"The basic approach for the GPU Data Frame (GDF) is pretty simple: if
applications and libraries agree on an in-memory data format for tabular
data and associate metadata, then just a device pointer to the data
structure need be exchanged. Additionally, the IPC mechanism built into
the CUDA driver allows device pointers to be moved between processes.
The GDF uses the Apache Arrow columnar format to represent data on the GPU. Some Arrow features are not yet supported."
http://gpuopenanalytics.com/#/
https://www.omnisci.com/blog/end-to-end-on-the-gpu-with-the-gpu-data-frame-gdf
https://www.anaconda.com/blog/developer-blog/bringing-dataframe-acceleration-gpu-rapids-project/
https://docs.anaconda.com/anaconda/user-guide/tasks/gpu-packages/
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