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.

Posts by Gregory Kimball

Data Science Jul 08, 2026

Running Low-Latency Analytical Workloads with GPU-Accelerated Presto on NVIDIA GB200 NVL72

Presto is an open source, distributed SQL engine for running fast, interactive queries on very large datasets. On NVIDIA GPUs, Presto delivers peak performance... 8 MIN READ

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