Eric Papenhausen
Eric Papenhausen
PhD Student Computer Science, Stony Brook University
Verified email at cs.stonybrook.edu
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 (HPIR), 19-22, 2011
382011
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
142013
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
122013
Creating optimal code for GPU‐accelerated CT reconstruction using ant colony optimization
E Papenhausen, Z Zheng, K Mueller
Medical physics 40 (3), 031110, 2013
102013
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
92013
Coding Ants: Optimization of GPU code using ant colony optimization
E Papenhausen, K Mueller
Computer Languages, Systems & Structures 54, 119-138, 2018
62018
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
62015
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 …, 2015
32015
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
22016
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
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
12017
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
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
Manual, Automatic, and Semi-Automatic Performance Optimization
E Papenhausen
State University of New York at Stony Brook, 2017
2017
PUMA-V-Polyhedral User Mapping Assistant and Visualizer Final Technical Report
MH Langston, M Lin, E Papenhausen, B Meister, A Konstantinidis, ...
Reservoir Labs, Inc., New York, NY (United States), 2016
2016
Optimizing the domain wall fermion Dirac operator using the R-Stream source-to-source compiler
M Lin, E Papenhausen, MH Langston, B Meister, M Baskaran, T Izubuchi, ...
arXiv preprint arXiv:1512.01542, 2015
2015
Erratum: DQS advisor: a visual interface and knowledge-based system to balance dose, quality, and reconstruction speed in iterative CT reconstruction with application to NLM …
Z Zheng, E Papenhausen, K Mueller
Physics in Medicine & Biology 59 (3), 795, 2014
2014
Coding Ants: Using Ant Colony Optimization to Accelerate CT Reconstruction
E Papenhausen, Z Zheng, K Mueller
hgpu. org, 2012
2012
Approximate Inverse Chain Preconditioner: Iteration Count Case Study for Spectral Support Solvers
MH Langston, PD Letourneau, J Wei, L Weintraub, M Harris, R Lethin, ...
List of papers
K Wu, D Lee, A Sim, J Choi, J Wang, E Papenhausen, B Wang, S Ha, ...
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Articles 1–20