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dc.contributor.authorHassan, Rakib
dc.contributor.authorGurnis, Michael
dc.contributor.authorWilliams, Simon E.
dc.contributor.authorMuller, R. Dietmar
dc.date.accessioned2019-08-12T07:28:30Z
dc.date.available2019-08-12T07:28:30Z
dc.date.issued2018-01
dc.identifier.citationHassan, R., Gurnis, M., Williams, S. E., & Müller, R. D. (2018). SPGM: A Scalable PaleoGeomorphology Model. SoftwareX, 7, 263-272. https://doi.org/10.1016/j.softx.2018.07.005en_AU
dc.identifier.urihttp://hdl.handle.net/2123/20887
dc.description.abstractNumerical models of landscape evolution are playing an increasingly important role in providing an improved understanding of geomorphic transport processes shaping Earth's surface topography. Improving theoretical underpinnings coupled with increasing computational capacity has led to the development of several open source codes written in low-level languages. However, adapting these codes to new functionality or introducing greater flexibility often requires significant recoding. Here we present a multi-process, scalable, numerical model of geomorphological evolution, built with a modular structure and geared toward seamless extensibility. We implement recent algorithmic advances that reduce the computational cost of flow routing – a problem that typically scales quadratically with the number of unknowns – to linear in time while allowing for parallel implementations of geomorphic transport processes. Our scalability tests demonstrate that such parallelizations can achieve an order of magnitude speedup on a typical desktop computer, making large-scale simulations more tractable. © 2018 The Author(s)en_AU
dc.description.sponsorshipMG was supported by Statoil ASA , NSF EAR - 1358646 and EAR - 1247022 . R.D.M was supported by Statoil ASA through ARC IH130200012 . Appendix A Table A.1 lists physical parameters associated with each module, along with their corresponding names in parameter files. Additionally, annotated parameter-files and initial topographies for models used to produce Figs. 3–5 can be found online in Supplementary Data. Appendix B B.1en_AU
dc.language.isoen_AUen_AU
dc.publisherElsevieren_AU
dc.relationARC IH130200012,EAR - 1247022,1358646en_AU
dc.rights© 2018. This manuscript version is made available under the CC-BY-NC-ND 4.0 license http://creativecommons.org/licenses/by-nc-nd/4.0/en_AU
dc.subjectGeomorphologyen_AU
dc.subjectLandscape evolution modelen_AU
dc.subjectMorphodynamicsen_AU
dc.subjectPaleogeomorphologyen_AU
dc.subjectSurface processesen_AU
dc.titleSPGM: A Scalable PaleoGeomorphology Modelen_AU
dc.typeArticleen_AU
dc.subject.asrc040402en_AU
dc.identifier.doihttps://doi.org/10.1016/j.softx.2018.07.005
dc.type.pubtypePublisher versionen_AU


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