Your Computer May be More Powerful than You Know

An Example of a GPU accelerated agent-based model in Virology. Here an agent-based model (ABM) model that utilizes graphical processing units (GPUs) is developed for simulating viral infections of influenza in a mono layer of a million MDCK cells. The speed increase from utilizing GPUs is shown and an example of fitting the model to H1N1pdm09-WT in vitro data is given. Then the feasibility of simulations in a doctor's office is discussed, based on growing GPU power and computer availability. Finally, future research that stems from this work is commented on. Moderator: James A. Glazier, PhD, Indiana University, Bloomington To learn more, see: Fain, B. G., & Dobrovolny, H. M. (2022). GPU acceleration and data fitting: Agent-based models of viral infections can now be parameterized in hours. Journal of computational science, 61, 101662. https://www.sciencedirect.com/science/article/abs/pii/S1877750322000746 If you found this video useful, please check out our other videos on computational modeling, infection and immunology: https://youtube.com/playlist?list=PLiEtieOeWbMKh9VcQoinSwODcSZKMTGat Please consider joining our IMAG/MSM WG on Multiscale Modeling and Viral Pandemics: https://www.imagwiki.nibib.nih.gov/content/msm-viral-pandemics-meetings Please also consider joining the Global Alliance for Immune Prediction and Intervention: http://glimprint.org/