A Scalable System Architecture to Addressing the Next Generation of Predictive Simulation Workflows with Coupled Compute and Data Intensive Applications

Abstract

Trends in the emerging digital economy are pushing the virtual representation of products and services. Creating these digital twins requires a combination of real time data ingestion, simulation of physical products under real world conditions, service delivery optimization and data analytics as well as ML/DL anomaly detection and decision making. Quantification of Uncertainty in the simulations will also be a compute and data intensive workflow that will drive the simulation improvement cycle. Future high-end computing systems designs need to comprehend these types of complex workflows and provide a flexible framework for optimizing the design and operations under dynamic load conditions for them.