Matt Larsen graduated with a Ph.D. in Computer and Information Science from the University of Oregon
in December of 2016.
Prior to graduation, Matt accepted a full-time
staff computer scientist position at Lawrence Livermore National Laboratory, and he
continued in this position after graduation.
Matt started the Ph.D. program in September 2013, and began
his concurrent role at LLNL in January 2016.
His research interests include computer graphics, GPU computing, portable performance, and scientific visualization.
Matt worked on two different research grants during his time at UO.
His first project was to contribute to the NSF SI2 GraviT project,
a ray tracing library for distributed-memory parallel environments.
Through this work, he developed a portably-performant ray tracer that
was competitive with industry standard ray tracers.
This work led Matt to his second project, funded by the Department of
Energy XVis grant.
With this project, Matt explored the boundaries of portable performance.
During his time at LLNL, Matt investigated questions on in situ rendering,
which played an important role in his thesis.
Matt's research experience was enhanced by two internships:
In 2014, he worked
on renderers in the EAVL library
at Oak Ridge Laboratory with Jeremy Meredith.
Then, in 2015, he worked
on lightweight in situ visualization systems
at Lawrence Livermore Lab with Eric Brugger.
Honors and Awards
- June 2016: Submission to SC16 selected as Best Paper Finalist
- Jan. 2016: Passed UO Oral Candidacy Exam with Distinction
- June 2015: Awarded UO's J. Donald Hubbard Scholarship
- Dec. 2014: Passed UO Directed Research Project Exam with Distinction
- June 2013: Graduated magna cum laude from California State University at Sacramento with a B.S. in Computer Science
Performance Modeling of In Situ Rendering
David Pugmire, Jeremy S. Meredith,
and Hank Childs
The International Conference for High Performance Computing, Networking, Storage, and Analysis (SC16), Salt Lake City, UT, November 2016
Best Paper Finalist
Optimizing Multi-Image Sort-Last Parallel Rendering
and Hank Childs
IEEE Symposium on Large Data Analysis and Visualization (LDAV), Baltimore, MD, October 2016
Strawman - A Batch In Situ Visualization and Analysis Infrastructure for Multi-Physics Simulation Codes
and Cyrus Harrison
SC15 Workshop on In Situ Infrastructures for Enabling Extreme-scale Analysis and Visualization (ISAV-15), Austin, TX, November 2015
Volume Rendering Via Data-Parallel Primitives
Matthew Larsen, Stephanie Labasan, Paul Navratil, Jeremy Meredith, and Hank Childs
EuroGraphics Symposium on Parallel Graphics and Visualization (EGPGV), Cagliari, Italy, May 2015
Ray-Tracing Within a Data Parallel Framework
Paul Navratil, and
IEEE Pacific Visualization, Hangzhou, China, April 2015
VTK-m: Accelerating the Visualization Toolkit for Massively Threaded Architectures
Chris Sewell, William Usher, Li-ta Lo, Jeremy Meredith, Dave Pugmire,
Hendrik Schroots, Kwan-Liu Ma,
Chun-Ming Chen, Robert Maynard, and Berk Geveci
Computer Graphics and Applications, May/June 2016
Visualization for Exascale: Portable Performance is Critical
Ken Moreland, Matt Larsen, and Hank Childs
Supercomputing Frontiers and Innovations, December 2015
Exploring Tradeoffs Between Power and Performance for a Scientific Visualization Algorithm
and Hank Childs
IEEE Symposium on Large Data Analysis and Visualization (LDAV), Chicago, IL, October 2015