## UC Berkeley / Lawrence Berkeley Laboratory

#### GPU Accelerated Incompressible Flow Solvers

**Tim Warburton, Virginia Tech**

##### November 29th, 2017 at 4:00PM–5:00PM in 891 Evans Hall [Map]

My research team at Virginia Tech recently started to develop a new multi-GPU
accelerated incompressible flow solver using high-order discontinuous Galerkin
discretizations as part of the LLNL/ANL Center for Efficient Exascale
Discretizations funded by the DOE Exascale Computing Project. I will discuss
how GPU memory and processor architecture has influenced the design of the
flow solver. In particular I will discuss the strategies we are evaluating to
efficiently time-step the incompressible Navier-Stokes equations with
particular emphasis on temporal splitting, optimizing the advection steps, and
preconditioning the elliptic solves. I will further describe how we are using
empirically determined models to guide the optimization of GPU compute kernels.