.
FLoops.jl - Fast sequential, threaded, and distributed for-loops for Julia—fold for humans™
ROCm - AMD ROCm™ Software - GitHub Home [Moved to: https://github.com/ROCm/ROCm]
Tullio.jl - ⅀
AMDGPU.jl - AMD GPU (ROCm) programming in Julia
CUDA.jl - CUDA programming in Julia.
StaticCompiler.jl - Compiles Julia code to a standalone library (experimental)
futhark - :boom::computer::boom: A data-parallel functional programming language
oneAPI.jl - Julia support for the oneAPI programming toolkit.
Transducers.jl - Efficient transducers for Julia
Agents.jl - Agent-based modeling framework in Julia
Halide - a language for fast, portable data-parallel computation