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arXiv · 1209.5145

Julia: A Fast Dynamic Language for Technical Computing

Jeff Bezanson·Stefan Karpinski·Viral B. Shah·Alan Edelman
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Abstract

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.

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Jeff Bezanson, Stefan Karpinski, Viral B. Shah, Alan Edelman. 2012-09-24. Julia: A Fast Dynamic Language for Technical Computing. https://arxiv.org/abs/1209.5145

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