What does HackerNews think of HIPIFY?

HIPIFY: Convert CUDA to Portable C++ Code

Language: C++

All GB/s without FLOPS – Nvidia CMP 170HX Review | Oct 2023
Expand Context ↕
This is what they are referring to: https://github.com/ROCm-Developer-Tools/HIPIFY
AMD Hip SDK: Making CUDA Applications Run Across Consumer, Pro GPUs and APUs | Aug 2023
Expand Context ↕
Right. I can't speak to its correctness/completeness as I've only done a quick installation and smoke test of the ROCm/HIP/MIOpen stack, but there's even a tool that automates the translation [1].

[1] https://github.com/ROCm-Developer-Tools/HIPIFY
How Nvidia’s CUDA Monopoly in Machine Learning Is Breaking | Jan 2023
Expand Context ↕
From https://news.ycombinator.com/item?id=32904285 re: AMD ROcm, HIPIFY, :

> AMD ROcm supports Pytorch, TensorFlow, MlOpen, rocBLAS on NVIDIA and AMD GPUs: https://rocmdocs.amd.com/en/latest/Deep_learning/Deep-learni... [...]

> ROCm-Developer-Tools/HIPIFY https://github.com/ROCm-Developer-Tools/HIPIFY :

>> hipify-clang is a clang-based tool for translating CUDA sources into HIP sources. It translates CUDA source into an abstract syntax tree, which is traversed by transformation matchers. After applying all the matchers, the output HIP source is produced. [...]

From https://github.com/RadeonOpenCompute/clang-ocl :

> RadeonOpenCompute/OpenCL compilation with clang compiler