SC25 Birds of a Feather

Continuum Computing: The Resilience Challenge

The new paradigm of Continuum Computing (also known as the digital continuum) is a distributed, multi-layered ecosystem that spans sensors at the edge, inter-connected instruments, cloud platforms, datacenters, exascale supercomputers, and recently quantum computers.  Continuum computing has evolved to keep pace with the growth and expansion of geographically distributed science and computing infrastructures. In the continuum paradigm, computation and data are orchestrated in various stages from the edge to core to optimize data movement and response times. Novel solutions are needed for system design, software frameworks, workflows that can react to dynamic data sizes, monitoring tools, multisite governance policies, actionable experimental metrics, etc.

SC25 attendees are encouraged to submit questions and comments for the panelists using this link.

Session Leader

Neena Imam
Peter O'Donnell Jr. Director
O'Donnell Data Science and Research Computing Institute
Southern Methodist University

Additional Session Leaders

Nagi Rao
Oak Ridge National Laboratory (ORNL)
Rao joined ORNL in 1993. He is currently a Corporate Fellow. He received B. Tech (1982) from National Institute of Technology, Warangal, India, M.E. (1984) from School of Automation, Indian Institute of Science, Bangalore, India, and Ph.D. (1988) in computer science from Louisiana State University. His research areas include high performance and quantum networking, information fusion, machine learning, and federations of science instruments. He is PI of DOE PiQSci: Performance Integrated Quantum Scalable Internet project. He is a Fellow of IEEE and received 2005 IEEE Computer Society Technical Achievement Award and 2014 R&D 100 Award.

Ian Foster
Argonne National Laboratory (ANL)
Ian Foster is Senior Scientist and Distinguished Fellow, and director of the Data Science and Learning Division, at Argonne National Laboratory, and the Arthur Holly Compton Distinguished Service Professor of Computer Science at the University of Chicago. He has a BSc degree from the University of Canterbury, New Zealand, and a PhD from Imperial College, United Kingdom, both in computer science. His research is in distributed, parallel, and data-intensive computing technologies, and their applications to scientific problems. He is a Fellow of the AAAS, ACM, BCS, and IEEE, and has received the BCS Lovelace Medal; the IEEE CS Babbage, Goode, and Kanai Awards; and the ACM/IEEE CS Ken Kennedy Award.

Benjamin Brown
DOE Office of Advanced Scientific Computing Research
Benjamin Brown is the Director of the Facilities Division in the Office of Advanced Scientific Computing Research (ASCR). Ben leads and executes the conception, construction, and operation of DOE’s world-leading research supercomputing, data, and networking infrastructure to enable the DOE mission and the national research enterprise. Ben is the lead architect of the Department’s Integrated Research Infrastructure (IRI) effort to accelerate the pace of discovery and innovation through seamless interoperability of experimental, observational, computational, network, and data infrastructure. Ben has been a member of the federal Senior Executive Service since 2020. He also served as the founding program manager of DOE’s Project Leadership Institute (2014-21). He is a Ph.D. experimental physicist with specialization in ultrafast optics, ultracold atomic physics, and quantum information science, with research experience in the US and UK. He holds a Ph.D. in optics from the University of Rochester and a bachelor’s in physics from Harvard University.