Sudhanshu Sane

According to our database, Sudhanshu Sane authored at least 21 papers between 2016 and 2023.

Collaborative distances:

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

2023

State-of-the-Art Report on Optimizing Particle Advection Performance.

Abhishek Yenpure, Sudhanshu Sane, Roba Binyahib, David Pugmire, Christoph Garth, Hank Childs

Comput. Graph. Forum, June, 2023

Fiber Uncertainty Visualization for Bivariate Data With Parametric and Nonparametric Noise Models.

Tushar M. Athawale, Christopher R. Johnson, Sudhanshu Sane, David Pugmire

IEEE Trans. Vis. Comput. Graph., 2023

Interactive Visualization of Time-Varying Flow Fields Using Particle Tracing Neural Networks.

Mengjiao Han, Jixian Li, Sudhanshu Sane, Shubham Gupta, Bei Wang, Steve Petruzza, Chris R. Johnson

CoRR, 2023

2022

Demonstrating the viability of Lagrangian in situ reduction on supercomputers.

Sudhanshu Sane, Christopher R. Johnson, Hank Childs

J. Comput. Sci., 2022

A Guide to Particle Advection Performance.

Abhishek Yenpure, Sudhanshu Sane, Roba Binyahib, David Pugmire, Christoph Garth, Hank Childs

CoRR, 2022

2021

Exploratory Lagrangian-Based Particle Tracing Using Deep Learning.

Mengjiao Han, Sudhanshu Sane, Chris R. Johnson

CoRR, 2021

Uncertainty Visualization of the Marching Squares and Marching Cubes Topology Cases.

Tushar M. Athawale, Sudhanshu Sane, Chris R. Johnson

Proceedings of the 2021 IEEE Visualization Conference, 2021

Visualization of Uncertain Multivariate Data via Feature Confidence Level-Sets.

Sudhanshu Sane, Tushar M. Athawale, Chris R. Johnson

Proceedings of the 21st Eurographics Conference on Visualization, 2021

Trigger Happy: Assessing the Viability of Trigger-Based In Situ Analysis.

Matthew Larsen, Cyrus Harrison, Terece L. Turton, Sudhanshu Sane, Stephanie Brink, Hank Childs

Proceedings of the 11th IEEE Symposium on Large Data Analysis and Visualization, 2021

Investigating In Situ Reduction via Lagrangian Representations for Cosmology and Seismology Applications.

Sudhanshu Sane, Chris R. Johnson, Hank Childs

Proceedings of the Computational Science - ICCS 2021, 2021

Scalable In Situ Computation of Lagrangian Representations via Local Flow Maps.

Sudhanshu Sane, Abhishek Yenpure, Roxana Bujack, Matthew Larsen, Kenneth Moreland, Christoph Garth, Chris R. Johnson, Hank Childs

Proceedings of the 21st Eurographics Symposium on Parallel Graphics and Visualization, 2021

Visualizing Interactions Between Solar Photovoltaic Farms and the Atmospheric Boundary Layer.

Tushar M. Athawale, Brooke J. Stanislawski, Sudhanshu Sane, Chris R. Johnson

Proceedings of the e-Energy '21: The Twelfth ACM International Conference on Future Energy Systems, Virtual Event, Torino, Italy, 28 June, 2021

2020

A terminology for in situ visualization and analysis systems.

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

Int. J. High Perform. Comput. Appl., 2020

Scalable In Situ Lagrangian Flow Map Extraction: Demonstrating the Viability of a Communication-Free Model.

Sudhanshu Sane, Abhishek Yenpure, Roxana Bujack, Matthew Larsen, Kenneth Moreland, Christoph Garth, Hank Childs

CoRR, 2020

A Survey of Seed Placement and Streamline Selection Techniques.

Sudhanshu Sane, Roxana Bujack, Christoph Garth, Hank Childs

Comput. Graph. Forum, 2020

2019

When Parallel Performance Measurement and Analysis Meets In Situ Analytics and Visualization.

Allen D. Malony, Matthew Larsen, Kevin A. Huck, Chad Wood, Sudhanshu Sane, Hank Childs

Proceedings of the Parallel Computing: Technology Trends, 2019

An Interpolation Scheme for VDVP Lagrangian Basis Flows.

Sudhanshu Sane, Hank Childs, Roxana Bujack

Proceedings of the 19th Eurographics Symposium on Parallel Graphics and Visualization, 2019

2018

Revisiting the Evaluation of In Situ Lagrangian Analysis.

Sudhanshu Sane, Roxana Bujack, Hank Childs

Proceedings of the 18th Eurographics Symposium on Parallel Graphics and Visualization, 2018

2017

Spatiotemporal Wavelet Compression for Visualization of Scientific Simulation Data.

Shaomeng Li, Sudhanshu Sane, Leigh Orf, Pablo D. Mininni, John P. Clyne, Hank Childs

Proceedings of the 2017 IEEE International Conference on Cluster Computing, 2017

2016

A Deadlock-Free and Connectivity-Guaranteed Methodology for Achieving Fault-Tolerance in On-Chip Networks.

Pengju Ren, Xiaowei Ren, Sudhanshu Sane, Michel A. Kinsy, Nanning Zheng

IEEE Trans. Computers, 2016

A Scalable Observation System for Introspection and In Situ Analytics.

Chad Wood, Sudhanshu Sane, Daniel A. Ellsworth, Alfredo Giménez, Kevin A. Huck, Todd Gamblin, Allen D. Malony

Proceedings of the 5th Workshop on Extreme-Scale Programming Tools, 2016