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ORCIDSudhanshu Sane
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2020 – today
- 2024
[c12]Mengjiao Han, Jixian Li, Sudhanshu Sane, Shubham Gupta, Bei Wang, Steve Petruzza, Chris R. Johnson:
Interactive Visualization of Time-Varying Flow Fields Using Particle Tracing Neural Networks. PacificVis 2024: 52-61- 2023
- [j6]Abhishek Yenpure
, Sudhanshu Sane, Roba Binyahib, David Pugmire, Christoph Garth, Hank Childs:
State-of-the-Art Report on Optimizing Particle Advection Performance. Comput. Graph. Forum 42(3): 517-537 (2023) - [j5]Tushar M. Athawale, Christopher R. Johnson, Sudhanshu Sane, David Pugmire:
Fiber Uncertainty Visualization for Bivariate Data With Parametric and Nonparametric Noise Models. IEEE Trans. Vis. Comput. Graph. 29(1): 613-623 (2023) - [i6]Mengjiao Han, Jixian Li, Sudhanshu Sane, Shubham Gupta, Bei Wang, Steve Petruzza, Chris R. Johnson:
Interactive Visualization of Time-Varying Flow Fields Using Particle Tracing Neural Networks. CoRR abs/2312.14973 (2023) - 2022
- [j4]Sudhanshu Sane, Christopher R. Johnson, Hank Childs:
Demonstrating the viability of Lagrangian in situ reduction on supercomputers. J. Comput. Sci. 61: 101615 (2022) - [i5]Abhishek Yenpure, Sudhanshu Sane, Roba Binyahib, David Pugmire, Christoph Garth, Hank Childs:
A Guide to Particle Advection Performance. CoRR abs/2201.08440 (2022) - [i4]Tushar M. Athawale, Chris R. Johnson, Sudhanshu Sane, David Pugmire:
Fiber Uncertainty Visualization for Bivariate Data With Parametric and Nonparametric Noise Models. CoRR abs/2207.11318 (2022) - 2021
- [c11]Tushar M. Athawale, Brooke J. Stanislawski, Sudhanshu Sane, Chris R. Johnson:
Visualizing Interactions Between Solar Photovoltaic Farms and the Atmospheric Boundary Layer. e-Energy 2021: 377-381 - [c10]Sudhanshu Sane, Abhishek Yenpure, Roxana Bujack, Matthew Larsen, Kenneth Moreland, Christoph Garth, Chris R. Johnson, Hank Childs:
Scalable In Situ Computation of Lagrangian Representations via Local Flow Maps. EGPGV@EuroVis 2021: 19-29 - [c9]Sudhanshu Sane, Chris R. Johnson, Hank Childs:
Investigating In Situ Reduction via Lagrangian Representations for Cosmology and Seismology Applications. ICCS (1) 2021: 436-450 - [c8]Matthew Larsen, Cyrus Harrison, Terece L. Turton, Sudhanshu Sane, Stephanie Brink, Hank Childs:
Trigger Happy: Assessing the Viability of Trigger-Based In Situ Analysis. LDAV 2021: 22-31 - [c7]Sudhanshu Sane, Tushar M. Athawale, Chris R. Johnson:
Visualization of Uncertain Multivariate Data via Feature Confidence Level-Sets. EuroVis (Short Papers) 2021: 43-47 - [c6]Tushar M. Athawale, Sudhanshu Sane, Chris R. Johnson:
Uncertainty Visualization of the Marching Squares and Marching Cubes Topology Cases. IEEE VIS (Short Papers) 2021: 106-110 - [i3]Tushar M. Athawale, Sudhanshu Sane, Chris R. Johnson:
Uncertainty Visualization of the Marching Squares and Marching Cubes Topology Cases. CoRR abs/2108.03066 (2021) - [i2]Mengjiao Han, Sudhanshu Sane, Chris R. Johnson:
Exploratory Lagrangian-Based Particle Tracing Using Deep Learning. CoRR abs/2110.08338 (2021) - 2020
- [j3]Sudhanshu Sane, Roxana Bujack, Christoph Garth, Hank Childs:
A Survey of Seed Placement and Streamline Selection Techniques. Comput. Graph. Forum 39(3): 785-809 (2020) - [j2]Hank Childs, Sean Ahern, James P. Ahrens, Andrew C. Bauer, Janine Bennett, E. Wes Bethel, Peer-Timo Bremer, Eric Brugger, Joseph Cottam, Matthieu Dorier, Soumya Dutta, Jean M. Favre, Thomas Fogal, Steffen Frey, Christoph Garth, Berk Geveci, William F. Godoy, Charles D. Hansen, Cyrus Harrison, Bernd Hentschel, Joseph A. Insley, Christopher R. Johnson, Scott Klasky, Aaron Knoll, James Kress, Matthew Larsen, Jay F. Lofstead, Kwan-Liu Ma, Preeti Malakar, Jeremy S. Meredith, Kenneth Moreland, Paul A. Navrátil, Patrick O'Leary, Manish Parashar, Valerio Pascucci, John Patchett, Tom Peterka, Steve Petruzza, Norbert Podhorszki, David Pugmire, Michel E. Rasquin, Silvio Rizzi, David H. Rogers, Sudhanshu Sane, Franz Sauer, Robert Sisneros, Han-Wei Shen, Will Usher, Rhonda Vickery, Venkatram Vishwanath, Ingo Wald, Ruonan Wang, Gunther H. Weber, Brad Whitlock, Matthew Wolf, Hongfeng Yu, Sean B. Ziegeler:
A terminology for in situ visualization and analysis systems. Int. J. High Perform. Comput. Appl. 34(6) (2020) - [i1]Sudhanshu Sane, Abhishek Yenpure, Roxana Bujack, Matthew Larsen, Kenneth Moreland, Christoph Garth, Hank Childs:
Scalable In Situ Lagrangian Flow Map Extraction: Demonstrating the Viability of a Communication-Free Model. CoRR abs/2004.02003 (2020)
2010 – 2019
- 2019
- [c5]Sudhanshu Sane, Hank Childs, Roxana Bujack:
An Interpolation Scheme for VDVP Lagrangian Basis Flows. EGPGV@EuroVis 2019: 109-119 - [c4]Allen D. Malony, Matthew Larsen, Kevin A. Huck, Chad Wood, Sudhanshu Sane, Hank Childs:
When Parallel Performance Measurement and Analysis Meets In Situ Analytics and Visualization. PARCO 2019: 521-530 - 2018
- [c3]Sudhanshu Sane, Roxana Bujack, Hank Childs:
Revisiting the Evaluation of In Situ Lagrangian Analysis. EGPGV@EuroVis 2018: 63-67 - 2017
- [c2]Shaomeng Li, Sudhanshu Sane, Leigh Orf, Pablo D. Mininni, John P. Clyne, Hank Childs:
Spatiotemporal Wavelet Compression for Visualization of Scientific Simulation Data. CLUSTER 2017: 216-227 - 2016
- [j1]Pengju Ren, Xiaowei Ren, Sudhanshu Sane, Michel A. Kinsy, Nanning Zheng:
A Deadlock-Free and Connectivity-Guaranteed Methodology for Achieving Fault-Tolerance in On-Chip Networks. IEEE Trans. Computers 65(2): 353-366 (2016) - [c1]Chad Wood, Sudhanshu Sane, Daniel A. Ellsworth, Alfredo Giménez, Kevin A. Huck, Todd Gamblin, Allen D. Malony:
A Scalable Observation System for Introspection and In Situ Analytics. ESPT@SC 2016: 42-49
Coauthor Index
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last updated on 2024-08-16 00:38 CEST by the dblp team
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