Paul Eller

Postdoctoral Research Associate In Scientific Computing

Knoxville, Tennessee, United States
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Summary

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Senior
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Top School
Paul Eller is a Postdoctoral Research Associate in Scientific Computing with 14 years of experience designing and optimizing scalable numerical algorithms for leadership-class supercomputers. His PhD work advanced Krylov subspace methods for large-scale linear systems, and his postdoctoral work focuses on mixed-precision and GPU-optimized solvers deployed on machines like Summit. He has a strong track record at national labs (ORNL, Sandia, Argonne) developing performance analysis tools, network-noise injection frameworks, and optimized dense linear algebra kernels that exploit reduced-precision GPU features. Comfortable bridging theory and production, he combines deep numerical analysis with hands-on performance engineering in applications such as CoMet and PETSc. Actively seeking roles in the eastern U.S., he brings both practical HPC application experience and a nuanced understanding of network and memory behavior at scale.
code13 years of coding experience
job4 years of employment as a software developer
bookVirginia Tech
bookUniversity of Illinois Urbana-Champaign
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Github Skills (13)

mapzen7
tangram6
renderer6
javascript5
linux4
raspberry-pi4
ios4
opengl-es4
vector-tiles4
android4
opengl3
macos3
trend1

Programming languages (2)

C++JavaScript

Github contributions (5)

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terenn/rrdgraph-js

Jun 2012 - Sep 2012

rrdgraph implementation in JavaScript
Contributions:35 commits in 2 months
javascript
terenn/gb-skeleton

Mar 2016 - May 2017

Contributions:2 pushes, 1 branch in 1 year 1 month
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