RMACC 2021 HPC Symposium
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Wednesday, May 19 • 9:30am - 10:15am
The role of massively parallel computing in personalized blood flow modeling

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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 effectively leverage leadership class systems. Finally, I will discuss the role of personalized blood flow models for applications ranging from treatment planning for cardiovascular disease to studying cancer cell adhesion and metastatic progression.


Amanda Randles

Duke University

Wednesday May 19, 2021 9:30am - 10:15am MDT
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