Mark Kim
Mark Kim
Software Engineer, Graphics Research Team, Qualcomm
Verified email at - Homepage
Cited by
Cited by
Direct feature visualization using Morse-Smale complexes
A Gyulassy, N Kotava, M Kim, CD Hansen, H Hagen, V Pascucci
Visualization and Computer Graphics, IEEE Transactions on 18 (9), 1549-1562, 2012
Coupling exascale multiphysics applications: Methods and lessons learned
JY Choi, CS Chang, J Dominski, S Klasky, G Merlo, E Suchyta, ...
2018 IEEE 14th International Conference on e-Science (e-Science), 442-452, 2018
Performance-Portable Particle Advection with VTK-m.
D Pugmire, A Yenpure, M Kim, J Kress, R Maynard, H Childs, B Hentschel
EGPGV, 45-55, 2018
Comparing the Efficiency of In Situ Visualization Paradigms at Scale
J Kress, M Larsen, J Choi, M Kim, M Wolf, N Podhorszki, S Klasky, ...
International Conference on High Performance Computing, 99-117, 2019
Preparing for in situ processing on upcoming leading-edge supercomputers
J Kress, RM Churchill, S Klasky, M Kim, H Childs, D Pugmire
Supercomputing Frontiers and Innovations 3 (4), 49-65, 2016
Dynamic particle system for mesh extraction on the gpu
M Kim, G Chen, C Hansen
Proceedings of the 5th Annual Workshop on General Purpose Processing with …, 2012
Exacution: Enhancing Scientific Data Management for Exascale
S Klasky, E Suchyta, M Ainsworth, Q Liu, B Whitney, M Wolf, J Choi, ...
Distributed Computing Systems (ICDCS), 2017 IEEE 37th International …, 2017
Exacution: Enhancing Scientific Data Management for Exascale
ED Suchyta, SA Klasky, N Podhorszki, QG Liu, D Pugmire, M Ainsworth, ...
Oak Ridge National Lab.(ORNL), Oak Ridge, TN (United States), 2017
A View from ORNL: Scientific Data Research Opportunities in the Big Data Age
S Klasky, M Wolf, M Ainsworth, C Atkins, J Choi, G Eisenhauer, B Geveci, ...
2018 IEEE 38th International Conference on Distributed Computing Systems (ICDCS), 2018
Quantitatively driven visualization and analysis on emerging architectures
P McCormick, E Anderson, S Martin, C Brownlee, J Inman, M Maltrud, ...
Journal of Physics: Conference Series 125 (1), 012095, 2008
Surface flow visualization using the closest point embedding
M Kim, C Hansen
2015 IEEE Pacific Visualization Symposium (PacificVis), 17-23, 2015
Assembling large mosaics of electron microscope images using GPU
KU Venkataraju, M Kim, D Gerszewski, JR Anderson, M Hall
In Situ Visualization of Radiation Transport Geometry
M Kim, T Evans, S Klasky, D Pugmire
Proceedings of the In Situ Infrastructures on Enabling Extreme-Scale …, 2017
ADIOS 2: The Adaptable Input Output System. A framework for high-performance data management
WF Godoy, N Podhorszki, R Wang, C Atkins, G Eisenhauer, J Gu, P Davis, ...
SoftwareX 12, 100561, 2020
In Situ Analysis and Visualization of Fusion Simulations: Lessons Learned
M Kim, J Kress, J Choi, N Podhorszki, S Klasky, M Wolf, K Mehta, K Huck, ...
International Conference on High Performance Computing, 230-242, 2018
Opportunities for Cost Savings with In-Transit Visualization
J Kress, M Larsen, J Choi, M Kim, M Wolf, N Podhorszki, S Klasky, ...
International Conference on High Performance Computing, 146-165, 2020
Extending the Publish/Subscribe Abstraction for High-Performance I/O and Data Management at Extreme Scale
J Logan, M Ainsworth, C Atkins, J Chen, J Choi, J Gu, J Kress, ...
Data Engineering 35, 2020
PAVE: An In Situ Framework for Scientific Visualization and Machine Learning Coupling
S Leventhal, M Kim, D Pugmire
2019 IEEE/ACM 5th International Workshop on Data Analysis and Reduction for …, 2019
Dense Texture Flow Visualization using Data-Parallel Primitives
M Kim, S Klasky, D Pugmire
The Eurographics Association, 2018
Closest Point Sparse Octree for Surface Flow Visualization
M Kim, C Hansen
Electronic Imaging 2017 (1), 131-139, 2017
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