Mark Kim

21 papers A 2B 3C 2Misc 2Journal 4Unranked 8
YearRankTypeTitle / Venue / Authors
2025 B conf
Predicting Course Transferability Using Deep Embeddings and Traditional Classifiers.
EDM
Mark Kim, Shreyas Raghuraman, Arno Puder, Craig Hayward, Hui Yang
2024 — conf
Foundation Models for Course Equivalency Evaluation.
ICDM (Workshops)
Mark Kim, Arno Puder, Craig Hayward, Hui Yang
2020 J jnl
ADIOS 2: The Adaptable Input Output System. A framework for high-performance data management.
SoftwareX
William F. Godoy, Norbert Podhorszki, Ruonan Wang, Chuck Atkins, Greg Eisenhauer, Junmin Gu, Philip E. Davis, Jong Choi, Kai Germaschewski, Kevin A. Huck, Axel Huebl, Mark Kim, James Kress, Tahsin M. Kurç, Qing Liu, Jeremy Logan, Kshitij Mehta, George Ostrouchov, Manish Parashar, Franz Poeschel, David Pugmire, Eric Suchyta, Keichi Takahashi, Nick Thompson, Seiji Tsutsumi, Lipeng Wan, Matthew Wolf, Kesheng Wu, Scott Klasky
2020 — conf
Comparing Time-to-Solution for In Situ Visualization Paradigms at Scale.
LDAV
James Kress, Matthew Larsen, Jong Choi, Mark Kim, Matthew Wolf, Norbert Podhorszki, Scott Klasky, Hank Childs, David Pugmire
2020 J jnl
Extending the Publish/Subscribe Abstraction for High-Performance I/O and Data Management at Extreme Scale.
IEEE Data Eng. Bull.
Jeremy Logan, Mark Ainsworth, Chuck Atkins, Jieyang Chen, Jong Choi, Junmin Gu, James Kress, Greg Eisenhauer, Berk Geveci, William F. Godoy, Mark Kim, Tahsin M. Kurç, Qing Liu, Kshitij Mehta, George Ostrouchov, Norbert Podhorszki, David Pugmire, Eric Suchyta, Nicholas Thompson, Ozan Tugluk, Lipeng Wan, Ruonan Wang, Ben Whitney, Matthew Wolf, Kesheng Wu, Scott Klasky
2020 C conf
Opportunities for Cost Savings with In-Transit Visualization.
ISC
James Kress, Matthew Larsen, Jong Choi, Mark Kim, Matthew Wolf, Norbert Podhorszki, Scott Klasky, Hank Childs, David Pugmire
2020 B conf
Visualization as a Service for Scientific Data.
SMC
David Pugmire, James Kress, Jieyang Chen, Hank Childs, Jong Choi, Dmitry Ganyushin, Berk Geveci, Mark Kim, Scott Klasky, Xin Liang, Jeremy Logan, Nicole Marsaglia, Kshitij Mehta, Norbert Podhorszki, Caitlin Ross, Eric Suchyta, Nick Thompson, Steven Walton, Lipeng Wan, Matthew Wolf
2019 C conf
Comparing the Efficiency of In Situ Visualization Paradigms at Scale.
ISC
James Kress, Matthew Larsen, Jong Choi, Mark Kim, Matthew Wolf, Norbert Podhorszki, Scott Klasky, Hank Childs, David Pugmire
2018 A conf
A View from ORNL: Scientific Data Research Opportunities in the Big Data Age.
ICDCS
Scott Klasky, Matthew Wolf, Mark Ainsworth, Chuck Atkins, Jong Choi, Greg Eisenhauer, Berk Geveci, William F. Godoy, Mark Kim, James Kress, Tahsin M. Kurç, Qing Liu, Jeremy Logan, Arthur B. Maccabe, Kshitij Mehta, George Ostrouchov, Manish Parashar, Norbert Podhorszki, David Pugmire, Eric Suchyta, Lipeng Wan, Ruonan Wang
2018 — conf
Coupling Exascale Multiphysics Applications: Methods and Lessons Learned.
eScience
Jong Youl Choi, Choong-Seock Chang, Julien Dominski, Scott Klasky, Gabriele Merlo, Eric Suchyta, Mark Ainsworth, Bryce Allen, Franck Cappello, Michael Churchill, Philip E. Davis, Sheng Di, Greg Eisenhauer, Stéphane Ethier, Ian T. Foster, Berk Geveci, Hanqi Guo, Kevin A. Huck, Frank Jenko, Mark Kim, James Kress, Seung-Hoe Ku, Qing Liu, Jeremy Logan, Allen D. Malony, Kshitij Mehta, Kenneth Moreland, Todd S. Munson, Manish Parashar, Tom Peterka, Norbert Podhorszki, Dave Pugmire, Ozan Tugluk, Ruonan Wang, Ben Whitney, Matthew Wolf, Chad Wood
2018 — conf
Dense Texture Flow Visualization using Data-Parallel Primitives.
EGPGV@EuroVis
Mark Kim, Scott Klasky, David Pugmire
2018 — conf
In Situ Analysis and Visualization of Fusion Simulations: Lessons Learned.
ISC Workshops
Mark Kim, James Kress, Jong Choi, Norbert Podhorszki, Scott Klasky, Matthew Wolf, Kshitij Mehta, Kevin A. Huck, Berk Geveci, Sujin Phillip, Robert Maynard, Hanqi Guo, Tom Peterka, Kenneth Moreland, Choong-Seock Chang, Julien Dominski, Michael Churchill, David Pugmire
2018 — conf
Performance-Portable Particle Advection with VTK-m.
EGPGV@EuroVis
David Pugmire, Abhishek Yenpure, Mark Kim, James Kress, Robert Maynard, Hank Childs, Bernd Hentschel
2017 Misc conf
Closest Point Sparse Octree for Surface Flow Visualization.
Visualization and Data Analysis
Mark Kim, Charles D. Hansen
2017 A conf
Exacution: Enhancing Scientific Data Management for Exascale.
ICDCS
Scott Klasky, Eric Suchyta, Mark Ainsworth, Qing Liu, Ben Whitney, Matthew Wolf, Jong Youl Choi, Ian T. Foster, Mark Kim, Jeremy Logan, Kshitij Mehta, Todd S. Munson, George Ostrouchov, Manish Parashar, Norbert Podhorszki, David Pugmire, Lipeng Wan
2017 — conf
In Situ Visualization of Radiation Transport Geometry.
ISAV@SC
Mark Kim, Tom Evans, Scott Klasky, David Pugmire
2016 J jnl
Preparing for In Situ Processing on Upcoming Leading-edge Supercomputers.
Supercomput. Front. Innov.
James Kress, Randy Michael Churchill, Scott Klasky, Mark Kim, Hank Childs, David Pugmire
2015 Misc conf
GPU surface extraction using the closest point embedding.
Visualization and Data Analysis
Mark Kim, Charles D. Hansen
2015 B conf
Surface flow visualization using the closest point embedding.
PacificVis
Mark Kim, Charles D. Hansen
2012 J jnl
Direct Feature Visualization Using Morse-Smale Complexes.
IEEE Trans. Vis. Comput. Graph.
Attila Gyulassy, Natallia Kotava, Mark Kim, Charles D. Hansen, Hans Hagen, Valerio Pascucci
2012 — conf
Dynamic particle system for mesh extraction on the GPU.
GPGPU@ASPLOS
Mark Kim, Guoning Chen, Charles D. Hansen