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. 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.


Biography

Dr. İlkay Altıntaş is the Chief Data Science Officer of the San Diego Supercomputer Center as well as a Fellow of the Halıcıoğlu Data Science Institute at the University of California San Diego. She is the Founding Director of the Workflows for Data Science (WorDS) Center of Excellence and the WIFIRE Lab. The WoRDS Center specializes in the development of methods, cyberinfrastructure, and workflows for computational data science and its translation to practical applications. The WIFIRE Lab focuses on methods for all-hazards knowledge from data collection to modeling efforts, and has achieved significant success in helping to manage wildfires. Among the awards she has received are the 2015 IEEE TCSC Award for Excellence in Scalable Computing for Early Career Researchers and the 2017 ACM SIGHPC Emerging Woman Leader in Technical Computing Award. Altıntaş holds a Ph.D. degree from the University of Amsterdam in the Netherlands.

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