ABSTRACT: GPU computing is enabling groundbreaking innovation and enhanced efficiencies for a number of industries from the prediction of landslides to the motion of nanoparticles in the bloodstream and everything in between. While there has been progress in applying AI to accelerate numerical methods themselves, industrial materials are complex with a mixture of fluid and solids for which there are no closed form solutions. In this talk progress towards physics based simulations of granular materials (DEM) using GPU computing will be presented along with a technical discussion on the art of utilizing GPUs. There will be a strong focus on complex shaped particles using polyhedra along with particle based methods for fluids and its use in solving large scale industrial problems. Finally, compute aspects of other particle based methods, such as Monte Carlo ( High Energy Physics), MD, SPH will be touched on.
BIO: Prof. Nicolin Govender is a Senior Research Software Engineer at University College London’s Advanced Research Computing department. He is a visiting professor at CERN (ATLAS) through the University of Johannesburg. He has published more than 100 papers on DEM, GPU Computing and High Energy Physics and is a world renowned expert in the application of GPU computing to computational mechanics and its use in Digital Twins for solving industrial problems.