DEPARTMENT OF MATHEMATICAL SCIENCES

APPLIED AND COMPUTATIONAL MATHEMATICS SEMINAR

**Speaker:**Andrew Corrigan, Naval Research Laboratory

**Title: ***
A hybrid-grid compressible flow solver for large-scale supersonic
jet noise simulations on multi-GPU clusters
*

**Abstract:**
A compressible flow solver for multi-GPU clusters has been developed
for performing large-scale supersonic jet noise and other high-speed
compressible flow simulations over hybrid grids. While supersonic jet
noise simulations require the accurate representation of complex nozzle
geometry and thus the use of unstructured grids, much of the domain
geometry can be represented sufficiently with structured grids, which
drastically reduces memory bandwidth consumption and storage. Therefore,
hybrid grids are employed, which combine an unstructured grid representation
in the vicinity of the nozzle with a structured grid representation in the
wake region of the flow field. Performance benchmarks are drawn from
large-scale runs performed using this solver.

**Time:** Friday, April 6, 2012, 1:30-2:30 p.m.

**Place:** Science and Tech I, Room 242

Department of Mathematical Sciences

George Mason University

4400 University Drive, MS 3F2

Fairfax, VA 22030-4444

http://math.gmu.edu/

Tel. 703-993-1460, Fax. 703-993-1491