Collaborative research in a regional grid

Neeman, Alisa; Gallo, Steven M.; Efstathiadis, E.

doi:10.1109/gce.2010.5676131

Cited by 2 publications

(1 citation statement)

References 17 publications

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“…The Pegasus WMS is flexible and supports a wide variety of execution environments (Deelman et al, 2015). For the Titan2D Hazard Emulator and Bent-Hysplit Workflow tools, Pegasus jobs are submitted to the University at Buffalo Center for Computational Research's (CCR's) generally accessible academic compute cluster, UB-HPC, via a UB-HPC regional grid (Neeman et al, 2010). Pegasus takes the abstract description and determines where to execute the jobs and where to access the data.…”

Section: Workflow Managementmentioning

confidence: 99%

Workflows for Construction of Spatio-Temporal Probabilistic Maps for Volcanic Hazard Assessment

2022

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Probabilistic hazard assessments for studying overland pyroclastic flows or atmospheric ash clouds under short timelines of an evolving crisis, require using the best science available unhampered by complicated and slow manual workflows. Although deterministic mathematical models are available, in most cases, parameters and initial conditions for the equations are usually only known within a prescribed range of uncertainty. For the construction of probabilistic hazard assessments, accurate outputs and propagation of the inherent input uncertainty to quantities of interest are needed to estimate necessary probabilities based on numerous runs of the underlying deterministic model. Characterizing the uncertainty in system states due to parametric and input uncertainty, simultaneously, requires using ensemble based methods to explore the full parameter and input spaces. Complex tasks, such as running thousands of instances of a deterministic model with parameter and input uncertainty require a High Performance Computing infrastructure and skilled personnel that may not be readily available to the policy makers responsible for making informed risk mitigation decisions. For efficiency, programming tasks required for executing ensemble simulations need to run in parallel, leading to twin computational challenges of managing large amounts of data and performing CPU intensive processing. The resulting flow of work requires complex sequences of tasks, interactions, and exchanges of data, hence the automatic management of these workflows are essential. Here we discuss a computer infrastructure, methodology and tools which enable scientists and other members of the volcanology research community to develop workflows for construction of probabilistic hazard maps using remotely accessed computing through a web portal.

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Section: Workflow Managementmentioning

confidence: 99%