Rick Ratzel

Rick Ratzel is a technical lead for RAPIDS cuGraph, which is a library of GPU-accelerated graph algorithms. Rick joined NVIDIA in January 2019, bringing several years of experience as a technical lead for teams in industries that include test and measurement, electronic design automation, and scientific computing. Rick’s focus for cuGraph, and throughout his career, has been on software architecture and API usability.
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Posts by Rick Ratzel

Data Science Feb 13, 2025

Using NetworkX, Jaccard Similarity, and cuGraph to Predict Your Next Favorite Movie

As the amount of data available to everyone in the world increases, the ability for a consumer to make informed decisions becomes increasingly difficult.... 9 MIN READ
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Data Science Oct 22, 2024

NetworkX Introduces Zero Code Change Acceleration Using NVIDIA cuGraph

NetworkX accelerated by NVIDIA cuGraph is a newly released backend co-developed with the NetworkX team. NVIDIA cuGraph provides GPU acceleration for popular... 7 MIN READ
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Data Science Nov 08, 2023

Accelerating NetworkX on NVIDIA GPUs for High Performance Graph Analytics

NetworkX states in its documentation that it is “…a Python package for the creation, manipulation, and study of the structure, dynamics, and functions of... 12 MIN READ