I currently have Python code that takes 1.5 hours to calculate 450+ million Levenshtein distances between 30,011 text labels of no more than 20 characters each. Currently migrating it to Matlab to see the JiT compilation allows optimizations of flow control. The Python implementation uses Anaconda’s CPython, so no JiT, and there is a distinct possibility that Matlab could be much faster.
Years ago, I recall reading that Matlab automatically vectorizes for loops. I cannot find any such mentions now. Is this just assumed to be part of the JiT compilation?
There will be 2 levels of for-loops, one nested within the other, to iterate over matrix rows and columns. Each iteration will call editDistance, so I don’t know if that will prevent vectorization, even if automated vectorization was available.I currently have Python code that takes 1.5 hours to calculate 450+ million Levenshtein distances between 30,011 text labels of no more than 20 characters each. Currently migrating it to Matlab to see the JiT compilation allows optimizations of flow control. The Python implementation uses Anaconda’s CPython, so no JiT, and there is a distinct possibility that Matlab could be much faster.
Years ago, I recall reading that Matlab automatically vectorizes for loops. I cannot find any such mentions now. Is this just assumed to be part of the JiT compilation?
There will be 2 levels of for-loops, one nested within the other, to iterate over matrix rows and columns. Each iteration will call editDistance, so I don’t know if that will prevent vectorization, even if automated vectorization was available. I currently have Python code that takes 1.5 hours to calculate 450+ million Levenshtein distances between 30,011 text labels of no more than 20 characters each. Currently migrating it to Matlab to see the JiT compilation allows optimizations of flow control. The Python implementation uses Anaconda’s CPython, so no JiT, and there is a distinct possibility that Matlab could be much faster.
Years ago, I recall reading that Matlab automatically vectorizes for loops. I cannot find any such mentions now. Is this just assumed to be part of the JiT compilation?
There will be 2 levels of for-loops, one nested within the other, to iterate over matrix rows and columns. Each iteration will call editDistance, so I don’t know if that will prevent vectorization, even if automated vectorization was available. vectorization, jit MATLAB Answers — New Questions

​