Presentation
Scalable Simulation of Realistic Volume Fraction Red Blood Cell Flows through Vascular Networks
SessionComputational Fluid Dynamics
Event Type
Paper
TP
Accelerators
Algorithms
Deep Learning
GPUs
MPI
OpenMP
Performance
Scalable Computing
Simulation
TimeTuesday, 19 November 201910:30am - 11am
Location405-406-407
DescriptionHigh-fidelity blood flow simulations are a key step toward better understanding biophysical phenomena at the microscale, such as vasodilation, vasoconstriction, and overall vascular resistance. To this end, we present a fast scalable platform for the simulation of red blood cell (RBC) flows through complex capillaries by modeling the physical system as a viscous fluid with immersed deformable particles. We describe a parallel boundary integral equation solver for general elliptic partial differential equations, which we apply to Stokes flow through blood vessels. We also detail a parallel collision avoiding algorithm to ensure RBCs and the blood vessel remain contact-free. We have scaled our code on Stampede2 at the Texas Advanced Computing Center up to 34,816 cores. Our largest simulation enforces a contact-free state between four billion surface elements and solves for three billion degrees of freedom on one million RBCs and a blood vessel composed from two million patches.
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