James Kress

Ph.D. Candidate
CIS Department
University of Oregon
Staff Computer Scientist
Oak Ridge National Laboratory

Office:203 Deschutes
Phone:+1 541.346.1371
E-mail:jkress@cs.uoregon.edu
Web Page:http://jameskress.com

Bio

James is a fourth year PhD Student in Computer Science at the University of Oregon. He also holds a concurrent role as a staff computer scientist at Oak Ridge National Laboratory, as of December 2016. His current research is focused on scientific visualization, high performance computing, and the intersection of the two, and in particular on in situ processing. He moved from Eugene to Oak Ridge in December 2016, and will finish the remainder of his Ph.D. work from ORNL.

James received his BS in 2013 from Boise State University in Computer Science, with a minor in Political Science. James received the Outstanding Graduating Senior award from the Boise State Department of Computer Science in recognition of his dedication and scholastic achievement. James spent a 15 month internship at Oak Ridge National Laboratory, where he worked closely with large-scale simulation teams to understand their workflows and find areas for improvement as part of his dissertation research. His past service has included a position on the Graduate Student Advisory Board at the University of Oregon, a student member on the University of Oregon Tuition and Fee Advisory Board, founding member then Vice President and then President of the Graduate Student Association, University of Oregon's first campus wide Graduate Student Association.

First-Author Publications


Preparing for In Situ Processing on Upcoming Leading-edge Supercomputers
James Kress, Randy Michael Churchill, Scott Klasky, Mark Kim, Hank Childs, and Dave Pugmire
Supercomputing Frontiers and Innovations, December 2016

[LINK]     [BIB]

Visualization and Analysis Requirements for In Situ Processing for a Large-Scale Fusion Simulation Code
James Kress, Dave Pugmire, Scott Klasky, and Hank Childs
SC16 Workshop on In Situ Infrastructures for Enabling Extreme-scale Analysis and Visualization (ISAV-16), Salt Lake City, UT, November 2016

[PDF]     [BIB]

Loosely Coupled In Situ Visualization: A Perspective on Why it's Here to Stay
James Kress, Scott Klasky, Norbert Podhorszki, Jong Choi, Hank Childs, and Dave Pugmire
SC15 Workshop on In Situ Infrastructures for Enabling Extreme-scale Analysis and Visualization (ISAV-15), Austin, TX, November 2015

[PDF]     [BIB]

A Visualization Pipeline for Large-Scale Tractography Data
James Kress, Erik Anderson, and Hank Childs
IEEE Symposium on Large Data Analysis and Visualization (LDAV), Chicago, IL, October 2015

[PDF]     [BIB]

A novel graphical user interface for high-efficacy modeling of human perceptual similarityopinions
James Kress, Songhua Xu, Georgia Tourassi
SPIE Medical Imaging, Orlando, FL, March 2013

[PDF]     [BIB]

Additional Publications


Performance Modeling of In Situ Rendering
Matthew Larsen, Cyrus Harrison, James Kress, 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

[PDF]     [BIB]

VTK-m: Accelerating the Visualization Toolkit for Massively Threaded Architectures
Ken Moreland, Chris Sewell, William Usher, Li-ta Lo, Jeremy Meredith, Dave Pugmire, James Kress, Hendrik Schroots, Kwan-Liu Ma, Matt Larsen, Hank Childs, Chun-Ming Chen, Robert Maynard, and Berk Geveci
Computer Graphics and Applications, May/June 2016

[LINK]     [BIB]

Visualization and Analysis for Near-Real-Time Decision Making in Distributed Workflows
David Pugmire, James Kress, Jong Choi, Scott Klasky, Tahsin Kurc, Randy Churchill, Matthew Wolf, Greg Eisenhauer, Hank Childs, Kesheng Wu, Alex Sim, Junmin Gu, and Jonathan Low
IPDPS Workshop on High Performance Data Analysis and Visualization (HPDAV), Chicago, IL, May 2016

[PDF]     [BIB]

Towards Scalable Visualization Plugins for Data Staging Workflows
David Pugmire, James Kress, Jeremy Meredith, Norbert Podhorszki, Jong Choi, and Scott Klasky
SC14 Workshop on Big Data Analytics: Challenges, and Opportunities (BDAC-14), New Orleans, LA, November 2014

[PDF]     [BIB]