Many of the underlying techniques that drive today’s AI applications can be repurposed for advancing scientific simulations.
This webinar focuses on two classes of hybrid AI/simulation workflows: AI-in-the-loop where the AI component is coupled tightly within the simulation’s inner loop (e.g. for sub grid-scale modelling) and AI-around-the-loop where AI techniques are used to drive a simulation (e.g. for parameter exploration).
To address the challenges of defining and executing workflows and in-memory data transfer within a worklow, this webinar introduces RHAPSODY and radex, tools co-developed by HPE and the RADICAL lab at Rutgers University, and backed by the DragonHPC distributed runtime.