A high throughput workflow environment for cosmological simulations

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dc.contributor.authorErickson, Brandon M.S.
dc.contributor.authorSingh, Raminderjeet
dc.contributor.authorEvrard, August E.
dc.contributor.authorBecker, Matthew R.
dc.contributor.authorBusha, Michael T.
dc.contributor.authorKravtsov, Andrey V.
dc.contributor.authorMarru, Suresh
dc.contributor.authorPierce, Marlon
dc.contributor.authorWechsler, Risa H.
dc.date.accessioned2012-10-10T14:46:56Z
dc.date.available2012-10-10T14:46:56Z
dc.date.issued2012
dc.descriptionThis is a preprint of a paper in the proceedings of the XSEDE12 conference, held July 16-19, 2012 in Chicago, IL. Any opinions, findings, and conclusions or recommendations expressed in this material are those of the author(s) and do not necessarily reflect the views of the National Science Foundation or any other granting agency.
dc.description.abstractThe next generation of wide-area sky surveys offer the power to place extremely precise constraints on cosmological parameters and to test the source of cosmic acceleration. These observational programs will employ multiple techniques based on a variety of statistical signatures of galaxies and large-scale structure. These techniques have sources of systematic error that need to be understood at the percent-level in order to fully leverage the power of next-generation catalogs. Simulations of large-scale structure provide the means to characterize these uncertainties. We are using XSEDE resources to produce multiple synthetic sky surveys of galaxies and large-scale structure in support of science analysis for the Dark Energy Survey. In order to scale up our production to the level of fifty 1010-particle simulations, we are working to embed production control within the Apache Airavata workflow environment. We explain our methods and report how the workflow has reduced production time by 40% compared to manual management.
dc.description.sponsorshipThis work is partially supported by the Extreme Science and Engineering Discovery Environment (XSEDE) Extended Collaborative Support Service (ECSS) Program funded by the National Science Foundation through the award: OCI-1053575, and by NSF OCI Award 1032742, SDCI NMI Improvement: Open Gateway Computing Environments|Tools for Cyberinfrastructure-Enabled Science and Education. AEE acknowledges support from NSF AST-0708150 and NASA NNX07AN58G.
dc.identifier.citationBrandon M. S. Erickson, Raminderjeet Singh, August E. Evrard, Matthew R. Becker, Michael T. Busha, Andrey V. Kravtsov, Suresh Marru, Marlon Pierce, and Risa H. Wechsler. 2012. A high throughput workflow environment for cosmological simulations. In Proceedings of the 1st Conference of the Extreme Science and Engineering Discovery Environment: Bridging from the eXtreme to the campus and beyond (XSEDE '12). ACM, New York, NY, USA, , Article 34 , 8 pages. DOI=10.1145/2335755.2335830 http://doi.acm.org/10.1145/2335755.2335830
dc.identifier.urihttps://hdl.handle.net/2022/14724
dc.language.isoen_US
dc.publisherACM
dc.relation.isversionofhttp://doi.acm.org/10.1145/2335755.2335830
dc.rightsExcept where otherwise noted, the contents of this presentation are © the Trustees of Indiana University. This content is released under the Creative Commons Attribution 3.0 Unported license (http://creativecommons.org/licenses/by/3.0/). This license includes the following terms: You are free to share – to copy, distribute and transmit the work and to remix – to adapt the work under the following conditions: attribution – you must attribute the work in the manner specified by the author or licensor (but not in any way that suggests that they endorse you or your use of the work). For any reuse or distribution, you must make clear to others the license terms of this work.
dc.rights.urihttp://creativecommons.org/licenses/by/3.0/
dc.subjectAiravata
dc.subjectastronomy
dc.subjectastrophysics
dc.subjectcosmology
dc.subjectdark energy
dc.subjectdes
dc.subjectogce
dc.subjectscientific workflows
dc.subjectXBaya
dc.subjectXSEDE
dc.titleA high throughput workflow environment for cosmological simulations
dc.typePreprint

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