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Instrumenting multiphysics blood flow simulation codes for in situ visualization and analysis | ||
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Anthony Bucaro, Connor Murphy, Nicola Ferrier, Joseph Insley, Victor Mateevitsi, Michael E Papka, Silvio Rizzi, Jifu Tan | ||
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Full Text | ||
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Link to the full text `PDF <https://ieeexplore.ieee.org/abstract/document/9623096>`_. | ||
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Abstract | ||
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Blood flow simulations have important applications in engineering and medicine, requiring visualization and analysis for both fluid (blood plasma) and solid (cells). Recent advances in blood flow simulations highlight the need of a more efficient analysis of large data sets. Traditionally, analysis is performed after a simulation is completed, and any changes of simulation settings require running the simulation again. With bi-directional in situ analysis we aim to solve this problem by allowing manipulation of simulation parameters in run time. In this project, we describe our early steps toward this goal and present the in situ instrumentation of two coupled codes for blood flow simulation using the SENSEI in situ framework. |
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