Accelerating data analytics with RAPIDS cuDF

Pandas, renowned as the go-to library for data manipulation and analysis in Python and widely adopted in machine learning. However, Pandas is slow. With the introduction of NVIDIA cuDF.pandas, the accelerated power of GPUs is integrated into Pandas, enabling faster processing without the need for any code changes. A live demo will showcase this enhancement on clusters.
_______________________________________­________
This webinar was presented by Nast Shahparian (SHARCNET) on April 10th, 2024, as a part of a series of weekly Compute Ontario Colloquia. The webinar was hosted by SHARCNET. The colloquia cover different advanced research computing (ARC) and high performance computing (HPC) topics, are approximately 45 minutes in length, and are delivered by experts in the relevant fields. Further details can be found on this web page: www.computeont... . Recordings, slides, and other materials can be found here: helpwiki.sharc...
SHARCNET is a consortium of 19 Canadian academic institutions who share a network of high performance computers (www.sharcnet.ca). SHARCNET is a part of Compute Ontario (computeontario.ca/) and Digital Research Alliance of Canada (alliancecan.ca).