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Advancing Computational Science with High-Order Finite Elements

Webinars

Dr. Tzanio Kolev, Lawrence Livermore National Laboratory

Wednesday, February 12, 2025, 4:00-4:40 pm UTC (30 min talk + 10 min questions)
8 am PST / 10 am CST / 11 am EST / 4  pm UTC / 5 pm CET / 1 am JST (Feb 13)

Participation is free, but registration is required
Registration link: siam.zoom.us/webinar/register/WN_Tgb2dUwqRUeiQ0r7tUriqA

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Abstract:

The demand for modeling and simulation in large-scale computational science has consistently driven the development of new numerical algorithms that are tailored to new architectures. For example, exascale architectures favor algorithms, such as high-order finite elements, that expose fine-grain parallelism and maximize the ratio of floating-point operations to energy intensive data movement. In this talk we review recent work on GPU-oriented algorithms and software for high-order meshing, discretizations and solvers, and demonstrate their impact in several large-scale applications from the US Department of Energy.

Bio:

Tzanio Kolev is a computational mathematician at the Center for Applied Scientific Computing of Lawrence Livermore National Laboratory (LLNL) where he works on finite element meshing, discretizations and solver algorithms for large-scale HPC applications. He joined LLNL in 2004 after earning a Ph.D. in Mathematics from Texas A&M University. Tzanio is the project leader for the MFEM finite element library and was the director of the co-design Center for Efficient Exascale Discretizations (CEED) in DOE's Exascale Computing Project (ECP). Tzanio’s research interests include the development and analysis of finite element discretizations, high-order methods and applications, performance optimizations and scalability, discretization-enhanced multigrid solvers, and the design and implementation of large-scale scientific software.

Tzanio Kolev, Lawrence Livermore National Laboratory