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2020 – today
- 2021
[j6]Stephanie Brink
, Matthew Larsen, Hank Childs, Barry Rountree:
Evaluating adaptive and predictive power management strategies for optimizing visualization performance on supercomputers. Parallel Comput. 104-105: 102782 (2021)- [j5]Kenneth Moreland, Robert Maynard, David Pugmire, Abhishek Yenpure, Allison Vacanti, Matthew Larsen, Hank Childs:
Minimizing development costs for efficient many-core visualization using MCD3. Parallel Comput. 108: 102834 (2021) - [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 - 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, 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:
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, Matthew Larsen, Wito Engelke, Ingrid Hotz, David H. Rogers, James P. Ahrens, Ross Maciejewski:
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, Scott Klasky, Hank Childs, David Pugmire:
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, Tom Peterka, Matthew Larsen, Kwan-Liu Ma, Hank Childs:
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, Chad Wood, Sudhanshu Sane, Hank Childs:
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, Scott Klasky, Hank Childs, David Pugmire:
Comparing the Efficiency of In Situ Visualization Paradigms at Scale. ISC 2019: 99-117 - 2018
- [c12]Matthew Larsen, Amy Woods, Nicole Marsaglia, Ayan Biswas, Soumya Dutta, Cyrus Harrison, Hank Childs:
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, Hank Childs:
Performance Impacts of In Situ Wavelet Compression on Scientific Simulations. ISAV@SC 2017: 37-41 - [c8]Matthew Larsen, James P. Ahrens, Utkarsh Ayachit, Eric Brugger, Hank Childs, Berk Geveci, Cyrus Harrison:
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, Cyrus Harrison, Todd Gamblin, Allen D. Malony:
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, Li-Ta Lo, Jeremy S. Meredith, David Pugmire, James Kress, Hendrik A. Schroots, Kwan-Liu Ma, Hank Childs, Matthew Larsen, Chun-Ming Chen, Robert Maynard, Berk Geveci:
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, Hank Childs:
Ray tracing within a data parallel framework. PacificVis 2015: 279-286 - [c3]Matthew Larsen, Stephanie Labasan, Paul A. Navrátil, Jeremy S. Meredith, Hank Childs:
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 Griffin, Cyrus Harrison:
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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