Matthew Larsen

39 papers A 2B 1C 2Journal 12Unranked 21

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Parallelize Over Data Particle Advection: Participation, Ping Pong Particles, and Overhead. IEEE Trans. Vis. Comput. Graph. Zhe Wang, Kenneth Moreland, Matthew Larsen, James Kress, Hank Childs, David Pugmire
2025	J	`jnl`	The ECP ALPINE project: In situ and post hoc visualization infrastructure and analysis capabilities for exascale. Int. J. High Perform. Comput. Appl. James P. Ahrens, Marco Arienti, Utkarsh Ayachit, Janine Bennett, Roba Binyahib, Ayan Biswas, Peer-Timo Bremer, Eric Brugger, Roxana Bujack, Hamish A. Carr, Jieyang Chen, Hank Childs, Soumya Dutta, Abdelilah Essiari, Berk Geveci, Cyrus Harrison, Subhashis Hazarika, Megan Hickman Fulp, Petar Hristov, Xuan Huang, Joseph A. Insley, Yuya Kawakami, Chloe Keilers, James Kress, Matthew Larsen, Dan Lipsa, Meghanto Majumder, Nicole Marsaglia, Victor A. Mateevitsi, Valerio Pascucci, John Patchett, Saumil Patel, Steve Petruzza, David Pugmire, Silvio Rizzi, David H. Rogers, Oliver Rübel, Jorge Sebastian Salinas, Sudhanshu Sane, Sergei Shudler, Alexandra Stewart, Karen C. Tsai, Terece L. Turton, Will Usher, Zhe Wang, Gunther H. Weber, Corey Wetterer-Nelson, Jonathan Woodring, Abhishek Yenpure
2024	J	`jnl`	Parallelize Over Data Particle Advection: Participation, Ping Pong Particles, and Overhead. CoRR Zhe Wang, Kenneth Moreland, Matthew Larsen, James Kress, Hank Childs, David Pugmire
2023	—	`conf`	A Distributed-Memory Parallel Approach for Volume Rendering with Shadows. LDAV Manish Mathai, Matthew Larsen, Hank Childs
2023	J	`jnl`	A Hybrid in Situ Approach for Cost Efficient Image Database Generation. IEEE Trans. Vis. Comput. Graph. Valentin Bruder, Matthew Larsen, Thomas Ertl, Hank Childs, Steffen Frey
2022	—	`conf`	Conduit: A Successful Strategy for Describing and Sharing Data In Situ. ISAV@SC Cyrus Harrison, Matthew Larsen, Brian S. Ryujin, Adam Kunen, Arlie G. Capps, Justin Privitera
2021	—	`ed.`	21st Eurographics Symposium on Parallel Graphics and Visualization, EGPGV@EuroVis 2021, Zurich, Switzerland (Virtual Conference), June 14, 2021 EGPGV@EuroVis Markus Hadwiger, Matthew Larsen, Filip Sadlo
2021	—	`conf`	Automated In Situ Computational Steering Using Ascent's Capable Yes-No Machine. ISAV@SC Margaret Lawson, Cyrus Harrison, Eric Brugger, Aaron Skinner, Matthew Larsen
2021	J	`jnl`	Evaluating adaptive and predictive power management strategies for optimizing visualization performance on supercomputers. Parallel Comput. Stephanie Brink, Matthew Larsen, Hank Childs, Barry Rountree
2021	J	`jnl`	Minimizing development costs for efficient many-core visualization using MCD Parallel Comput. Kenneth Moreland, Robert Maynard, David Pugmire, Abhishek Yenpure, Allison Vacanti, Matthew Larsen, Hank Childs
2021	—	`conf`	Scalable In Situ Computation of Lagrangian Representations via Local Flow Maps. EGPGV@EuroVis Sudhanshu Sane, Abhishek Yenpure, Roxana Bujack, Matthew Larsen, Kenneth Moreland, Christoph Garth, Chris R. Johnson, Hank Childs
2021	—	`conf`	Trigger Happy: Assessing the Viability of Trigger-Based In Situ Analysis. LDAV Matthew Larsen, Cyrus Harrison, Terece L. Turton, Sudhanshu Sane, Stephanie Brink, Hank Childs
2020	J	`jnl`	A terminology for in situ visualization and analysis systems. Int. J. High Perform. Comput. Appl. 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
2020	—	`conf`	Benchmarking In Situ Triggers Via Reconstruction Error. ISAV@SC Yuya Kawakami, Nicole Marsaglia, Matthew Larsen, Hank Childs
2020	—	`conf`	Cinema Darkroom: A Deferred Rendering Framework for Large-Scale Datasets. LDAV Jonas Lukasczyk, Christoph Garth, Matthew Larsen, Wito Engelke, Ingrid Hotz, David H. Rogers, James P. Ahrens, Ross Maciejewski
2020	J	`jnl`	Cinema Darkroom: A Deferred Rendering Framework for Large-Scale Datasets. CoRR Jonas Lukasczyk, Christoph Garth, Matthew Larsen, Wito Engelke, Ingrid Hotz, David H. Rogers, James P. Ahrens, Ross Maciejewski
