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Distributed Workflows for Modeling Experimental Data...

Publication Type
Conference Paper
Journal Name
IEEE Xplore
Book Title
2017 IEEE High Performance Extreme Computing Conference (HPEC)
Publication Date
Page Numbers
1 to 5
Volume
HPEC.2017
Publisher Location
New York, United States of America
Conference Name
2017 IEEE High Performance Extreme Computing Conference
Conference Location
Waltham, Massachusetts, United States of America
Conference Date

Modeling helps explain the fundamental physics hidden behind experimental data. In the case of material modeling, running one simulation rarely results in output that reproduces the experimental data. Often one or more of the force field parameters are not precisely known and must be optimized for the output to match that of the experiment. Since the simulations require high performance computing (HPC) resources and there are usually many simulations to run, a workflow is very useful to prevent errors and assure that the simulations are identical except for the parameters that need to be varied. These workflows are usually distributed because the simulations require HPC, but the optimization and steps to compare the simulation results and experimental data are done on a local workstation. We will present results from force field refinement of data collected at the Spallation Neutron Source using Kepler, Pegasus, and Beam workflows and discuss what we have learned from using these workflows.