Chief Data Science Officer, San Diego Supercomputer Center; Founding Fellow, Halıcıoğlu Data Science Institute, University of California San Diego.
Dynamic Capability Composition at the Digital Continuum from Edge to HPC
Influenced by the advances in data and computing, the scientific practice increasingly involves machine learning and artificial intelligence (AI) driven methods which require specialized capabilities at the system-, science- and service-level in addition to the conventional large-capacity supercomputing approaches. The latest distributed architectures built around the composability of data-centric applications led to the emergence of an ecosystem for container coordination and integration. New approaches for dynamic composability of heterogeneous systems are needed to further advance the data-driven and AI-integrated scientific practice by multidisciplinary teams of researchers. This talk presents a novel approach for using composable systems at the intersection of scientific computing, artificial intelligence (AI), and remote sensing at the edge, including the first working example of a composable infrastructure that federates Expanse, an NSF-funded supercomputer, with Nautilus, a Kubernetes-based GPU geo-distributed cluster and Sage, a reconfigurable edge AI infrastructure. It will also overview scientific workflow case studies that compose the insights from edge sensing, scientific instrumentation, AI, computing capabilities and physics-driven simulations n the wildland fire domain.
Dr. Altıntaş is the Founding Director of the Workflows for Data Science (WorDS) Center of Excellence, which develops methods, cyberinfrastructure, and workflows for computational data science and its translation to practical applications. She is also the Founding Director of the WIFIRE Lab, which uses AI methods to build an all-hazards knowledge cyberinfrastructure and has achieved significant success in helping to manage wildfires.