TY - GEN
T1 - Scalable simulation of realistic volume fraction red blood cell flows through vascular networks
AU - Lu, Libin
AU - Morse, Matthew J.
AU - Rahimian, Abtin
AU - Stadler, Georg
AU - Zorin, Denis
N1 - Funding Information:
We would like to thank Dhairya Malhotra, Michael Shelley and Shenglong Wang for support and various discussions throughout about various aspects of this work. This work was supported by the US National Science Foundation (NSF) through grants DMS-1821334, DMS-1821305, DMS-1320621, DMS-1436591 and EAR-1646337. Computing time on TACC’s Stampede2 supercomputer was provided through the Extreme Science and Engineering Discovery Environment (XSEDE), which is supported by National Science Foundation grant number ACI-1548562.
PY - 2019/11/17
Y1 - 2019/11/17
N2 - High-resolution blood flow simulations have potential for developing better understanding biophysical phenomena at the microscale, such as vasodilation, vasoconstriction and overall vascular resistance. To this end, we present a 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.
AB - High-resolution blood flow simulations have potential for developing better understanding biophysical phenomena at the microscale, such as vasodilation, vasoconstriction and overall vascular resistance. To this end, we present a 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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UR - http://www.scopus.com/inward/citedby.url?scp=85076131986&partnerID=8YFLogxK
U2 - 10.1145/3295500.3356203
DO - 10.1145/3295500.3356203
M3 - Conference contribution
AN - SCOPUS:85076131986
T3 - International Conference for High Performance Computing, Networking, Storage and Analysis, SC
BT - Proceedings of SC 2019
PB - IEEE Computer Society
T2 - 2019 International Conference for High Performance Computing, Networking, Storage and Analysis, SC 2019
Y2 - 17 November 2019 through 22 November 2019
ER -