RAPIDS Framework

A RAPIDS Framework is a GPU-Accelerated Python Framework.

• Context:
  • …
• Example(s):
  • …
• Counter-Example(s):
  • Tensorflow Platform.
• See: Python (Programming Language), Parallel Computing, DASK Framework.

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References

2021

• https://stackoverflow.com/a/60740519
  • QUOTE:
    • … Dask is a Python library which enables out of core parallelism and distribution of some popular Python libraries as well as custom functions. Take Pandas for example. Pandas is a popular library for working with Dataframes in Python. However it is single-threaded and the Dataframes you are working on must fit within memory. Dask has a subpackage called dask.dataframe which follows most of the same API as Pandas but instead breaks your Dataframe down into partitions which can be operated on in parallel and can be swapped in and out of memory. Dask uses Pandas under the hood, so each partition is a valid Pandas Dataframe. The overall Dask Dataframe can scale out and use multiple cores or multiple machines.
    • RAPIDS is a collection of GPU accelerated Python libraries which follow the API of other popular Python packages.

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