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


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
Simulation / Modeling / Design

Parallel Direct Solvers with cuSOLVER: Batched QR

[Note: Lung Sheng Chien from NVIDIA also contributed to this post.] A key bottleneck for most science and engineering simulations is the solution of sparse... 15 MIN READ
Simulation / Modeling / Design

AmgX V1.0: Enabling Reservoir Simulation with Classical AMG

Back in January I wrote a post about the public beta availability of AmgX, a linear solver library for large-scale industrial applications.  Since then, AmgX... 7 MIN READ
Simulation / Modeling / Design

AmgX: Multi-Grid Accelerated Linear Solvers for Industrial Applications

Many industries use Computational Fluid Dynamics (CFD) to predict fluid flow forces on products during the design phase, using only numerical methods. A famous... 7 MIN READ