Past Event:
Massively parallel radiation transport simulations: current status and challenges ahead
Jean Ragusa , Texas A & M University
1 – 2PM
Friday Apr 28, 2017
POB 6.304
Abstract
In this talk, I will provide an overview of solution techniques and iterative techniques employed to solve the first-order form of the radiation transport equation on massively parallel machines. A review of scaling efficiency for transport sweeps (up to order 1-million processes) will be provided for logically Cartesian grids. Challenges posed by the need to move to unstructured (load-unbalanced) grids and ongoing research will be discussed. Diffusion-based synthetic accelerators for the one-speed (within-group) and multi group transport equations will be presented and issues related to massively parallel diffusion-accelerated transport sweeps be analyzed.
Bio
Dr. Jean Ragusa specializes in computational methods for radiation (neutron, photon, coupled electron-photon) transport, radiative transfer, and multiphysics applications (e.g., radiation-hydrodynamics and two-phase flow modeling using a seven-equation model). Dr. Ragusa obtained his PhD from the University of Grenoble in 2001 and was a visiting assistant professor in the scholar of nuclear engineering at Purdue in 2001. From 2002 until 2004, he was a research engineer at the CEA-Saclay, France, in the reactor physics and applied mathematics division. In September 2004, he joined Texas A&M University where he is a professor of Nuclear Engineering and, since 2009, the associate director of the Institute for Scientific Computation.