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Manish Parashar

Scientific Computing and Imaging (SCI) Institute, University of Utah

“Harnessing the Computing Continuum for Urgent Science”

Tuesday 14 February, 10.30am – 11.05am


Urgent science describes time-critical, data-driven scientific workflows that can leverage distributed data sources in a timely way to facilitate important decision making. Despite the exponential growth of available digital data sources and the ubiquity of non-trivial computational power for processing this data, realizing such urgent science workflows remains challenging. In this talk I will explore how the computing continuum, spanning resources at the edges, in the core and in-between, can be harnessed to support urgent science. I will also describe recent research in programming abstractions that can express what data should be processed and when and where it should be processed, middleware services that automate the discovery of resources and the orchestration of computations across these resources.


Manish Parashar is Director of the Scientific Computing and Imaging (SCI) Institute, Chair in Computational Science and Engineering, and Presidential Professor, School of Computing at the University of Utah. His research interests are in the broad areas of Parallel and Distributed Computing and Computational and Data-Enabled Science and Engineering. Manish is currently on an IPA appointment at the National Science Foundation where he is serving as Office Director of the NSF Office of Advanced Cyberinfrastructure and leads investments in national cyberinfrastructure. He also serves as Co-Chair of the National Science and Technology Council’s Subcommittee on the Future Advanced Computing Ecosystem and the National Artificial Intelligence Research Resource Task Force. Manish is the founding chair of the IEEE Technical Consortium on High Performance Computing (TCHPC), Editor-in-Chief of the IEEE Transactions on Parallel and Distributed Systems. He is Fellow of AAAS, ACM, and IEEE/IEEE Computer Society. For more information, please visit


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