William T.C. Kramer is the Principal Investigator and Director for the Blue Waters Leadership Computing Project at the National Center for Supercomputing Applications. Blue Waters is a National Science Foundation-funded project, to deploy the first general purpose, open science, Leadership supercomputer as a powerful resource for the nation's researchers. Kramer's accomplishments are deploying and operating extreme-scale computational systems, data systems, best of class facilities and leading intense, high visibility projects. He has substantial and sustained expertise managing world class, trend-setting organizations, a commitment to excellence, a record of fostering the education and development of the next generation of researchers and leaders and a track record for building sustained collaborations and relationships.
Kramer is a full Research Professor in the University of Illinois at Urbana Champaign Computer Science Department pursuing research in system performance evaluation, large scale resiliency and reliability and system resource management.
Previously Kramer was the general manager of the National Energy Research Scientific Computing Center (NERSC), the flagship computing facility of the Department of Energy's Office of Science at Lawrence Berkeley National Laboratory (LBNL). Prior to Berkeley Lab, Kramer worked at the NASA Ames Research Center, where he was responsible for all aspects of operations and customer support for NASA's Numerical Aerodynamic Simulator (NAS) supercomputer center and other large computational projects as well as starting a major Air Traffic Control Program. He worked at the University of Delaware and Inland Steel Corporation.
Blue Waters will be the 20th supercomputer Kramer deployed and/or manages. Several were first of their kind, including the world's first production UNIX supercomputer and the first production quality massively parallel system. In addition, he deployed and managed large clusters of workstations, five extremely large data repositories, some of the world's most intense networks, and other extreme scale systems. He has also been involved with the design, creation and commissioning of six "best of class" HPC facilities.
He holds a BS and MS in computer science from Purdue University, an ME in electrical engineering from the University of Delaware, a PhD in computer science at UC Berkeley.
Scientific Visualization & Data Analytics Showcase
HPC Community Collaboration
Machine Learning and Artificial Intelligence
Resource Management and Scheduling