Events on October 31, 2016
Amanda Randles, Assistant Professor of Biomedical Engineering Presents:
Massively Parallel Models of Hemodynamics in the Human Vasculature
October 31, 2016 at 12:00pm for 1hr
Evans Conference Room, WEB 3780
Warnock Engineering Building, 3rd floor.
Dr. Amanda Randles is an Assistant Professor in Biomedical Engineering at Duke
University. In general, her work focuses on the design of large-scale
parallel applications targeting problems in physics. Her research goals
are to both investigate fundamental questions related to fluid dynamics as
well as extend the multiscale models to study cancer metastasis. She was
recently award the NIH Early Independence Award to support the development
of models of cancer migration in the human vasculature. Randles received
her Bachelor's Degree in both Computer Science and Physics from Duke, her
Master's Degree in Computer Science from Harvard, and her Ph.D. in Applied
Physics at Harvard with a secondary field in Computational Science. From 2013-2015,
She was a Lawrence Fellow at Lawrence Livermore National Laboratory. Before
graduate school, she worked for three years as a software developer at IBM
on the Blue Gene Development Team.
Abstract:
Abstract: The recognition of the role hemodynamic forces have in the
localization and development of disease has motivated large-scale efforts
to enable patient-specific simulations. When combined with computational
approaches that can extend the models to include physiologically accurate
hematocrit levels in large regions of the circulatory system, these
image-based models yield insight into the underlying mechanisms driving
disease progression and inform surgical planning or the design of next
generation drug delivery systems. Building a detailed, realistic model of
human blood flow, however, is a formidable mathematical and computational
challenge. The models must incorporate the motion of fluid, intricate
geometry of the blood vessels, continual pulse-driven changes in flow and
pressure, and the behavior of suspended bodies such as red blood cells. In
this talk, I will discuss the development of HARVEY, a parallel fluid
dynamics application designed to model hemodynamics in patient-specific
geometries. I will cover the methods introduced to reduce the overall
time-to-solution and enable near-linear strong scaling on up to 1,572,864
core of the IBM Blue Gene/Q supercomputer. Finally, I will present the
expansion of the scope of projects to address not only vascular diseases,
but also treatment planning and the movement of circulating tumor cells in
the bloodstream.
Posted by: Deb Zemek