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Natural Load Indices (NLI) for scientific simulation |
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| Authors: | Stefan P Muszala Gita Alaghband James Hack Daniel Connors |
| Affiliation: | 1.Tech-X Corporation,Boulder,USA;2.University of Colorado at Denver and Health Sciences Center, Computer Science and Engineering,Denver,USA;3.Oak Ridge National Laboratory,National Center for Computational Sciences,Oak Ridge,USA;4.Electrical and Computer Engineering,Colorado State University,Fort Collins,USA |
| Abstract: | We present Natural Load Indices (NLIs) as an alternative to measurement-based load indices. NLIs facilitate further performance improvement and better resource usage. Example NLIs are rainfall amounts in a climate simulation, mass of an atom in a Molecular Dynamics (MD) code and surface fluxes in an ocean model. The process of obtaining an NLI occurs during model development or as a preprocessing step and implementing NLIs minimizes run-time costs associated with dynamic load balancing. |
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