P.K. Yeung

P.K. Yeung

Professor, School of Aerospace Engineering
Adjunct Professor, School of Computational Science and Engineering

Faculty Bio: http://soliton.ae.gatech.edu/people/pyeung/

High Performance Computing Area

Algorithms and Applications

Research Areas

Fundamental studies of turbulent fluid flow using large-scale computation; direct numerical simulation of turbulent flow to understand the fundamental physics of turbulent mixing and dispersion at the highest Reynolds number possible; turbulence theory, experimentation, and modeling using numerical simulation data; and algorithm development for Petascale computing

Honors and Distinctions

Leader of a four-institution NSF-supported Petascale Applications project
First Prize paper in engineering division of IBM Supercomputing Competition
U.S. Department of Energy Office of Science INCITE Award
Fellow of American Physical Society
Member of NSF TeraGrid Science Advisory Board

Research Summary

Yeung's research has primarily focused on the use of high-resolution direct numerical simulations to study the fundamental behavior of turbulent flows, and in collaborative efforts, the use of the simulation data to help produce advancements in theory and modeling. Topics that he has investigated include basic issues in Reynolds number dependence and similarity scaling, mixing with molecular diffusivity effects over a wide range of Schmidt numbers, Lagrangian fluid particles acceleration and dispersion, and the effects of uniform solid-body rotation. These simulations are among the world's largest (64 billion grid points as of early 2008) and are conducted on machines providing tens of thousands of parallel processors at multiple national supercomputer centers supported by the National Science Foundation (NSF). Yeung leads a four-institution Petascale Applications project supported by NSF.