libMobility: a fast Stokesian dynamics library
ORAL
Abstract
We'll introduce a fast and modular GPU library, libMobility, that solves the hydrodynamic mobility problem for Stokesian particle suspensions in open, periodic, and confined geometries. In particular, we've implemented fast routines to apply mobility matrices and their principle square root, ensuring that the library is immediately available for use in Brownian dynamics applications. In addition to being a high-performance library, libMobility is designed to have a streamlined installation and be easy to integrate into existing codes. We present examples with fluctuating membranes, slender filaments, and active particles that demonstrates both the flexibility and the computational advantage of the library.
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Presenters
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Ryker Fish
Colorado School of Mines
Authors
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Ryker Fish
Colorado School of Mines
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Brennan Sprinkle
Colorado School of Mines
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Raúl Pérez Peláez
Universitat Pompeu Fabra
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Aleksandar Donev
Courant Institute