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MatlabCompat.jl: helping Julia understand Your Matlab/Octave Code
January 06, 2017 Β· Declared Dead Β· π arXiv.org
"No code URL or promise found in abstract"
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Authors
Vardan Andriasyan, Yauhen Yakimovich, Artur Yakimovich
arXiv ID
1701.02220
Category
cs.SE: Software Engineering
Cross-listed
q-bio.QM
Citations
0
Venue
arXiv.org
Last Checked
5 months ago
Abstract
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.
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