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Julia: A Fast Dynamic Language for Technical Computing

Dynamic languages have become popular for scientific computing. They are generally considered highly productive, but lacking in performance. This paper presents Julia, a new dynamic language for technical computing, designed for performance from the beginning by adapting and extending modern programming language techniques. A design based on generic functions and a rich type system simultaneously enables an expressive programming model and successful type inference, leading to good performance for a wide range of programs. This makes it possible for much of the Julia library to be written in Julia itself, while also incorporating best-of-breed C and Fortran libraries.

preprint2012arXivOpen access
Jeff BezansonStefan KarpinskiViral B. ShahAlan Edelman
Computational Engineering, Finance, and ScienceProgramming Languages
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Open access4 authors2 topics
Imported metadata coverageMissing code, dataset, citation and institution fields are tracked without dominating the paper.Details
Citations: 0Reviews: 0Saves: 0Code: not linkedDataset: not linkedInstitutions: 0

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Jeff BezansonStefan KarpinskiViral B. ShahAlan Edelman

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