Matthew Larsen

According to our database, Matthew Larsen authored at least 35 papers between 2015 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Parallelize Over Data Particle Advection: Participation, Ping Pong Particles, and Overhead.

Zhe Wang, Kenneth Moreland, Matthew Larsen, James Kress, Hank Childs, David Pugmire

CoRR, 2024

2023

A Hybrid in Situ Approach for Cost Efficient Image Database Generation.

Valentin Bruder, Matthew Larsen, Thomas Ertl, Hank Childs, Steffen Frey

IEEE Trans. Vis. Comput. Graph., 2023

A Distributed-Memory Parallel Approach for Volume Rendering with Shadows.

Manish Mathai, Matthew Larsen, Hank Childs

Proceedings of the 13th IEEE Symposium on Large Data Analysis and Visualization, 2023

2022

Conduit: A Successful Strategy for Describing and Sharing Data In Situ.

Cyrus Harrison, Matthew Larsen, Brian S. Ryujin, Adam Kunen, Arlie G. Capps, Justin Privitera

Proceedings of the IEEE/ACM International Workshop on In Situ Infrastructures for Enabling Extreme-Scale Analysis and Visualization, 2022

2021

Minimizing development costs for efficient many-core visualization using MCD³.

Kenneth Moreland, Robert Maynard, David Pugmire, Abhishek Yenpure, Allison Vacanti, Matthew Larsen, Hank Childs

Parallel Comput., 2021

Evaluating adaptive and predictive power management strategies for optimizing visualization performance on supercomputers.

Stephanie Brink, Matthew Larsen, Hank Childs, Barry Rountree

Parallel Comput., 2021

Automated In Situ Computational Steering Using Ascent's Capable Yes-No Machine.

Margaret Lawson, Cyrus Harrison, Eric Brugger, Aaron Skinner, Matthew Larsen

Proceedings of the ISAV@SC 21: In Situ Infrastructures for Enabling Extreme-Scale Analysis and Visualization, 2021

Trigger Happy: Assessing the Viability of Trigger-Based In Situ Analysis.

Matthew Larsen, Cyrus Harrison, Terece L. Turton, Sudhanshu Sane, Stephanie Brink, Hank Childs

Proceedings of the 11th IEEE Symposium on Large Data Analysis and Visualization, 2021

Scalable In Situ Computation of Lagrangian Representations via Local Flow Maps.

Sudhanshu Sane, Abhishek Yenpure, Roxana Bujack, Matthew Larsen, Kenneth Moreland, Christoph Garth, Chris R. Johnson, Hank Childs

Proceedings of the 21st Eurographics Symposium on Parallel Graphics and Visualization, 2021

2020

A terminology for in situ visualization and analysis systems.

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

Int. J. High Perform. Comput. Appl., 2020

Scalable In Situ Lagrangian Flow Map Extraction: Demonstrating the Viability of a Communication-Free Model.

Sudhanshu Sane, Abhishek Yenpure, Roxana Bujack, Matthew Larsen, Kenneth Moreland, Christoph Garth, Hank Childs

CoRR, 2020

Opportunities for Cost Savings with In-Transit Visualization.

James Kress, Matthew Larsen, Jong Choi, Mark Kim, Matthew Wolf, Norbert Podhorszki, Scott Klasky, Hank Childs, David Pugmire

Proceedings of the High Performance Computing - 35th International Conference, 2020

Benchmarking In Situ Triggers Via Reconstruction Error.

Yuya Kawakami, Nicole Marsaglia, Matthew Larsen, Hank Childs

Proceedings of the ISAV@SC 2020: ISAV'20 In Situ Infrastructures for Enabling Extreme-Scale Analysis and Visualization, 2020

JIT's Complicated: A Comprehensive System For Derived Field Generation.

Seif Ibrahim, Cyrus Harrison, Matthew Larsen

Proceedings of the ISAV@SC 2020: ISAV'20 In Situ Infrastructures for Enabling Extreme-Scale Analysis and Visualization, 2020

Cinema Darkroom: A Deferred Rendering Framework for Large-Scale Datasets.

Jonas Lukasczyk, Christoph Garth, Matthew Larsen, Wito Engelke, Ingrid Hotz, David H. Rogers, James P. Ahrens, Ross Maciejewski

Proceedings of the 10th IEEE Symposium on Large Data Analysis and Visualization, 2020

Comparing Time-to-Solution for In Situ Visualization Paradigms at Scale.

James Kress, Matthew Larsen, Jong Choi, Mark Kim, Matthew Wolf, Norbert Podhorszki, Scott Klasky, Hank Childs, David Pugmire

Proceedings of the 10th IEEE Symposium on Large Data Analysis and Visualization, 2020

2019

A Scalable Hybrid Scheme for Ray-Casting of Unstructured Volume Data.

