OSCER
OU Supercomputing Center for Education & Research

Oklahoma
Supercomputing Symposium 2003

Wednesday September 24 -
Thursday September 25 2003
at the University of Oklahoma


Dr. John (Jay) R. Boisseau
Director, Texas Advanced Computing Center
University of Texas at Austin

Jay Boisseau

After graduating with a degree in astronomy and physics from the University of Virginia in 1986, Jay Boisseau obtained his doctorate in astronomy at the University of Texas at Austin, where he specialized in modeling the dynamics of Type Ia supernovae using Cray vector supercomputers. While completing his doctoral research, Dr. Boisseau worked in user support at the Arctic Region Supercomputing Center (ARSC) in Fairbanks, Alaska. In 1996, he joined the San Diego Supercomputer Center (SDSC) to continue his career in high performance computing. At SDSC, Dr. Boisseau became an Associate Director and created the Scientific Computing Department, with groups specializing in performance optimization, performance modeling, parallel tools development, and Grid portals development. He led several major SDSC projects for the National Partnership for Advanced Computational Infrastructure (NPACI) and also led SDSC's participation in the Department of Defense (DoD) Programming Environments and Training (PET) program. Dr. Boisseau also founded the IBM Scientific Computing User Group while at SDSC.

Dr. Boisseau returned to UT Austin in June 2001 to become the director of the Texas Advanced Computing Center (TACC). He is developing a strong research and development program at TACC while enhancing the computational capabilities and coordinating the development of a campus Grid. TACC is a resource partner in NPACI, so Dr. Boisseau continues to participate in that program as well as the DoD PET program. He also leads UT Austin's involvement in the High Performance Computing Across Texas (HiPCAT) consortium. His current professional interests include performance characteristics of high-end computing systems and the development of Grid technologies for computational science.


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