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UID:submissions.supercomputing.org_SC23_sess299_spostg108@linklings.com
SUMMARY:Cloud Computing at Scale:  Tracking 4.5 Million Heartbeats of 3D C
 oronary Flow via the Longitudinal Hemodynamic Mapping Framework
DESCRIPTION:Cyrus Tanade (Duke University)\n\nTracking hemodynamic respons
 es to treatment and stimuli for long periods is a grand challenge. Moving 
 from established single-heartbeat technology to longitudinal profiles woul
 d require continuous data reflecting a patient's evolving state, methods t
 o extend the temporal domain that could be feasibly computed, and high-thr
 oughput resources. Although personalized models can accurately measure 3D 
 hemodynamics over single heartbeats, state-of-the-art methods would requir
 e centuries of runtime on leadership-class systems to simulate one day of 
 activity. We are establishing the Longitudinal Hemodynamic Mapping Framewo
 rk (LHMF), which combines patient-specific models, wearables, and cloud co
 mputing to enable the first digital twins that capture longitudinal hemody
 namic maps (LHMs). We demonstrate validity through comparison with ground 
 truth data for 750 beats. We applied LHMF to generate the first LHM of cor
 onary arteries spanning 4.5 million heartbeats. LHMF relies on an initial 
 fixed set of representative simulations to enable the computationally trac
 table creation of LHM over heterogeneous systems.\n\nTag: Artificial Intel
 ligence/Machine Learning, Algorithms, Applications, Architecture and Netwo
 rks, Cloud Computing, Distributed Computing, Data Analysis, Visualization,
  and Storage, Performance Measurement, Modeling, and Tools, Programming Fr
 ameworks and System Software\n\nRegistration Category: Tech Program Reg Pa
 ss, Exhibits Reg Pass\n\n
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