Overview of HPC and AI Computing for COVID-19 in the US

In this talk I'll describe some of the ongoing work in the US applying HPC and AI to COVID-19 related research. I will discuss two activities launched in the spring of 2020, the first is the COVID-19 HPC consortium that joins US supercomputing centers, computing and technology vendors and federal agencies to provide HPC cycles to the SARS-CoV-2/COVID-19 research community and to streamline access to resources via a single proposal mechanism. Currently the HPC consortium has 40 members, access to over 136K nodes, 5M CPUS and 50K GPUs totaling more than 558 Petaflops and is supporting 66 peer reviewed research projects related to the pandemic. The second topic I'll discuss is the nine DOE laboratory collaboration (Argonne, Berkeley, Brookhaven, Oak Ridge, Livermore, Los Alamos, Pacific Northwest, Sandia and SLAC) formed to apply advanced computing to the problem of developing molecular therapeutics for COVID-19. This project is one of part of the DOE sponsored National Virtual BioTechnology Laboratory (NVBTL) formed to coordinate national laboratory efforts related to the pandemic. For each of these I'll give a brief overview of the science, the state of play and how HPC and AI are being used and progress towards solutions.