Patrick M. Widener, PhD

Dr. Widener's research interests include experimental systems, I/O and storage software for large-data environments, middleware, and the generation and use of metadata.  Dr. Widener received his Ph.D. in Computer Science from the Georgia Institute of Technology in 2005, and before coming to CCI was Research Assistant Professor in the Department of Computer Science at the University of New Mexico.  Prior to beginning his Ph.D. studies, he was employed as a software developer by several companies which no longer exist.  He also holds a Master of Computer Science degree from the University of Virginia (1992), and a Bachelor of Science in Computer Science from James Madison University (1990).

Selected Publications:

Patrick M. Widener, Matthew Wolf, Hasan Abbasi, Scott McManus, Mary Payne, Patrick G. Bridges, Karsten Schwan, Jack Pullikottil and Matthew Barrick. 'Exploiting Latent I/O Asynchrony in Petascale Science Applications'. In International Journal of High Performance Computing, 2010. Accepted for publication (in revision)

Patrick M. Widener, Matthew Wolf, Hasan Abbasi, Scott McManus, Mary Payne, Patrick G. Bridges and Karsten Schwan. "Exploiting Latent I/O Asynchrony in Petascale Science Applications". In Proceedings of the 2nd International Workshop on Parallel Programming Models and Systems Software for High-End Computing (P2S2), Vienna, Austria, September, 2009. Held in conjunction with ICPP 2009.

Ron A. Oldfield, Arthur B. Maccabe, Sarala Arunagiri, Todd Kordenbrock, Rolf Riesen, Lee Ward and Patrick Widener. "Lightweight I/O for Scientific Applications". In Proc. 2006 IEEE Conference on Cluster Computing, Barcelona, Spain, September, 2006.

Jiantao Kong, Karsten Schwan and Patrick Widener. "Protected Data Paths: Delivering Sensitive Data via Untrusted Proxies". In Proc. 2006 International Conference on Privacy, Security and Trust (PST 2006), Ontario, Canada, October, 2006.

Patrick Widener, Greg Eisenhauer, Karsten Schwan and Fabian E. Bustamante. 'Open Metadata Formats: Efficient XML-Based Communication for High-Performance Computing'. In Cluster Computing: The Journal of Networks, Software Tools, and Applications (5), 2002, pp.315-324. Invited submission.

Ron Oldfield, Todd Kordenbrock and Patrick M. Widener. "Data-Movement Approaches for High Performance Computing Storage Systems" in Attaining High Performance Communications: A Vertical Approach, Ada Gavrilovska (ed.), CRC Press, 2009.