Topic: "Accelerating data analytics with RAPIDS cuDF"

Speaker: Nastaran Shahparian, SHARCNET

Video link

Recording

 

--- 

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.

The Compute Ontario Colloquia are weekly Zoom presentations on Advanced Research Computing, High Performance Computing, Research Data Management, and Research Software topics, delivered by staff from three Compute Ontario consortia (CAC, SciNet, SHARCNET) and guest speakers. The series began January 2023 and superseded similar series previously delivered by individual consortia (e.g. General Interest Seminars by SHARCNET or User Group Meeting TechTalks by SciNet). The colloquia are one hour long and include time for questions. No registration is required. Presentations are usually recorded and uploaded to the hosting consortium video channel (colloquia hosted by SHARCNET go to our youtube channel).