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 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
Data Science Jul 17, 2024

Encoding and Compression Guide for Parquet String Data Using RAPIDS

Parquet writers provide encoding and compression options that are turned off by default. Enabling these options may provide better lossless compression for your... 10 MIN READ
Data Science Dec 15, 2023

Streamline ETL Workflows with Nested Data Types in RAPIDS libcudf

Nested data types are a convenient way to represent hierarchical relationships within columnar data. They are frequently used as part of extract, transform,... 10 MIN READ
Data Science Feb 09, 2023

GPU-Accelerated JSON Data Processing with RAPIDS

JSON is a widely adopted format for text-based information working interoperably between systems, most commonly in web applications. While the JSON format is... 8 MIN READ
Data Science Oct 17, 2022

Mastering String Transformations in RAPIDS libcudf

Efficient processing of string data is vital for many data science applications. To extract valuable information from string data, RAPIDS libcudf provides... 17 MIN READ