Name
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. |
Year | Venue | Field |
|---|---|---|
2017 | arXiv: Software Engineering | Octave,MATLAB,Computer science,Theoretical computer science,Porting,Legacy code,Academic community,Workflow |
DocType | Volume | Citations |
Journal | abs/1701.02220 | 0 |
PageRank | References | Authors |
0.34 | 2 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Vardan Andriasyan | 1 | 0 | 0.34 |
| Yauhen Yakimovich | 2 | 0 | 0.34 |
| Artur Yakimovich | 3 | 0 | 0.34 |