DMARCParser.jl
KernelAbstractions.jl
| DMARCParser.jl | KernelAbstractions.jl | |
|---|---|---|
| 1 | 4 | |
| 3 | 336 | |
| - | 3.0% | |
| 5.1 | 7.9 | |
| 7 months ago | 6 days ago | |
| Julia | Julia | |
| MIT License | MIT License |
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DMARCParser.jl
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parsedmarc VS DMARCParser.jl - a user suggested alternative
2 projects | 1 Oct 2023
DMARC Parser written in Julia
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.
What are some alternatives?
CoherentNoise.jl - A comprehensive suite of coherent noise algorithms and composable tools for manipulating them.
GPUCompiler.jl - Reusable compiler infrastructure for Julia GPU backends.
Mousetrap.jl - Finally, a GUI Engine made for Julia
ROCm - AMD ROCmâ„¢ Software - GitHub Home [Moved to: https://github.com/ROCm/ROCm]
dmarc-srg - A php parser, viewer and summary report generator for incoming DMARC reports.
AMDGPU.jl - AMD GPU (ROCm) programming in Julia
PropCheck.jl - A package for simple property based testing in julia.
StaticCompiler.jl - Compiles Julia code to a standalone library (experimental)
parsedmarc - A Python package and CLI for parsing aggregate and forensic DMARC reports
oneAPI.jl - Julia support for the oneAPI programming toolkit.
Agents.jl - Agent-based modeling framework in Julia
FoldsCUDA.jl - Data-parallelism on CUDA using Transducers.jl and for loops (FLoops.jl)