Roba Binyahib, Tom Peterka, Matthew Larsen, Kwan-Liu Ma, Hank Childs

IEEE Trans. Vis. Comput. Graph., 2019

Comparing the Efficiency of In Situ Visualization Paradigms at Scale.

James Kress, Matthew Larsen, Jong Choi, Mark Kim, Matthew Wolf, Norbert Podhorszki, Scott Klasky, Hank Childs, David Pugmire

Proceedings of the High Performance Computing - 34th International Conference, 2019

When Parallel Performance Measurement and Analysis Meets In Situ Analytics and Visualization.

Allen D. Malony, Matthew Larsen, Kevin A. Huck, Chad Wood, Sudhanshu Sane, Hank Childs

Proceedings of the Parallel Computing: Technology Trends, 2019

Power and Performance Tradeoffs for Visualization Algorithms.

Stephanie Labasan, Matthew Larsen, Hank Childs, Barry Rountree

Proceedings of the 2019 IEEE International Parallel and Distributed Processing Symposium, 2019

Dynamic I/O Budget Reallocation For In Situ Wavelet Compression.

Nicole Marsaglia, Shaomeng Li, Kristi Belcher, Matthew Larsen, Hank Childs

Proceedings of the 19th Eurographics Symposium on Parallel Graphics and Visualization, 2019

2018

A flexible system for in situ triggers.

Matthew Larsen, Amy Woods, Nicole Marsaglia, Ayan Biswas, Soumya Dutta, Cyrus Harrison, Hank Childs

Proceedings of the Workshop on In Situ Infrastructures for Enabling Extreme-Scale Analysis and Visualization, 2018

2017

Projecting Performance Data over Simulation Geometry Using SOSflow and ALPINE.

Chad Wood, Matthew Larsen, Alfredo Giménez, Kevin A. Huck, Cyrus Harrison, Todd Gamblin, Allen D. Malony

Proceedings of the Programming and Performance Visualization Tools, 2017

Performance Impacts of In Situ Wavelet Compression on Scientific Simulations.

Shaomeng Li, Matthew Larsen, John P. Clyne, Hank Childs

Proceedings of the In Situ Infrastructures on Enabling Extreme-Scale Analysis and Visualization, 2017

The ALPINE In Situ Infrastructure: Ascending from the Ashes of Strawman.

Matthew Larsen, James P. Ahrens, Utkarsh Ayachit, Eric Brugger, Hank Childs, Berk Geveci, Cyrus Harrison

Proceedings of the In Situ Infrastructures on Enabling Extreme-Scale Analysis and Visualization, 2017

Techniques for data-parallel searching for duplicate elements.

Brenton Lessley, Kenneth Moreland, Matthew Larsen, Hank Childs

Proceedings of the 7th IEEE Symposium on Large Data Analysis and Visualization, 2017

PaViz: A Power-Adaptive Framework for Optimizing Visualization Performance.

Stephanie Labasan, Matthew Larsen, Hank Childs, Barry Rountree

Proceedings of the 17th Eurographics Symposium on Parallel Graphics and Visualization, 2017

2016

VTK-m: Accelerating the Visualization Toolkit for Massively Threaded Architectures.

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

IEEE Computer Graphics and Applications, 2016

Performance modeling of in situ rendering.

Matthew Larsen, Cyrus Harrison, James Kress, David Pugmire, Jeremy S. Meredith, Hank Childs

Proceedings of the International Conference for High Performance Computing, 2016

Optimizing multi-image sort-last parallel rendering.

Matthew Larsen, Kenneth Moreland, Chris R. Johnson, Hank Childs

Proceedings of the 6th IEEE Symposium on Large Data Analysis and Visualization, 2016

2015

Visualization for Exascale: Portable Performance is Critical.

Kenneth Moreland, Matthew Larsen, Hank Childs

Supercomput. Front. Innov., 2015

Strawman: A Batch In Situ Visualization and Analysis Infrastructure for Multi-Physics Simulation Codes.

Matthew Larsen, Eric Brugger, Hank Childs, Jim Eliot, Kevin S. Griffin, Cyrus Harrison

Proceedings of the First Workshop on In Situ Infrastructures for Enabling Extreme-Scale Analysis and Visualization, 2015

Exploring tradeoffs between power and performance for a scientific visualization algorithm.

Stephanie Labasan, Matthew Larsen, Hank Childs

Proceedings of the 5th IEEE Symposium on Large Data Analysis and Visualization, 2015

Volume Rendering Via Data-Parallel Primitives.

Matthew Larsen, Stephanie Labasan, Paul A. Navrátil, Jeremy S. Meredith, Hank Childs

Proceedings of the 15th Eurographics Symposium on Parallel Graphics and Visualization, 2015

Ray tracing within a data parallel framework.

Matthew Larsen, Jeremy S. Meredith, Paul A. Navrátil, Hank Childs

Proceedings of the 2015 IEEE Pacific Visualization Symposium, 2015