Gregory Kimball

Gregory Kimball is a software engineering manager at NVIDIA working on the RAPIDS team. Gregory leads development for libcudf, the CUDA/C++ library for columnar data processing that powers RAPIDS cuDF. Gregory holds a PhD in applied physics from the California Institute of Technology.
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Posts by Gregory Kimball

Data Science Oct 06, 2025

Accelerating Large-Scale Data Analytics with GPU-Native Velox and NVIDIA cuDF

As workloads scale and demand for faster data processing grows, GPU-accelerated databases and query engines have been shown to deliver significant... 7 MIN READ
Data Science Aug 07, 2025

Efficient Transforms in cuDF Using JIT Compilation

RAPIDS cuDF offers a broad set of ETL algorithms for processing data with GPUs. For pandas users, cuDF accelerated algorithms are available with the zero code... 9 MIN READ
Data Center / Cloud Mar 11, 2025

Efficient ETL with Polars and Apache Spark on NVIDIA Grace CPU

The NVIDIA Grace CPU Superchip delivers outstanding performance and best-in-class energy efficiency for CPU workloads in the data center and in the cloud. The... 7 MIN READ
A diagram of how JSON data is processed.
Data Science Feb 20, 2025

JSON Lines Reading with pandas 100x Faster Using NVIDIA cuDF

JSON is a widely adopted format for text-based information working interoperably between systems, most commonly in web applications and large language models... 10 MIN READ
Data Science Nov 28, 2024

Supercharging Deduplication in pandas Using RAPIDS cuDF

A common operation in data analytics is to drop duplicate rows. Deduplication is critical in Extract, Transform, Load (ETL) workflows, where you might want to... 12 MIN READ
Data Science Sep 11, 2024

Scaling Up to One Billion Rows of Data in pandas using RAPIDS cuDF

The One Billion Row Challenge is a fun benchmark to showcase basic data processing operations. It was originally launched as a pure-Java competition, and has... 11 MIN READ