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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.

Speakers
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Amanda Randles

Duke University


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