Wilkinson Prize goes to developers of flexible Julia programming language

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        Programmers 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.

        Research on Julia began in MIT’s Computer Science and Artificial Intelligence Laboratory (CSAIL) and its Department of Mathematics under the guidance of Alan Edelman, a professor of mathematics, and founding sponsor Jeremy Kepner, a Fellow at MIT Lincoln Laboratory. Three researchers at MIT who were creating the initial version of Julia in 2009 — Jeff Bezanson, Stefan Karpinski, and Viral Shah — were named the recipients of the 2019 James H. Wilkinson Prize for Numerical Software.


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