Gell: A GPU-powered 3D hybrid simulator for large-scale multicellular system.

ABSTRACT: As a powerful but computationally intensive method, hybrid computational models study the dynamics of multicellular systems by evolving discrete cells in reacting and diffusing extracellular microenvironments. As the scale and complexity of studied biological systems continuously increase, the exploding computational cost starts to limit large-scale cell-based simulations. To facilitate the large-scale hybrid computational simulation and make it feasible on easily accessible computational devices, we develop Gell (GPU Cell), a fast and memory-efficient open-source GPU-based hybrid computational modeling platform for large-scale system modeling. We fully parallelize the simulations on GPU for high computational efficiency and propose a novel voxel sorting method to further accelerate the mo

SUBMITTER: Du J 

PROVIDER: S-EPMC10353785 | biostudies-literature | 2023

REPOSITORIES: biostudies-literature