October 8th, 12pm-1pm
Design, development, and analysis of a compressible fluid dynamics solver capable of exceeding one quadrillion degrees of freedomBen Wilfong
Advisor: Prof. Spencer Bryngelson
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ABSTRACT
This talk presents an optimized implementation of the recently proposed information geometric regularization (IGR) for unprecedented scale simulation of compressible fluid flows applied to multi-engine spacecraft boosters. The work improves upon state-of-the-art computational fluid dynamics (CFD) techniques in terms of computational cost, memory footprint, and energy-to-solution metrics. Unified memory on coupled CPU-GPU or APU platforms increases problem size with negligible overhead on NVIDIA and AMD architectures. Mixed half/single-precision storage and computation on well-conditioned numerics is used. The resulting solver is capable of simulating flow at 200 trillion grid points and 1 quadrillion degrees of freedom, exceeding the current record by a factor of 20. This talk describes the tools and languages used to develop fast and portable code that leverages coupled CPU-GPU and APU architectures and summarizes performance results that demonstrate real-world usability and meaningful improvement over the current state-of-the-art
BIO
Ben Wilfong is a fourth-year CSE PhD student in Spencer Bryngelson’s computational physics group. His current research interests focus on high-performance computing for modeling and simulation applications on the world’s fastest supercomputers. He is a core developer for the Multi-Component Flow Code (MFC), an exascale compressible multiphase and multipysics flow solver.