The LLNL Near and Long-Term Vision for Large-Scale Systems
Speaker:
Professor Bronis R. de Supinski, Chief Technology Officer for Livermore Computing (LC) at the Lawrence Livermore National Laboratory (LLNL).
Abstract:
Lawrence Livermore National Laboratory's (LLNL's) supercomputing center, Livermore Computing (LC), is one of the world's leading large-scale computing sites.
This talk will provide a brief overview of LC's current systems, including details of Sierra, the current number two system on the supercomputing Top500 list.
It will then detail LC's anticipated near-term systems, including El Capitan, which will be the first exascale system of the Advanced Simulation and Computing (ASC) program of the National Nuclear Security Administration (NNSA) when it is delivered in 2022 and accepted in 2023.
The talk will conclude with a brief overview of the strategies and technologies that LC is pursuing in order to ensure the continued progress of ASC capabilities as we approach the end of Moore's Law.
About the speaker:
As Chief Technology Officer (CTO) for Livermore Computing (LC) at Lawrence Livermore National Laboratory (LLNL), Professor Bronis R. de Supinski formulates LLNL's large-scale computing strategy and oversees its implementation. He frequently interacts with supercomputing leaders and oversees many collaborations with industry and academia.
Previously, Bronis led several research projects in LLNL's Center for Applied Scientific Computing. He actively continues to engage in research, particularly in parallel programming models, and serves as the Chair of the OpenMP Language Committee.
In addition to his work with LLNL, Bronis is 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 in the development of a novel scalable debugging tool.
He earned his PhD in Computer Science from the University of Virginia in 1998, and he joined LLNL in July 1998.