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Dask, Pandas, and GPUs: First Steps
We’re building a distributed GPU Pandas dataframe out of cuDF and Dask Dataframe. This effort is young. This post describes the current situation, our general approach, and gives examples of what does and doesn’t work today. We end with some notes on scaling performance. [Related Article: From Pandas to Scikit-Learn — A New Exciting... Read more
10 Minutes to cuDF and Dask cuDF
Centered around Apache Arrow DataFrames on the GPU, RAPIDS is designed to enable end-to-end data science and analytics on GPUs. Together, open source libraries like RAPIDS cuDF and Dask let users process tabular data on GPUs at scale with a familiar, pandas-like API. With Dask, anything you can do... Read more