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nv-legate/cupynumeric

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End of life; no longer maintained. Final public release: v26.06.01.

11 mentions on Hacker News by 4 people: 1 story, 10 comments · first 2021-04-13 · latest 2024-09-20

Mentions per year 11 mentions · busiest year 2021 (5)
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  1. If you like cupy, definitely checkout the Multinode Multi-gpu version, cuNumeric: https://github.com/nv-legate/cunumeric Would love to get any feedback from the community.
    comment by aterrel-nvidia · 2024-09-20 · in CuPy: NumPy and SciPy for GPU
  2. …like what I work on [1][2][3]. [1]: https://legion.stanford.edu/ [2]: https://regent-lang.org/ [3]: https://github.com/nv-legate/cunumeric
    comment by eslaught · 2023-10-20 · in Progress on No-GIL CPython
  3. …been used to develop distributed, drop-in replacements for libraries like NumPy and SciPy Sparse -- https://github.com/nv-legate/cunumeric/ , https://github.com/nv-legate/legate.sparse
    comment by rohany · 2023-10-09 · in Chapel 1.32
  4. …line (the import statement), run automatically on clusters of GPUs. It is 100% pure awesomeness. https://github.com/nv-legate/cunumeric (I don't work on cuNumeric, but I do work on the runtime framework that cuNumeric uses.)
    comment by eslaught · 2023-02-20 · in Is parallel programming hard, and, if so, what can you do about it? [pdf]
  5. …wrapper for distributed GPU acceleration. Would be interesting to see if it works for this. [1]: https://github.com/nv-legate/cunumeric
    comment by eslaught · 2023-02-09 · in A GPT in 60 Lines of NumPy
  6. …for performance, but it would be fun to run this in cuNumeric [1] and see how it scales. [1]: https://github.com/nv-legate/cunumeric
    comment by eslaught · 2023-02-09 · in A GPT in 60 Lines of NumPy
  7. …or so). Also avoids needing to manually specify chunk sizes, like it says in a sibling comment. https://github.com/nv-legate/cunumeric
    comment by eslaught · 2021-11-18 · in Dask – A flexible library for parallel computing in Python
  8. …to be a drop in numpy replacement that will use all your CPU cores without any tweaks on your part. https://github.com/nv-legate/legate.numpy
    comment by N1H1L · 2021-04-20 · in Test for lists in Cython
  9. …you can see for yourself their performance results; they're not far off from hand-tuned MPI. [1]: https://github.com/nv-legate/legate.numpy Disclaimer: I work on the library Legate uses for distributed computing, but otherwise have no…
    comment by eslaught · 2021-04-16 · in Unifying the CUDA Python Ecosystem
  10. …might be up your alley since it works at a higher level than the glorified CUDA in the article. https://github.com/nv-legate/legate.numpy Disclaimer: I work on the project they used to do the distributed execution, but otherwise have no…
    comment by eslaught · 2021-04-16 · in Unifying the CUDA Python Ecosystem