Managing Workflow Malleability in Urgent Computing for Earthquake Alerts

When large earthquakes happen, first responders need fast and accurate information regarding their impact. UCIS4EQ is an urgent computing platform that estimates ground shaking based on high-performance parallel 3D simulations. In this work, we present the PyCOMPSs implementation of UCIS4EQ towards...

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Vydáno v:SC24-W: Workshops of the International Conference for High Performance Computing, Networking, Storage and Analysis s. 2064 - 2071
Hlavní autoři: Ejarque, Jorge, Monterrubio-Velasco, Marisol, Bhihe, Cedric, Pienkowska, Marta, De La Puente, Josep, Badia, Rosa M.
Médium: Konferenční příspěvek
Jazyk:angličtina
Vydáno: IEEE 17.11.2024
Témata:
Accuracy
Computational modeling
Conferences
Earthquakes
High performance computing
malleability
Protection
Runtime
Software
Solid modeling
Three-dimensional displays
urgent computing
workflows
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Shrnutí:When large earthquakes happen, first responders need fast and accurate information regarding their impact. UCIS4EQ is an urgent computing platform that estimates ground shaking based on high-performance parallel 3D simulations. In this work, we present the PyCOMPSs implementation of UCIS4EQ towards urgent high-performance computing with a particular focus on providing a malleability mechanism. This allows UCIS4EQ to scan for data updates during runtime and dynamically incorporate said data into its execution. This involves, in particular, leveraging several HPC jobs. The implementation has been validated with data from the Samos Izmir earthquake. The malleable version of the workflow can reduce the use of computational resources by 40% while reducing the variability of the results and keeping the same time-to-solution as a non-malleable run.
DOI:10.1109/SCW63240.2024.00258