CY-MATHS-IN Seminar: For What the Bell Tolls
Event Details:
- Date: Thursday, 13 February 2025
- Time: Starts: 15:00
- Venue: Connect to our live stream of the discussion, available on Zoom (Password: VsSCz1)
- Speakers: Prof. David Keyes, King Abdullah University of Science and Technology (KAUST)
CaSToRC, the HPC National Competence Centre,
invites you to the CY-MATHS-IN & SimEA Seminar Series
Abstract
With today’s exascale computers requiring 20 to 50 MW and cloud centers exceeding 100MW, computing is a significant factor in climate change. For the past three years, we have been recognized as a finalist in the Gordon Bell Prize for computations that do more with less – that scale up to high performance while squeezing out operations and data transfers that do not ultimately impact application accuracy requirements – thanks to some low-hanging, but practically significant mathematics. Indeed, computation in science and engineering has a habit of “oversolving” inherited from a period when it was small enough to neglect. Today’s market for computing hardware is driven by machine learning applications that are able to exploit lower precision arithmetic. Traditional computational science and engineering are therefore being reinvented to employ lower precision arithmetic and replacement of blocks of operator and field data by low-rank substitutes, where possible while satisfying accuracy requirements.
About the Speaker
David Keyes is a Professor of Applied Mathematics, Computer Science, and Mechanical Engineering at the King Abdullah University of Science and Technology (KAUST), where he was a founding Dean in 2009 and directed the Extreme Computing Research Center. He is also an adjunct professor of Applied Mathematics and Applied Physics at Columbia University, where he formerly held the Fu Foundation Chair. He focuses on scalable solvers that exploit hierarchy and data sparsity, targeting power-austere emerging architectures.
He collaborates on large-scale applications in energy and environment that demand high performance because of resolution, dimension, high fidelity physical models, or the “multi-solve” requirements of optimization, control, sensitivity analysis, inverse problems, data assimilation, or uncertainty quantification. To support such missions, he co-created and popularized the Newton-Krylov-Schwarz (NKS, 1994), pseudo-transient continuation (ψTC, 1998), and Additive Schwarz Preconditioned Inexact Newton (ASPIN, 2002) methods, and the Hierarchical Computations on Manycore Architectures (HiCMA, 2014) dense solver framework. Before joining KAUST, Keyes led multi-institutional scalable solver software projects in the SciDAC and ASCI programs of the US Department of Energy (DoE), ran university collaboration programs at US DoE and NASA institutes, and taught at Columbia, Old Dominion, and Yale Universities. He is a Fellow of SIAM, the AMS, and the AAAS.
He has been awarded the Gordon Bell Prize from the ACM in 1999 and in 2024, the Sidney Fernbach Award from the IEEE Computer Society in 2007, and the SIAM Prize for Distinguished Service to the Profession in 2011. On its 35th anniversary, HPCWire named Keyes one of 35 “legends” of High Performance Computing (https://www.hpcwire.com/35-hpc-legends-david-keyes/). He earned a B.S.E. in Aerospace and Mechanical Sciences from Princeton in 1978 and a Ph.D. in Applied Mathematics from Harvard in 1984.
About CY-MATHS-IN
CY-MATHS-IN is a newly established national network of academics whose research lies in the broad field of mathematical sciences and are interested in collaborative projects with industry.
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Additional Info
- Date: Thursday, 13 February 2025
- Time: Starts: 15:00
- Speaker: Prof. David Keyes, King Abdullah University of Science and Technology (KAUST)
