High Performance Computing at Lawrence Livermore National Laboratory
Speaker:
Professor Bronis R. de Supinski, Chief Technology Officer for Livermore Computing (LC) at the Lawrence Livermore National Laboratory (LLNL).
Topic:
Bronis will discuss high performance computing and his work at the Lawrence Livermore National Laboratory in California, U.S.
About the speaker:
Bronis R. de Supinski is the Chief Technology Officer (CTO) for Livermore Computing (LC) at Lawrence Livermore National Laboratory (LLNL). In this role, he is responsible for formulating LLNL's large-scale computing strategy and overseeing its implementation. His position requires frequent interaction with high performance computing (HPC) leaders and he oversees several collaborations with the HPC industry as well as academia.
Prior to becoming CTO for LC, Bronis led several research projects in LLNL's Center for Applied Scientific Computing (CASC). Most recently, he led the Exascale Computing Technologies (ExaCT) project and co-led the Advanced Scientific Computing (ASC) program's Application Development Environment and Performance Team (ADEPT). ADEPT is responsible for the development environment, including compilers, tools and run time systems, on LLNL's large-scale systems. ExaCT explored several critical directions related to programming models, algorithms, performance, code correctness and resilience for future large scale systems. He currently continues his interests in these topics, particularly programming models, and serves as the Chair of the OpenMP Language Committee.
Bronis earned his Ph.D. in Computer Science from the University of Virginia in 1998 and he joined CASC in July 1998. In addition to his work with LLNL. Bronis is also a Professor of Exascale Computing at Queen's University of Belfast and an Adjunct Associate Professor in the Department of Computer Science and Engineering at Texas A&M University.
Throughout his career, Bronis has won several awards, including the prestigious Gordon Bell Prize in 2005 and 2006, as well as an R&D 100 for his leadership of a team that developed a novel scalable debugging tool. He is a member of the ACM and the IEE Computer Society.