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Matthew Larsen
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2020 – today
- 2023
- [j7]Valentin Bruder
, Matthew Larsen, Thomas Ertl
A Hybrid in Situ Approach for Cost Efficient Image Database Generation. IEEE Trans. Vis. Comput. Graph. 29(9): 3788-3798 (2023) - [c26]Manish Mathai, Matthew Larsen, Hank Childs:
A Distributed-Memory Parallel Approach for Volume Rendering with Shadows. LDAV 2023: 22-31 - 2022
- [c25]Cyrus Harrison, Matthew Larsen, Brian S. Ryujin, Adam Kunen, Arlie G. Capps, Justin Privitera:
Conduit: A Successful Strategy for Describing and Sharing Data In Situ. ISAV@SC 2022: 1-6 - 2021
- [j6]Stephanie Brink
Evaluating adaptive and predictive power management strategies for optimizing visualization performance on supercomputers. Parallel Comput. 104-105: 102782 (2021) - [j5]Kenneth Moreland
Minimizing development costs for efficient many-core visualization using MCD3. Parallel Comput. 108: 102834 (2021) - [c24]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 - [c23]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 - [c22]Margaret Lawson, Cyrus Harrison, Eric Brugger, Aaron Skinner, Matthew Larsen:
Automated In Situ Computational Steering Using Ascent's Capable Yes-No Machine. ISAV@SC 2021: 24-30 - [e1]Markus Hadwiger, Matthew Larsen, Filip Sadlo
21st Eurographics Symposium on Parallel Graphics and Visualization, EGPGV@EuroVis 2021, Zurich, Switzerland (Virtual Conference), June 14, 2021. Eurographics Association 2021, ISBN 978-3-03868-138-0 [contents] - 2020
- [j4]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
A terminology for in situ visualization and analysis systems. Int. J. High Perform. Comput. Appl. 34(6) (2020) - [c21]James Kress, Matthew Larsen, Jong Choi, Mark Kim, Matthew Wolf, Norbert Podhorszki, Scott Klasky, Hank Childs, David Pugmire:
Comparing Time-to-Solution for In Situ Visualization Paradigms at Scale. LDAV 2020: 22-26 - [c20]Jonas Lukasczyk, Christoph Garth
Cinema Darkroom: A Deferred Rendering Framework for Large-Scale Datasets. LDAV 2020: 37-41 - [c19]Seif Ibrahim, Cyrus Harrison, Matthew Larsen:
JIT's Complicated: A Comprehensive System For Derived Field Generation. ISAV@SC 2020: 27-31 - [c18]Yuya Kawakami, Nicole Marsaglia, Matthew Larsen, Hank Childs:
Benchmarking In Situ Triggers Via Reconstruction Error. ISAV@SC 2020: 38-43 - [c17]James Kress, Matthew Larsen, Jong Choi, Mark Kim, Matthew Wolf, Norbert Podhorszki
Opportunities for Cost Savings with In-Transit Visualization. ISC 2020: 146-165 - [i2]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) - [i1]Jonas Lukasczyk, Christoph Garth, Matthew Larsen, Wito Engelke, Ingrid Hotz, David H. Rogers, James P. Ahrens, Ross Maciejewski:
Cinema Darkroom: A Deferred Rendering Framework for Large-Scale Datasets. CoRR abs/2010.03936 (2020)
2010 – 2019
- 2019
- [j3]Roba Binyahib
A Scalable Hybrid Scheme for Ray-Casting of Unstructured Volume Data. IEEE Trans. Vis. Comput. Graph. 25(7): 2349-2361 (2019) - [c16]Nicole Marsaglia, Shaomeng Li, Kristi Belcher, Matthew Larsen, Hank Childs:
Dynamic I/O Budget Reallocation For In Situ Wavelet Compression. EGPGV@EuroVis 2019: 1-5 - [c15]Stephanie Labasan, Matthew Larsen, Hank Childs, Barry Rountree:
Power and Performance Tradeoffs for Visualization Algorithms. IPDPS 2019: 325-334 - [c14]Allen D. Malony, Matthew Larsen, Kevin A. Huck
When Parallel Performance Measurement and Analysis Meets In Situ Analytics and Visualization. PARCO 2019: 521-530 - [c13]James Kress, Matthew Larsen, Jong Choi, Mark Kim, Matthew Wolf, Norbert Podhorszki
Comparing the Efficiency of In Situ Visualization Paradigms at Scale. ISC 2019: 99-117 - 2018
- [c12]Matthew Larsen, Amy Woods, Nicole Marsaglia, Ayan Biswas
A flexible system for in situ triggers. ISAV@SC 2018: 1-6 - 2017
- [c11]Stephanie Labasan, Matthew Larsen, Hank Childs, Barry Rountree:
PaViz: A Power-Adaptive Framework for Optimizing Visualization Performance. EGPGV@EuroVis 2017: 1-10 - [c10]Brenton Lessley, Kenneth Moreland, Matthew Larsen, Hank Childs:
Techniques for data-parallel searching for duplicate elements. LDAV 2017: 1-5 - [c9]Shaomeng Li, Matthew Larsen, John P. Clyne
Performance Impacts of In Situ Wavelet Compression on Scientific Simulations. ISAV@SC 2017: 37-41 - [c8]Matthew Larsen, James P. Ahrens
The ALPINE In Situ Infrastructure: Ascending from the Ashes of Strawman. ISAV@SC 2017: 42-46 - [c7]Chad Wood, Matthew Larsen, Alfredo Giménez, Kevin A. Huck
Projecting Performance Data over Simulation Geometry Using SOSflow and ALPINE. ESPT/VPA@SC 2017: 201-218 - 2016
- [j2]Kenneth Moreland, Christopher M. Sewell, William Usher
VTK-m: Accelerating the Visualization Toolkit for Massively Threaded Architectures. IEEE Computer Graphics and Applications 36(3): 48-58 (2016) - [c6]Matthew Larsen, Kenneth Moreland, Chris R. Johnson, Hank Childs:
Optimizing multi-image sort-last parallel rendering. LDAV 2016: 37-46 - [c5]Matthew Larsen, Cyrus Harrison, James Kress, David Pugmire, Jeremy S. Meredith, Hank Childs:
Performance modeling of in situ rendering. SC 2016: 276-287 - 2015
- [j1]Kenneth Moreland, Matthew Larsen, Hank Childs:
Visualization for Exascale: Portable Performance is Critical. Supercomput. Front. Innov. 2(3): 67-75 (2015) - [c4]Matthew Larsen, Jeremy S. Meredith, Paul A. Navrátil
Ray tracing within a data parallel framework. PacificVis 2015: 279-286 - [c3]Matthew Larsen, Stephanie Labasan, Paul A. Navrátil
Volume Rendering Via Data-Parallel Primitives. EGPGV@EuroVis 2015: 53-62 - [c2]Stephanie Labasan, Matthew Larsen, Hank Childs:
Exploring tradeoffs between power and performance for a scientific visualization algorithm. LDAV 2015: 73-80 - [c1]Matthew Larsen, Eric Brugger, Hank Childs, Jim Eliot, Kevin S. Griffin
Strawman: A Batch In Situ Visualization and Analysis Infrastructure for Multi-Physics Simulation Codes. ISAV@SC 2015: 30-35
Coauthor Index
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