2020	—	`conf`	Comparing Time-to-Solution for In Situ Visualization Paradigms at Scale. LDAV James Kress, Matthew Larsen, Jong Choi, Mark Kim, Matthew Wolf, Norbert Podhorszki, Scott Klasky, Hank Childs, David Pugmire
2020	—	`conf`	JIT's Complicated: A Comprehensive System For Derived Field Generation. ISAV@SC Seif Ibrahim, Cyrus Harrison, Matthew Larsen
2020	C	`conf`	Opportunities for Cost Savings with In-Transit Visualization. ISC James Kress, Matthew Larsen, Jong Choi, Mark Kim, Matthew Wolf, Norbert Podhorszki, Scott Klasky, Hank Childs, David Pugmire
2020	J	`jnl`	Scalable In Situ Lagrangian Flow Map Extraction: Demonstrating the Viability of a Communication-Free Model. CoRR Sudhanshu Sane, Abhishek Yenpure, Roxana Bujack, Matthew Larsen, Kenneth Moreland, Christoph Garth, Hank Childs
2019	J	`jnl`	A Scalable Hybrid Scheme for Ray-Casting of Unstructured Volume Data. IEEE Trans. Vis. Comput. Graph. Roba Binyahib, Tom Peterka, Matthew Larsen, Kwan-Liu Ma, Hank Childs
2019	C	`conf`	Comparing the Efficiency of In Situ Visualization Paradigms at Scale. ISC James Kress, Matthew Larsen, Jong Choi, Mark Kim, Matthew Wolf, Norbert Podhorszki, Scott Klasky, Hank Childs, David Pugmire
2019	—	`conf`	Dynamic I/O Budget Reallocation For In Situ Wavelet Compression. EGPGV@EuroVis Nicole Marsaglia, Shaomeng Li, Kristi Belcher, Matthew Larsen, Hank Childs
2019	A	`conf`	Power and Performance Tradeoffs for Visualization Algorithms. IPDPS Stephanie Labasan, Matthew Larsen, Hank Childs, Barry Rountree
2019	—	`conf`	When Parallel Performance Measurement and Analysis Meets In Situ Analytics and Visualization. PARCO Allen D. Malony, Matthew Larsen, Kevin A. Huck, Chad Wood, Sudhanshu Sane, Hank Childs
2018	—	`conf`	A flexible system for in situ triggers. ISAV@SC Matthew Larsen, Amy Woods, Nicole Marsaglia, Ayan Biswas, Soumya Dutta, Cyrus Harrison, Hank Childs
2017	—	`conf`	PaViz: A Power-Adaptive Framework for Optimizing Visualization Performance. EGPGV@EuroVis Stephanie Labasan, Matthew Larsen, Hank Childs, Barry Rountree
2017	—	`conf`	Performance Impacts of In Situ Wavelet Compression on Scientific Simulations. ISAV@SC Shaomeng Li, Matthew Larsen, John P. Clyne, Hank Childs
2017	—	`conf`	Projecting Performance Data over Simulation Geometry Using SOSflow and ALPINE. ESPT/VPA@SC Chad Wood, Matthew Larsen, Alfredo Giménez, Kevin A. Huck, Cyrus Harrison, Todd Gamblin, Allen D. Malony
2017	—	`conf`	Techniques for data-parallel searching for duplicate elements. LDAV Brenton Lessley, Kenneth Moreland, Matthew Larsen, Hank Childs
2017	—	`conf`	The ALPINE In Situ Infrastructure: Ascending from the Ashes of Strawman. ISAV@SC Matthew Larsen, James P. Ahrens, Utkarsh Ayachit, Eric Brugger, Hank Childs, Berk Geveci, Cyrus Harrison
2016	—	`conf`	Optimizing multi-image sort-last parallel rendering. LDAV Matthew Larsen, Kenneth Moreland, Chris R. Johnson, Hank Childs
2016	A	`conf`	Performance modeling of in situ rendering. SC Matthew Larsen, Cyrus Harrison, James Kress, David Pugmire, Jeremy S. Meredith, Hank Childs
2016	J	`jnl`	VTK-m: Accelerating the Visualization Toolkit for Massively Threaded Architectures. IEEE Computer Graphics and Applications 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
2015	—	`conf`	Exploring tradeoffs between power and performance for a scientific visualization algorithm. LDAV Stephanie Labasan, Matthew Larsen, Hank Childs
2015	B	`conf`	Ray tracing within a data parallel framework. PacificVis Matthew Larsen, Jeremy S. Meredith, Paul A. Navrátil, Hank Childs
2015	—	`conf`	Strawman: A Batch In Situ Visualization and Analysis Infrastructure for Multi-Physics Simulation Codes. ISAV@SC Matthew Larsen, Eric Brugger, Hank Childs, Jim Eliot, Kevin S. Griffin, Cyrus Harrison
2015	J	`jnl`	Visualization for Exascale: Portable Performance is Critical. Supercomput. Front. Innov. Kenneth Moreland, Matthew Larsen, Hank Childs
2015	—	`conf`	Volume Rendering Via Data-Parallel Primitives. EGPGV@EuroVis Matthew Larsen, Stephanie Labasan, Paul A. Navrátil, Jeremy S. Meredith, Hank Childs