Show simple item record

dc.contributor.authorRyan, Dorothy
dc.date.accessioned2020-11-02T20:14:08Z
dc.date.available2020-11-02T20:14:08Z
dc.date.issued2019-03-12
dc.identifier.urihttps://hdl.handle.net/1721.1/128285
dc.description.abstractProgrammers developing applications for fields as diverse as astronomy, economics, artificial intelligence, energy optimization, and medicine often found themselves creating software with languages that offered slow computation. But in this era of big data, dynamic, flexible, and easy-to-implement code is required for programmers to efficiently build high-performance software tools needed for intensive data analysis. Enter Julia, an open-source language for advanced technical computing and data science.en_US
dc.language.isoen_USen_US
dc.publisherMIT Lincoln Laboratoryen_US
dc.relation.ispartofseriesMIT Lincoln Laboratory News;
dc.rightsAttribution-NoDerivs 3.0 United States*
dc.rights.urihttp://creativecommons.org/licenses/by-nd/3.0/us/*
dc.subjectLincoln Laboratoryen_US
dc.subjectLLSCen_US
dc.titleWilkinson Prize goes to developers of flexible Julia programming languageen_US
dc.typeArticleen_US


Files in this item

Thumbnail
Thumbnail

This item appears in the following Collection(s)

  • LLSC in the News
    News articles about the LLSC and programs that are supported by the LLSC

Show simple item record