Matthew Larsen

Publication Activity (10 Years)

Years Active: 2015-2023
Publications (10 Years): 35

Top Topics

Virtual Colonoscopy

Wavelet Compression

Interactive Visualizations

Top Venues

Publications

Manish Mathai, Matthew Larsen, Hank Childs
A Distributed-Memory Parallel Approach for Volume Rendering with Shadows. LDAV (2023)
Valentin Bruder, Matthew Larsen, Thomas Ertl, Hank Childs, Steffen Frey
A Hybrid in Situ Approach for Cost Efficient Image Database Generation. IEEE Trans. Vis. Comput. Graph. 29 (9) (2023)
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)
Kenneth Moreland, Robert Maynard, David Pugmire, Abhishek Yenpure, Allison Vacanti, Matthew Larsen, Hank Childs
. Parallel Comput. 108 (2021)
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)
Stephanie Brink, Matthew Larsen, Hank Childs, Barry Rountree
Evaluating adaptive and predictive power management strategies for optimizing visualization performance on supercomputers. Parallel Comput. (2021)
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)
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)
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)
Yuya Kawakami, Nicole Marsaglia, Matthew Larsen, Hank Childs
Benchmarking In Situ Triggers Via Reconstruction Error. ISAV@SC (2020)
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 (2020)
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)
Seif Ibrahim, Cyrus Harrison, Matthew Larsen
JIT's Complicated: A Comprehensive System For Derived Field Generation. ISAV@SC (2020)
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 (2020)
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)
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)
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)
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)
Stephanie Labasan, Matthew Larsen, Hank Childs, Barry Rountree
Power and Performance Tradeoffs for Visualization Algorithms. IPDPS (2019)
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) (2019)
Nicole Marsaglia, Shaomeng Li, Kristi Belcher, Matthew Larsen, Hank Childs
Dynamic I/O Budget Reallocation For In Situ Wavelet Compression. EGPGV@EuroVis (2019)
Matthew Larsen, Amy Woods, Nicole Marsaglia, Ayan Biswas, Soumya Dutta, Cyrus Harrison, Hank Childs
A flexible system for in situ triggers. ISAV@SC (2018)
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)
Brenton Lessley, Kenneth Moreland, Matthew Larsen, Hank Childs
Techniques for data-parallel searching for duplicate elements. LDAV (2017)
Stephanie Labasan, Matthew Larsen, Hank Childs, Barry Rountree
PaViz: A Power-Adaptive Framework for Optimizing Visualization Performance. EGPGV@EuroVis (2017)
Shaomeng Li, Matthew Larsen, John P. Clyne, Hank Childs
Performance Impacts of In Situ Wavelet Compression on Scientific Simulations. ISAV@SC (2017)
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)
Matthew Larsen, Cyrus Harrison, James Kress, David Pugmire, Jeremy S. Meredith, Hank Childs
Performance modeling of in situ rendering. SC (2016)
Matthew Larsen, Kenneth Moreland, Chris R. Johnson, Hank Childs
Optimizing multi-image sort-last parallel rendering. LDAV (2016)
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) (2016)
Kenneth Moreland, Matthew Larsen, Hank Childs
Visualization for Exascale: Portable Performance is Critical. Supercomput. Front. Innov. 2 (3) (2015)
Matthew Larsen, Stephanie Labasan, Paul A. Navrátil, Jeremy S. Meredith, Hank Childs
Volume Rendering Via Data-Parallel Primitives. EGPGV@EuroVis (2015)
Matthew Larsen, Jeremy S. Meredith, Paul A. Navrátil, Hank Childs
Ray tracing within a data parallel framework. PacificVis (2015)
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)
Stephanie Labasan, Matthew Larsen, Hank Childs
Exploring tradeoffs between power and performance for a scientific visualization algorithm. LDAV (2015)