Tom Scogland
- Graduate Student in the Engineering/Computer Science Department
- currently majoring in Computer Science, Systems/HPC to obtain an PhD and expects to graduate in May 2012
Research Interests and Current Projects
My research primarily falls in the areas of systems and HPC, working
to make programming and debugging for HPC easier, faster, and more
efficient through systems software. To date I've worked on a system
to automatically map processes to cores to improve average performance
on multi-core processors, and have begun to move into the realm of
GPGPUs.
Publications/Technical reports
- T. Scogland, P. Balaji, W. Feng, and G. Narayanaswamy. Asymmetric Interactions in Symmetric Multi-core Systems: Analysis,
Enhancements and Evaluation. In Proceedings of the ACM/IEEE SC|08: The International Conference on
High-Performance Computing, Networking, Storage, and Analysis, Austin, Texas, USA, November 2008.
- J. Archuleta and Y. Cao and W. Feng and T. Scogland. Multi-Dimensional Characterization of Temporal Data Mining on Graphics
Processors. IEEE International Parallel and Distributed Processing Symposium, May 2009.
(Last updated: Wed May 28 15:03:02 EST 2008)