Simulation of 3D centimeter-scale continuum tumor growth at sub-millimeter resolution via distributed computing.

ABSTRACT: Simulation of cm-scale tumor growth has generally been constrained by the computational cost to numerically solve the associated equations, with models limited to representing mm-scale or smaller tumors. While the work has proven useful to the study of small tumors and micro-metastases, a biologically-relevant simulation of cm-scale masses as would be typically detected and treated in patients has remained an elusive goal. This study presents a distributed computing (parallelized) implementation of a mixture model of tumor growth to simulate 3D cm-scale vascularized tissue at sub-mm resolution. The numerical solving scheme utilizes a two-stage parallelization framework. The solution is written for GPU computation using the CUDA framework, which handles all Multigrid-related computations. M

SUBMITTER: Goodin DA 

PROVIDER: S-EPMC8277490 | biostudies-literature | 2021 Jul

REPOSITORIES: biostudies-literature