NVIDIA/cudf
View on GitHub ↗ ★ 9,787 C++
cuDF - GPU DataFrame Library
15 mentions on Hacker News by 12 people: 2 stories, 13 comments · first 2019-02-18 · latest 2024-06-02
20082026
-
▲ 107
cuDF – GPU DataFrame Librarystory by tosh · 2024-06-02 · 29 comments
-
▲ 1
CuDF – GPU DataFrame Librarystory by tosh · 2024-06-01 · 0 comments
-
…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 -
You can probably use https://github.com/rapidsai/cudf/tree/main/python/dask_cudf a dask wrapper around cuDF.
comment by hack_ml · 2021-11-18 · in Dask – A flexible library for parallel computing in Python -
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!)
comment by lmeyerov · 2021-11-11 · in An Engineer's View of Venture Capitalists (2001) -
…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 -
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 -
…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,
comment by westurner · 2019-12-31 · in A lot of complex “scalable” systems can be done with a simple, single C++ server -
…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…
comment by zetazzed · 2019-08-09 · in GPUDirect Storage: A Direct Path Between Storage and GPU Memory -
…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 -
…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 -
You can try cuDF: https://github.com/rapidsai/cudf
comment by sandipc · 2019-04-17 · in CuPy – NumPy-compatible matrix library accelerated by CUDA -
…compute kernels, GPU DataFrame, etc.) is part of RAPIDS AI. You can see source and license here: https://github.com/rapidsai/cudf
comment by roaramburu · 2019-02-19 · in BlazingSQL – GPU SQL Engine Now Runs Over 20X Faster Than Apache Spark -
Bit of a lmgtfy question, but here you go: https://github.com/rapidsai https://github.com/rapidsai/cudf/blob/branch-0.6/LICENSE
comment by twtw · 2019-02-19 · in BlazingSQL – GPU SQL Engine Now Runs Over 20X Faster Than Apache Spark -
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.…
comment by felipe_aramburu · 2019-02-18 · in BlazingSQL – GPU SQL Engine Now Runs Over 20X Faster Than Apache Spark