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Eric Papenhausen
Eric Papenhausen
CTO Akai Kaeru
Verified email at akaikaeru.com
Title
Cited by
Cited by
Year
GPU-accelerated back-projection revisited: squeezing performance by careful tuning
E Papenhausen, Z Zheng, K Mueller
Workshop on High Performance Image Reconstruction 1, 1-4, 2011
422011
Rapid rabbit: Highly optimized GPU accelerated cone-beam CT reconstruction
E Papenhausen, K Mueller
2013 IEEE Nuclear Science Symposium and Medical Imaging Conference (2013 NSS …, 2013
172013
DQS advisor: a visual interface and knowledge-based system to balance dose, quality, and reconstruction speed in iterative CT reconstruction with application to NLM-regularization
Z Zheng, E Papenhausen, K Mueller
Physics in Medicine & Biology 58 (21), 7857, 2013
152013
Coding Ants: Optimization of GPU code using ant colony optimization
E Papenhausen, K Mueller
Computer Languages, Systems & Structures 54, 119-138, 2018
122018
GPU-accelerated incremental correlation clustering of large data with visual feedback
E Papenhausen, B Wang, S Ha, A Zelenyuk, D Imre, K Mueller
2013 IEEE International Conference on Big Data, 63-70, 2013
112013
Creating optimal code for GPU‐accelerated CT reconstruction using ant colony optimization
E Papenhausen, Z Zheng, K Mueller
Medical physics 40 (3), 031110, 2013
112013
Using demographic pattern analysis to predict covid-19 fatalities on the us county level
K Mueller, E Papenhausen
Digital Government: Research and Practice 2 (1), 1-11, 2020
72020
Polyhedral user mapping and assistant visualizer tool for the r-stream auto-parallelizing compiler
E Papenhausen, B Wang, MH Langston, M Baskaran, T Henretty, ...
2015 IEEE 3rd Working Conference on Software Visualization (VISSOFT), 180-184, 2015
72015
Polyhedral tensor schedulers
B Meister, EPA Kaeru, BP Silexica
2019 International Conference on High Performance Computing & Simulation …, 2019
62019
An interactive visual tool for code optimization and parallelization based on the polyhedral model
E Papenhausen, K Mueller, MH Langston, B Meister, R Lethin
2016 45th International Conference on Parallel Processing Workshops (ICPPW …, 2016
52016
Iterative Cone-Beam CT Reconstruction on GPUs
W Xu, Z Zheng, E Papenhausen, S Ha, K Mueller
Graphics Processing Unit-Based High Performance Computing in Radiation …, 2018
32018
Progressive clustering of big data with GPU acceleration and visualization
J Wang, E Papenhausen, B Wang, S Ha, A Zelenyuk, K Mueller
2017 New York Scientific Data Summit (NYSDS), 1-9, 2017
22017
Searching effective parameters for low-dose CT reconstruction by ant colony optimization
Z Zheng, E Papenhausen, K Mueller
Int. Conf. Image Formation in X-Ray Computed Tomography, 182-185, 2012
22012
An Explainable AI Approach to Large Language Model Assisted Causal Model Auditing and Development
Y Zhang, B Fitzgibbon, D Garofolo, A Kota, E Papenhausen, K Mueller
arXiv preprint arXiv:2312.16211, 2023
12023
Patterns of social vulnerability-an interactive dashboard to explore risks to public health on the us county level
D Coelho, N Gupta, E Papenhausen, K Mueller
2022 Workshop on Visual Analytics in Healthcare (VAHC), 01-09, 2022
12022
Systems and methods for tensor scheduling
BJ Meister, E Papenhausen
US Patent 11,372,629, 2022
12022
PUMA-V: An interactive visual tool for code optimization and parallelization based on the polyhedral model
E Papenhausen, K Mueller, H Langston, B Meister, R Lethin
2016 New York Scientific Data Summit (NYSDS), 1-4, 2016
12016
Approximate Inverse Chain Preconditioner: Iteration Count Case Study for Spectral Support Solvers
MH Langston, PD Letourneau, J Wei, L Weintraub, M Harris, R Lethin, ...
2020 IEEE High Performance Extreme Computing Conference (HPEC), 1-8, 2020
2020
PUMA-V: Optimizing Parallel Code Performance Through Interactive Visualization
E Papenhausen, MH Langston, B Meister, RA Lethin, K Mueller
IEEE Computer Graphics and Applications 39 (1), 84-99, 2019
2019
◾ Iterative Cone-Beam CT Reconstruction on GPUs: A Computational Perspective
XU WEI, Z ZHENG, E PAPENHAUSEN, HA SUNGSOO, K MUELLER
Graphics Processing Unit-Based High Performance Computing in Radiation …, 2019
2019
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