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Julia implementation of the Dynamic Distributed Dimensional Data Model

dc.contributor.authorChen, Alexander Y.
dc.contributor.authorEdelman, Alan
dc.contributor.authorKepner, Jeremy
dc.contributor.authorGadepally, Vijay N.
dc.contributor.authorHutchison, Dylan D.
dc.date.accessioned2018-05-30T15:25:17Z
dc.date.available2018-05-30T15:25:17Z
dc.date.issued2016-12
dc.identifier.isbn978-1-5090-3525-0
dc.identifier.urihttp://hdl.handle.net/1721.1/115967
dc.description.abstractJulia is a new language for writing data analysis programs that are easy to implement and run at high performance. Similarly, the Dynamic Distributed Dimensional Data Model (D4M) aims to clarify data analysis operations while retaining strong performance. D4M accomplishes these goals through a composable, unified data model on associative arrays. In this work, we present an implementation of D4M in Julia and describe how it enables and facilitates data analysis. Several experiments showcase scalable performance in our new Julia version as compared to the original Matlab implementation.en_US
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE)en_US
dc.relation.isversionofhttp://dx.doi.org/10.1109/HPEC.2016.7761626en_US
dc.rightsCreative Commons Attribution-Noncommercial-Share Alikeen_US
dc.rights.urihttp://creativecommons.org/licenses/by-nc-sa/4.0/en_US
dc.sourcearXiven_US
dc.titleJulia implementation of the Dynamic Distributed Dimensional Data Modelen_US
dc.typeArticleen_US
dc.identifier.citationChen, Alexander, Alan Edelman, Jeremy Kepner, Vijay Gadepally, and Dylan Hutchison. “Julia Implementation of the Dynamic Distributed Dimensional Data Model.” 2016 IEEE High Performance Extreme Computing Conference (HPEC) (September 2016).en_US
dc.contributor.departmentLincoln Laboratoryen_US
dc.contributor.departmentMassachusetts Institute of Technology. Department of Electrical Engineering and Computer Scienceen_US
dc.contributor.departmentMassachusetts Institute of Technology. Department of Mathematicsen_US
dc.contributor.departmentMassachusetts Institute of Technology. Department of Mechanical Engineeringen_US
dc.contributor.mitauthorChen, Alexander Y.
dc.contributor.mitauthorEdelman, Alan
dc.contributor.mitauthorKepner, Jeremy
dc.contributor.mitauthorGadepally, Vijay N.
dc.contributor.mitauthorHutchison, Dylan D.
dc.relation.journal2016 IEEE High Performance Extreme Computing Conference (HPEC)en_US
dc.eprint.versionAuthor's final manuscripten_US
dc.type.urihttp://purl.org/eprint/type/ConferencePaperen_US
eprint.statushttp://purl.org/eprint/status/NonPeerRevieweden_US
dc.date.updated2018-05-18T19:18:21Z
dspace.orderedauthorsChen, Alexander; Edelman, Alan; Kepner, Jeremy; Gadepally, Vijay; Hutchison, Dylanen_US
dspace.embargo.termsNen_US
dc.identifier.orcidhttps://orcid.org/0000-0001-8083-7289
dc.identifier.orcidhttps://orcid.org/0000-0001-7676-3133
mit.licenseOPEN_ACCESS_POLICYen_US


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