Seminar: Efficient Computation Through Tuned Approximation
Event Details:
- Date: Thursday, 31 October 2024
- Time: Starts: 13:00
- Venue: This seminar is held as a hybrid event. You are welcome to join us at the John Ioannides Auditorium, Fresnel Building, The Cyprus Institute.
Otherwise please, connect to our live stream of the discussion, available on Zoom (Password: VsSCz1) - Speaker: Prof. David Keyes, King Abdullah University of Science and Technology (KAUST)
CaSToRC, the HPC National Competence Centre,
invites you to the EuroCC-2 Seminar Series
Abstract
Numerical software is being reinvented to provide opportunities to tune dynamically the accuracy of computation to the requirements of the application, resulting in savings of memory, time, and energy. Floating point computation in science and engineering has a history of “oversolving” relative to expectations for many models. So often are real datatypes defaulted to double precision that GPUs did not gain wide acceptance until they provided in hardware operations not required in their original domain of graphics. However, computational science is now reverting to employ lower precision arithmetic where possible.
Many matrix operations considered at a blockwise level allow for lower precision and many blocks can be approximated with low rank near equivalents. This leads to smaller memory footprint, which implies higher residency on memory hierarchies, leading in turn to less time and energy spent on data copying, which may even dwarf the savings from fewer and cheaper flops. We provide examples from several application domains, including a look at campaigns in geospatial statistics, seismic processing, genome wide association studies, and climate emulation that earned Gordon Bell Prize finalist status in 2022, 2023, and twice in 2024.
About the Speaker
Professor 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, directed the Extreme Computing Research Center, and currently serves in the Office of the President. He is also an adjunct professor of Applied Mathematics and Applied Physics at Columbia University, where he formerly held the Fu Foundation Chair. He works at the interfaces of parallel computing with PDEs and statistics, with a focus on scalable algorithms that exploit data sparsity. He is known for the development of scalable nonlinearly implicit Newton-Krylov-Schwarz algebraic solvers and the nonlinear preconditioning methods ASPIN and NEPIN, which have recently migrated from PDEs to NNs.
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, the Sidney Fernbach Award from the IEEE Computer Society, and the SIAM Prize for Distinguished Service to the Profession. On its 35th anniversary, HPCWire named Keyes one of 35 “legends” of High Performance Computing. 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 the EuroCC-2 project
EuroCC 2 will work to identify and address the skills gaps in the European High Performance Computing (HPC) ecosystem and coordinate cooperation across Europe to ensure a consistent skills base.
The role of EuroCC 2 is to establish and run a network of more than 30 NCCs across the EuroHPC Participating States. The NCCs act as single points of access in each country between stakeholders and national and EuroHPC systems. They operate on a regional and national level to liaise with local communities, in particular SMEs, map HPC competencies and facilitate access to European HPC resources for users from the private and public sector.
EuroCC 2 delivers training, interacts with industry, develops competence mapping and communication materials and activities, and supports the adoption of HPC services in other related fields, such as quantum computing, artificial intelligence (AI), high performance data analytics (HPDA) to expand the HPC user base.
This project has received funding from the European High-Performance Computing Joint Undertaking (JU) under grant agreement No 101101903. The JU receives support from the European Union’s programme Digital Europe and Germany, Bulgaria, Austria, Croatia, Cyprus, Czech Republic, Denmark, Estonia, Finland, Greece, Hungary, Ireland, Italy, Lithuania, Latvia, Poland, Portugal, Romania, Slovenia, Spain, Sweden, France, Netherlands, Belgium, Luxembourg , Slovakia, Norway, Switzerland, Turkey, the Republic of North Macedonia, Iceland, Montenegro and Serbia.
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Additional Info
- Date: Thursday, 31 October 2024
- Time: Starts: 13:00
- Speaker: Prof. David Keyes, King Abdullah University of Science and Technology (KAUST)
