Joe Eaton

Joe Eaton is a distinguished engineer for graph and data analytics, and PIC for GNN work at NVIDIA, overseeing devtech, libraries, and containers teams working on producing GNN products and libraries. He also supports and contributes to RAPIDS cuGraph and cuOpt efforts. Joe has a PhD in computational and applied math from UT Austin, a M.E. in mechanical engineering from Stanford and a BSME from Rice University
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Posts by Joe Eaton

Cybersecurity May 09, 2024

Revolutionizing Graph Analytics: Next-Gen Architecture with NVIDIA cuGraph Acceleration

In our previous exploration of graph analytics, we uncovered the transformative power of GPU-CPU fusion using NVIDIA cuGraph. Building upon those insights, we... 9 MIN READ
Image is the DGL and PyG logos with the words Accelerated by NVIDIA.
Data Science Dec 08, 2023

Available Now: NVIDIA AI Accelerated DGL and PyG Containers for GNNs

From credit card transactions, social networks, and recommendation systems to transportation networks and protein-protein interactions in biology, graphs are... 9 MIN READ
Robotics Dec 08, 2022

Boosting Dynamic Programming Performance Using NVIDIA Hopper GPU DPX Instructions

Dynamic programming (DP) is a well-known algorithmic technique and a mathematical optimization that has been used for several decades to solve groundbreaking... 9 MIN READ