Matthew Larsen
Matthew Larsen
Verified email at llnl.gov
Title
Cited by
Cited by
Year
Vtk-m: Accelerating the visualization toolkit for massively threaded architectures
K Moreland, C Sewell, W Usher, L Lo, J Meredith, D Pugmire, J Kress, ...
IEEE computer graphics and applications 36 (3), 48-58, 2016
892016
The alpine in situ infrastructure: Ascending from the ashes of strawman
M Larsen, J Ahrens, U Ayachit, E Brugger, H Childs, B Geveci, C Harrison
Proceedings of the In Situ Infrastructures on Enabling Extreme-Scale†…, 2017
502017
Ray tracing within a data parallel framework
M Larsen, JS Meredith, PA NavrŠtil, H Childs
2015 ieee pacific visualization symposium (pacificvis), 279-286, 2015
292015
Strawman: A batch in situ visualization and analysis infrastructure for multi-physics simulation codes
M Larsen, E Brugger, H Childs, J Eliot, K Griffin, C Harrison
Proceedings of the First Workshop on In Situ Infrastructures for Enabling†…, 2015
272015
Performance modeling of in situ rendering
M Larsen
University of Oregon, 2017
252017
Volume Rendering Via Data-Parallel Primitives.
M Larsen, S Labasan, PA NavrŠtil, JS Meredith, H Childs
EGPGV, 53-62, 2015
222015
A flexible system for in situ triggers
M Larsen, A Woods, N Marsaglia, A Biswas, S Dutta, C Harrison, H Childs
Proceedings of the Workshop on In Situ Infrastructures for Enabling Extreme†…, 2018
112018
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
102019
Paviz: a power-adaptive framework for optimizing visualization performance
M Larsen, H Childs, B Rountree
102017
A scalable hybrid scheme for ray-casting of unstructured volume data
R Binyahib, T Peterka, M Larsen, KL Ma, H Childs
IEEE transactions on visualization and computer graphics 25 (7), 2349-2361, 2018
82018
Projecting performance data over simulation geometry using SOSflow and ALPINE
C Wood, M Larsen, A Gimenez, K Huck, C Harrison, T Gamblin, A Malony
Programming and Performance Visualization Tools, 201-218, 2017
82017
Performance impacts of in situ wavelet compression on scientific simulations
S Li, M Larsen, J Clyne, H Childs
Proceedings of the in situ infrastructures on enabling extreme-scale†…, 2017
82017
Techniques for data-parallel searching for duplicate elements
B Lessley, K Moreland, M Larsen, H Childs
2017 IEEE 7th Symposium on Large Data Analysis and Visualization (LDAV), 1-5, 2017
82017
Optimizing multi-image sort-last parallel rendering
M Larsen, K Moreland, CR Johnson, H Childs
2016 IEEE 6th Symposium on Large Data Analysis and Visualization (LDAV), 37-46, 2016
82016
Exploring tradeoffs between power and performance for a scientific visualization algorithm
S Labasan, M Larsen, H Childs
2015 IEEE 5th Symposium on Large Data Analysis and Visualization (LDAV), 73-80, 2015
82015
In situ terminology project
H Childs, SD Ahern, J Ahrens, AC Bauer, J Bennett, EW Bethel, ...
72016
Visualization for exascale: portable performance is critical
K Moreland, M Larsen, H Childs
Supercomputing Frontiers and Innovations 2 (3), 67-75, 2015
72015
Power and Performance Tradeoffs for Visualization Algorithms
S Labasan, M Larsen, H Childs, B Rountree
2019 IEEE International Parallel and Distributed Processing Symposium (IPDPS†…, 2019
32019
Interactive in situ visualization and analysis using Ascent and Jupyter
S Ibrahim, T Stitt, M Larsen, C Harrison
Proceedings of the Workshop on In Situ Infrastructures for Enabling Extreme†…, 2019
22019
Scalable In Situ Lagrangian Flow Map Extraction: Demonstrating the Viability of a Communication-Free Model
S Sane, A Yenpure, R Bujack, M Larsen, K Moreland, C Garth, H Childs
arXiv preprint arXiv:2004.02003, 2020
12020
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Articles 1–20