Description
With datasets growing in both complexity and volume, the demand for more efficient data processing has never been higher. Pandas and NetworkX, the go-to Python libraries for tabular and graph data processing, are very popular for their ease of use and flexibility. However, they often struggle to keep pace with the demands of large-scale data analysis.
This talk introduces new open-source GPU accelerators from the NVIDIA RAPIDS project for Pandas and NetworkX, and will demonstrate how you can enable them for your workflows to experience massive speedups – up to 150x in pandas and 600x in NetworkX – without code changes.