Why octave is so slow

Not sure why. This emulates part of a program I'm writing. I don't need to run in Octave but some of the people I work with do. BTW, I was one of the first contributors to Octave back in the early 90's. Wrote the binary data interface.

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Octave is very slow, Julia is even slower and Numpy has an annoyingly verbose syntax because it has to be valid Python. This has definitely not been my experience -- most of the things I've ported over seem to run about twice as fast in Julia as in the original vectorized Matlab and probably more like 10x faster than naive non-vectorized Matlab.. Well written Julia should definitely be faster in most cases unless Matlab is using a specific well performing algorithm that Julia doesn't have built-in.

With that being said, there are a lot of Julia posts on the subreddit or stack overflow that go like "Why is this Julia code 10x slower than my Python code"? One issue is that getting good performance out of Julia isn't always obvious without a pretty good understanding of how it works.

Thankfully, people are willing to help you tweak your code to make it much faster. Q6T46nTw6i3m on Jan 19, root parent next [—]. They should be similar if they both rely on standard LLVM optimizations. This isn't just a Julia thing.

First time Haskell users are frequently confused when it is significantly slower to parse text than Perl as one of the default string libraries is really slow and not recommended even though it is what a new user would think should be the first choice.

Overall I'm excited for Julia, but have a lot to learn. Excel is also surprisingly good for the really simple stuff Ex: inverting a small matrix and doing some matrix multiplications. Thanks for the information. As said before, on Monday I can check with macOS. Sorry for the delay.

Finally I ran the test and can not confirm your observation. Is there a method to make a clean install of Octave? Thanks for checking!

And, if I may say so, you do confirm my observation! What you find in the octave line: 13 sec initially then increasing to a constant 21 sec, is what I writing about.