ORSP Lunch and Learn
Speaker: Dr. Jack Wells
Date: Thursday, October 25
Time: Noon – 1:00 PM
Place: Butler Auditorium, in the Triplett Alumni Center, University of Mississippi, Oxford Campus
For: UM Faculty, Staff, Graduate Students, Honors College Students, Provost Scholars, and STEM Living Learning Community Residents*
View/Hear the Recorded/WebEx: https://mcsr.webex.com/mcsr/ldr.php?AT=pb&SP=MC&rID=62874477&rKey=9472c08f6954cc55
About the Speaker: Dr. Wells is the Director of Science at the Oak Ridge Leadership Computing Facility. His degrees are in Physics and his research interests include "the theoretical description and numerical simulation of nanoscale electrical and opto-electrical devices and device components, with applications implemented on high-performance parallel computers."
About ORNL: Oak Ridge National Laboratory is a Department of Energy science and technology facility conducting basic and applied research and development to “create solutions that strengthen the nation's leadership in key areas of science; increase the availability of clean, abundant energy; restore and protect the environment; and contribute to national security.” ORNL has principal interests in neutron sciences, computational applications, and climate change research.
*WebEx participation is open to all audiences.
Modeling and simulation with leadership computing has supercharged the process of innovation and understanding, dramatically accelerating time-to-insight and time-to-discovery. From petascale modeling of combustion for advanced engines, to designing bio-inspired catalysts for renewable energy to exploring the magnetic personalities of stars, or using very high resolution CFD to optimize turbomachines, leadership computing is delivering high impact results that are transforming science and engineering.
This presentation will discuss a range of ambitious computational research projects underway at the Oak Ridge Leadership Computing Facility (OLCF) at DOE’s Oak Ridge National Laboratory, and provide an overview of OLCF’s unique computational resources (systems and experts). Because of these resources, scientific and industrial researchers from around the world bring some of the most challenging computational problems to OLCF. These are the problems whose solutions can provide pioneering breakthroughs and competitive leaps, but are too large or too time consuming to tackle on other, less capable systems.