Urgent Computing

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. This panel will explore application usecases as well as their requirements and challenges of urgent computing, and how the computing continuum, spanning resources at the edges, in the core (including HPC, supercomputing and the cloud) and in-between, can be harnessed to support urgent science. The panel will also present recent research in the area describe recent research in enabling urgent computing.