Parallel Multigrid Solvers in Space and Time for Future Architectures
Decanato - Facoltà di scienze informatiche
Data: 2 Novembre 2017 / 15:30 - 16:30
USI Lugano Campus, room A23, Red building (Via G. Buffi 13)
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Abstract: |
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Multigrid solvers are popular and effective approaches for solving large sparse systems of equations, which often come from discretized partial differential equations. |
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Biography: |
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Jacob Schroder is a computational mathematician at the Center for Applied Scientific Computing (CASC) at Lawrence Livermore National Laboratory. The core direction of his research is numerical analysis and scientific computing. His specific focus is on highperformance computing, iterative solvers for large sparse (non)linear systems, their associated preconditioning, and numerical PDEs. He approaches his research both from a software perspective centered on providing new methods to the broader community and also from a theoretical perspective centered on the development of new methods. His research has resulted in new classical spatial multigrid solvers for areas such as Helmholtz problems, high-order discontinuous Galerkin discretizations, and neutron transport. He has also developed new parallel-in-time methods using a multigrid reduction strategy that have been applied in a variety of settings, e. g., elasticity, fluid dynamics and optimization. He is a member of the Scalable Linear Solvers (hypre) project and the leader for the Parallel Time Integration with Multigrid (XBraid) project. |
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