Basser Seminar Series

SEQUOIA TO SIERRA: THE LLNL STRATEGY

Speaker: Dr Bronis R. de Supinski
Lawrence Livermore National Laboratory

When: Monday 1 February, 2016 , 2:00pm-4:00pm Please note different day and time to usual.

Where: The University of Sydney, School of IT Building, SIT Lecture Theatre (Room 123), Level 1

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Abstract

Lawrence Livermore National Laboratory (LLNL) has a long history of leadership in large-scale computing. Our current platform, Sequoia, is a 96 rack BlueGene/Q system that is currently number three on the Top 500 list. Our next platform, Sierra, will be a heterogeneous system delivered by a partnership between IBM, NVIDIA and Mellanox. While the platforms are diverse, they represent a carefully considered strategy. In this talk, we will compare and contrast these platforms and the applications that run on them, and provide a glimpse into LLNL's strategy beyond Sierra.

Speaker's biography

Lawrence Livermore National Laboratory (LLNL) has a long history of leadership in large-scale computing. Our current platform, Sequoia, is a 96 rack BlueGene/Q system that is currently number three on the Top 500 list. Our next platform, Sierra, will be a heterogeneous system delivered by a partnership between IBM, NVIDIA and Mellanox. While the platforms are diverse, they represent a carefully considered strategy. In this talk, we will compare and contrast these platforms and the applications that run on them, and provide a glimpse into LLNL's strategy beyond Sierra.

Prior to becoming CTO for LC, Bronis led several research projects in LLNL's Center for Applied Scientific Computing. 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 IEEE Computer Society.