Minisymposium Presentation

When SmartSim was first released in 2020, the intention was that of supporting workflows where large numerical software needed an ML boost. The ML models involved were small, fitting onto one single GPU, and could be easily re-trained and replaced at run-time. Nowadays, ML models are huge, spanning several accelerators, and necessitating ad hoc techniques to be deployed avoiding holding back the execution of large workflows. SmartSim is evolving, its implementation going down the stack to harness the totality of the resources offered by modern heterogeneous systems. In this talk, we will look at recent success stories, new developments, and at how SmartSim is morphing into a more open and collaborative project.