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https://news.ycombinator.com/item?id=18040664
Today, conda-forge compiles CPython to relocatable platform+architecture-specific binaries with LLVM. https://github.com/conda-forge/python-feedstock/blob/master/...
Pyodide (JupyterLite) compiles CPython to WASM (or LLVM IR?) with LLVM/emscripten IIRC. Hopefully there's a clear way to implement the new GIL-less multithreading support with Web Workers in WASM, too?
The https://rapids.ai/ org has a bunch a fast Python for HPC; with Dask and pick a scheduler. Less process overhead and less need for interprocess locking of memory handles that transgress contexts due to a new GIL removal approach would be even faster than debuggable one process per core Python.
https://news.ycombinator.com/item?id=18040664
Today, conda-forge compiles CPython to relocatable platform+architecture-specific binaries with LLVM. https://github.com/conda-forge/python-feedstock/blob/master/...
Pyodide (JupyterLite) compiles CPython to WASM (or LLVM IR?) with LLVM/emscripten IIRC. Hopefully there's a clear way to implement the new GIL-less multithreading support with Web Workers in WASM, too?
The https://rapids.ai/ org has a bunch a fast Python for HPC; with Dask and pick a scheduler. Less process overhead and less need for interprocess locking of memory handles that transgress contexts due to a new GIL removal approach would be even faster than debuggable one process per core Python.
Is it actually a corporate initiative? The project is hosted on Sam's personal GitHub[1].
[1]: https://github.com/colesbury/nogil
PyTorch seems to obfuscate its Facebook ownership in general. At least I could find no mention of it on their "About" page or in the documentation, where the only mention of "Facebook" is a link in the footer to the PyTorch project's own social media page: https://pytorch.org/features/
At least the "Brand Guidelines" PDF makes it clear that “PyTorch, the PyTorch logo and any related marks are trademarks of Facebook, Inc.”: https://pytorch.org/assets/brand-guidelines/PyTorch-Brand-Gu...
Also a small hint in `CONTRIBUTING.md`: https://github.com/pytorch/pytorch/blob/master/CONTRIBUTING....