Sign up for our newsletter and get the latest big data news and analysis.

Insight into the Physics of Turbulence in Real and Canonical Flows

In this video from the 2014 HPCAC Stanford HPC & Exascale Conference, Ramesh Balakrishnan from Argonne presents: Massively Parallel Computing in CFD: Insight into the Physics of Turbulence in Real and Canonical Flows.

Computational Fluid Dynamics (CFD) researchers have been among the earliest proponents, and the largest users (both by way of allocations as well as the numbers of users) of high-performance computing (HPC) to simulate complex flow phenomena (which are almost always turbulent). Whilst much of the HPC resources have, traditionally speaking, been devoted to understanding the physics of turbulence in “canonical” turbulent flows, such as shear flows, channel flows, and boundary layer flows, this trend is beginning to shift towards simulating complex flows in complex geometries that consist of O(B) grid points. Needless to say, the main scientific challenge in fluid dynamics remains that of gaining better insight into the physics of turbulence and its role in the transfer of momentum, heat, and mass in engineering applications which include the aerodynamics of high lift devices, chemically reacting flows in combustion systems, such as combustors of jet engines, and the aeroacoustics of low and high speed flows.

2014_swissSee more talks at the Stanford HPC Conference Video Gallery.

In related news, the HPC Advisory Council will host their Switzerland Conference March 31 – April 3 in Lugano.

Resource Links: