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physics.comp-ph2025
A Highly Scalable TDMA for GPUs and Its Application to Flow Solver Optimization
Seungchan Kim, Jihoo Kim, Sanghyun Ha +1
A tridiagonal matrix algorithm (TDMA), Pipelined-TDMA, is developed for multi-GPU systems to resolve the scalability bottlenecks caused by the sequential structure of conventional…
physics.comp-ph2018★ 1 cited
A scalable multi-GPU method for semi-implicit fractional-step integration of incompressible Navier-Stokes equations
Sanghyun Ha, Junshin Park, Donghyun You
A new flow solver scalable on multiple Graphics Processing Units (GPUs) for direct numerical simulation of wall-bounded incompressible flow is presented. This solver utilizes a pre…
physics.comp-ph2018★ 6 cited
Deep learning approach in multi-scale prediction of turbulent mixing-layer
Jinu Lee, Sangseung Lee, Donghyun You
Achievement of solutions in Navier-Stokes equation is one of challenging quests, especially for its closure problem. For achievement of particular solutions, there are variety of n…