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NVIDIA/cudf

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cuDF - GPU DataFrame Library

15 mentions on Hacker News by 12 people: 2 stories, 13 comments · first 2019-02-18 · latest 2024-06-02

Mentions per year 15 mentions · busiest year 2019 (8)
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  1. ▲ 107
    cuDF – GPU DataFrame Library
    story by tosh · 2024-06-02 · 29 comments
  2. ▲ 1
    CuDF – GPU DataFrame Library
    story by tosh · 2024-06-01 · 0 comments
  3. …Read the original benchmark article Single-GPU CuPy Speedups on the RAPIDS AI Medium blog CuDF: https://github.com/rapidsai/cudf CuML: https://github.com/rapidsai/cuml : > cuML is a suite of libraries that implement machine learning…
    comment by westurner · 2023-04-03 · in Pandas 2.0
  4. You can probably use https://github.com/rapidsai/cudf/tree/main/python/dask_cudf a dask wrapper around cuDF.
  5. https://github.com/graphistry/pygraphistry + https://github.com/rapidsai/cudf if you're coming from the api / ds side, and GNNs side is more of a "let's chat!" thing for figuring out aligned collaborations (slack/email, all good!)
  6. …might be abandoned but this strategy is used in nvidia and nvidia adjacent projects (through llvm): https://github.com/rapidsai/cudf/blob/branch-0.20/python/cud... https://github.com/gmarkall/numba/blob/master/numba/cuda/com... >but we…
    comment by anon_tor_12345 · 2021-04-16 · in Unifying the CUDA Python Ecosystem
  7. Cudf and Cylon are two execution engines natively supporting Arrow format https://github.com/rapidsai/cudf https://github.com/cylondata/cylon
    comment by supunkk · 2021-02-04 · in Apache Arrow 3.0
  8. …If you have GPU instances, cuDF has a Pandas-like API on top of Apache Arrow. https://github.com/rapidsai/cudf > Built based on the Apache Arrow columnar memory format, cuDF is a GPU DataFrame library for loading, joining, aggregating,
  9. …format. cuDF (open source) supports the Pandas API on GPUs, using the Arrow standard for interop https://github.com/rapidsai/cudf and cuML (also open source) matches the scikit-learn interface: https://github.com/rapidsai/cuml PyTorch and…
  10. …of the file formats you have already. You can look here to see the file formats cudf supports. https://github.com/rapidsai/cudf/tree/branch-0.9/cpp/src/io You can try it out yourself here https://colab.research.google.com/drive/1r7S15Ie33yR…
    comment by felipe_aramburu · 2019-08-05 · in BlazingSQL is Now Open Source
  11. …I'm personally more excited about GPUs in stream processing; its just quite a natural fit: https://github.com/rapidsai/cudf
    comment by reilly3000 · 2019-08-05 · in BlazingSQL is Now Open Source
  12. You can try cuDF: https://github.com/rapidsai/cudf
  13. …compute kernels, GPU DataFrame, etc.) is part of RAPIDS AI. You can see source and license here: https://github.com/rapidsai/cudf
  14. Bit of a lmgtfy question, but here you go: https://github.com/rapidsai https://github.com/rapidsai/cudf/blob/branch-0.6/LICENSE
  15. Most of the execution kernels that we use are in https://github.com/rapidsai/cudf . The engine itself is not open source though it is free to use and we have a dockerhub link which is pretty convenient.…