Can I run my jupyter notebook that contains seaborn code on GPU?

Question

I have CUDA compatible GPU (Nvidia GeForce 1060) in my system. While analyzing a bigger dataset, I often have to use pair plot function of the seaborn library, it consumes a lot

Answer 1

Yes, you totally can! But just not with seaborn.

You can use the RAPIDS library and ecosystem (cudf and the GPU accelerated visualization library cuxfilter, with its connections to holoviews, datashader, and plot.ly dash api). Here is a great quick start guide to cuxfilter: https://docs.rapids.ai/api/cuxfilter/stable/10%20minutes%20to%20cuxfilter.html

Here is a blog of cuxfilter with dash api: https://medium.com/rapids-ai/plotly-census-viz-dashboard-powered-by-rapids-1503b3506652

We're about to do a tutorial at JupyterCon this week, if you have time to see it. https://cfp.jupytercon.com/2020/schedule/presentation/242/using-rapids-and-jupyter-to-accelerate-visualization-workflows/