[Crib-list] TODAY: SPEAKER: Amanda Randles (LLNL) -- Computational Research in Boston and Beyond Seminar (CRIBB) - Friday, Nov. 7, 2014 -- 12:00 Noon in Building 32, Room 141 (fwd)

[Shirley Entzminger]

T O D A Y . . .


 		    COMPUTATIONAL RESEARCH in BOSTON and BEYOND SEMINAR


DATE:		FRIDAY, NOVEMBER 7, 2014
TIME:		12:00 Noon
LOCATION:	Building 32, Room 141 (Stata Center)
 		(32 Vassar Street)

 	Pizza and beverages will be provided at 11:45 AM outside Room 32-141.


TITLE:		Massively Parallel Simulations of Patient-Specific Hemodynamics


SPEAKER:	AMANDA RANDLES  (Lawrence Livermore National Laboratory)


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 is a formidable mathematical and 
computational challenge requiring large-scale fluid models as well as explicit 
models of suspended bodies like red blood cells. This will require high 
resolution modeling of cells in the blood stream, and necessitate significant 
computational advances. To date, we have efficiently scaled our algorithms to 
run on up to 294,912 processors and are working to extend this scalability to 
allow the study of large regions of the circulatory system. Building on HARVEY, 
a parallel fluid dynamics application designed to model hemodynamics in 
patient-specific geometries, we are working to further validate the results 
through rigorous comparison with in vivo and in vitro measurements. We are also 
working to expand the scope of projects to address not only vascular diseases, 
but also treatment planning and the movement of circulating tumor cells in the 
bloodstream. In close collaboration with researchers and physicians at the 
Dana-Farber Cancer Institute and Brigham and Women's Hospital, we are 
establishing a mathematical framework that can have direct impact on patient 
care. In this talk, I will discuss the fluid model and provide an overview of 
some of the optimization methods employed to achieve highly efficient scaling 
on the Blue Gene/Q supercomputer. I will discuss a few examples of applications 
of the code.

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Massachusetts Institute of Technology
Cambridge, MA


FOr more information about the CRIBB Seminar, please visit...


 			http://math.mit.edu/crib/