Julia: A Fresh Approach to Numerical Computing

2014/11/06 by Jeff Bezanson, Alan Edelman, Bezanson, Jeff +5 · 1 voice · 408 citations
Computer Science · #Abstraction #Bridging (networking) #Code (set theory) #Computation #Computer science #Distributed and Parallel Computing Systems #Parallel Computing and Optimization Techniques #Programmer #Programming language #Quantum Computing Algorithms and Architecture #Theoretical computer science #cs.MS

paper · pdf · doi:10.48550/arxiv.1411.1607

published in arXiv (Cornell University) (Cornell University) · 37 pages

openalex publication_date 2014/11/06 · arxiv created 2015/07/19 · arxiv updated 2015/07/21 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28

Abstract

Bridging cultures that have often been distant, Julia combines expertise from the diverse fields of computer science and computational science to create a new approach to numerical computing. Julia is designed to be easy and fast. Julia questions notions generally held as "laws of nature" by practitioners of numerical computing: 1. High-level dynamic programs have to be slow. 2. One must prototype in one language and then rewrite in another language for speed or deployment, and 3. There are parts of a system for the programmer, and other parts best left untouched as they are built by the experts. We introduce the Julia programming language and its design --- a dance between specialization and abstraction. Specialization allows for custom treatment. Multiple dispatch, a technique from computer science, picks the right algorithm for the right circumstance. Abstraction, what good computation is really about, recognizes what remains the same after differences are stripped away. Abstractions in mathematics are captured as code through another technique from computer science, generic programming. Julia shows that one can have machine performance without sacrificing human convenience.

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• Assessing the Role of Intrinsic Variability in Black Hole Parameter Inference using Multi-Epoch EHT Data
• Jeff Bezanson [wikipedia]
• Julia (programming language) [wikipedia]
• Multiple dispatch [wikipedia]
• Numerical analysis [wikipedia]
• Stefan Karpinski [wikipedia]

Discussions

• Julia: A fresh approach to numerical computing [hn, 215 points, 138 comments]

Related

• Julia: A Fresh Approach to Numerical Computing
• Julia: A Fast Dynamic Language for Technical Computing
• A Type System for Julia
• Bridging HPC Communities through the Julia Programming Language
• The State of Julia for Scientific Machine Learning