MatlabCompat.jl: helping Julia understand Your Matlab/Octave Code

Autor:	Andriasyan, Vardan, Yakimovich, Yauhen, Yakimovich, Artur
Rok vydání:	2017
Předmět:	Computer Science - Software Engineering Quantitative Biology - Quantitative Methods
Druh dokumentu:	Working Paper
Popis:	Scientific legacy code in MATLAB/Octave not compatible with modernization of research workflows is vastly abundant throughout academic community. Performance of non-vectorized code written in MATLAB/Octave represents a major burden. A new programming language for technical computing Julia, promises to address these issues. Although Julia syntax is similar to MATLAB/Octave, porting code to Julia may be cumbersome for researchers. Here we present MatlabCompat.jl - a library aimed at simplifying the conversion of your MATLAB/Octave code to Julia. We show using a simplistic image analysis use case that MATLAB/Octave code can be easily ported to high performant Julia using MatlabCompat.jl. Comment: 20 pages, 3 figures, 1 table; *correspondence: artur.yakimovich@uzh.ch, a.yakimovich@ucl.ac.uk
Databáze:	arXiv
Externí odkaz:	http://arxiv.org/abs/1701.02220 Zobrazit plný text záznamu View this record from Arxiv