In an upcoming special podcast miniseries, Software Engineering Daily sits down with Turing Award recipients,

the most prestigious honor in computer science, to explore their lives, achievements, stories, and insights.

What inspires these innovators who have transformed the field of computer science,

and how do their groundbreaking ideas continue to shape technology

today? We delve into pioneering work and programming languages, breakthroughs in computing

performance, revolutionary advancements in chip architecture, and more. Join us this March and April

for rare and thoughtful conversations with Turing Award winners and learn about some of the

most influential breakthroughs

in computer science. Invidia Rapids is an open-source suite of GPU-accelerated data science

and AI libraries. It leverages CUDA and significantly enhances the performance of core Python

frameworks, including Polars, Pandas, Psykit Learn, and Network X.

Chris Diot is a senior data scientist at NVIDIA, and Jean-François Puget is the director

and a distinguished engineer at NVIDIA.

Chris and Jean-François are also Kaggle Grandmasters, which is the highest rank a data

scientist or machine learning practitioner can achieve

on Kaggle, a competitive platform for data science challenges.

In this episode, they joined the podcast with Sean Falconer to talk about Kaggle, GPU

GPU acceleration for data science applications, where they've achieved the biggest performance

gains, the unexpected challenges with tabular data, and much more.

This episode is hosted by Sean Falconer, welcome the show.

Thanks for inviting us.

Thank you.

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