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RHEL.ai Accelerators Intern

Kenny Ge

Kenneth Ge is an intern in the RHEL.ai Group (formerly known as the Kernel Accelerators Group). He has experience in a wide range of areas, including AI, GPU algorithms and optimization, desktop app development, web development, etc. He loves bringing a multidisciplinary toolbox to any problem, and is dedicated to making an impact. 

Kenny Ge's contributions

Configure a Jupyter notebook to use GPUs for AI/ML modeling
Article

Your second GPU algorithm: Quicksort

Kenny Ge

Learn how to write a GPU-accelerated quicksort procedure using the algorithm for prefix sum/scan and explore other GPU algorithms, such as Reduce and Game of Life.

Configure a Jupyter notebook to use GPUs for AI/ML modeling
Article

Your first GPU algorithm: Scan/prefix sum

Kenny Ge

An in-depth look at a foundational GPU programming algorithm: the prefix sum. The goal is to expose the reader to the tools and language of GPU programming, rather see it only as a way to optimize certain existing subroutines.

Configure a Jupyter notebook to use GPUs for AI/ML modeling
Article

What is GPU programming?

Kenny Ge

The first of a four-part series on introductory GPU programming, this article provides a basic overview of the GPU programming model.