Eric Papenhausen

According to our database, Eric Papenhausen authored at least 10 papers between 2013 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

An Explainable AI Approach to Large Language Model Assisted Causal Model Auditing and Development.

Yanming Zhang, Brette Fitzgibbon, Dino Garofolo, Akshith Kota, Eric Papenhausen, Klaus Mueller

CoRR, 2023

2022

Patterns of Social Vulnerability - An Interactive Dashboard to Explore Risks to Public Health on the US County Level.

Darius Coelho, Nikita Gupta, Eric Papenhausen, Klaus Mueller

Proceedings of the Workshop on Visual Analytics in Healthcare, 2022

2021

Using Demographic Pattern Analysis to Predict COVID-19 Fatalities on the US County Level.

Klaus Mueller, Eric Papenhausen

Digit. Gov. Res. Pract., 2021

2020

Approximate Inverse Chain Preconditioner: Iteration Count Case Study for Spectral Support Solvers.

Harper Langston, Pierre-David Letourneau, Julia Wei, Larry Weintraub, Mitchell Tong Harris, Richard Lethin, Eric Papenhausen, Meifeng Lin

Proceedings of the 2020 IEEE High Performance Extreme Computing Conference, 2020

2019

PUMA-V: Optimizing Parallel Code Performance Through Interactive Visualization.

Eric Papenhausen, Matthew Harper Langston, Benoît Meister, Richard Lethin, Klaus Mueller

IEEE Computer Graphics and Applications, 2019

Polyhedral Tensor Schedulers.

Benoît Meister, Eric Papenhausen, Benoît Pradelle

Proceedings of the 17th International Conference on High Performance Computing & Simulation, 2019

2018

Coding Ants: Optimization of GPU code using ant colony optimization.

Eric Papenhausen, Klaus Mueller

Comput. Lang. Syst. Struct., 2018

2016

An Interactive Visual Tool for Code Optimization and Parallelization Based on the Polyhedral Model.

Eric Papenhausen, Klaus Mueller, Harper Langston, Benoît Meister, Richard Lethin

Proceedings of the 45th International Conference on Parallel Processing Workshops, 2016

2015

Polyhedral user mapping and assistant visualizer tool for the r-stream auto-parallelizing compiler.

Eric Papenhausen, Bing Wang, Harper Langston, Muthu Manikandan Baskaran, Thomas Henretty, Taku Izubuchi, Ann Johnson, Chulwoo Jung, Meifeng Lin, Benoît Meister, Klaus Mueller, Richard Lethin

Proceedings of the 3rd IEEE Working Conference on Software Visualization, 2015

2013

GPU-accelerated incremental correlation clustering of large data with visual feedback.

Eric Papenhausen, Bing Wang, Sungsoo Ha, Alla Zelenyuk, Dan Imre, Klaus Mueller

Proceedings of the 2013 IEEE International Conference on Big Data (IEEE BigData 2013), 2013