Hi! I’ve written a small blog post for my acquaintances here in Stochkolm highlighting that the performance difference across Julia, R, and Python might not be negligible. The problem is that for the example I chose, Python and R are not just a bit slower, they’re ridiculously slow in comparison, an…

Well, of course Julia is going to be the fastest when you’re rendering the Julia set. To be fair to the other languages you should try rendering the Python set or the R set…

[image] r3tex: The problem is that for the example I chose, Python and R are not just a bit slower, they’re ridiculously slow in comparison, and this isn’t even a “showcase” algorithm for Julia. All fundamentally-iterative algorithms are “showcase” for Julia, mostly because they perform terri…

The Julia version can even be made a lot faster (more than a factor of 3 on my machine) by replacing the abs(z) > 2 check with abs2(z) > 4 to avoid the hypot call (which involves expensive square root and overflow checks). (There are a few other opportunities for performance improvement in the Juli…

[image] r3tex: The problem is that for the example I chose, Python and R are not just a bit slower, they’re ridiculously slow in comparison, and this isn’t even a “showcase” algorithm for Julia. A lot of people vaguely know that writing inner loops in Python/R/Matlab is slow, but they aren’t …

[image] stevengj: Or worse, I often find that scientists’ mental model of a CPU is a box that does floating-point arithmetic at a fixed rate You make a valid point, but there are always trade-offs. Many scientists would rather devote their attention to doing science, instead of learning about…

I wrote this code on MATLAB (R2017a): dtlLvl = 1000; numRows = 6000; numCols = 6000; mBitMap = zeros([numRows, numCols]); paramGoldenRatio = (1 + sqrt(5)) / 2; paramC = (paramGoldenRatio - 2) + (paramGoldenRatio - 1) * 1i; tic(); mBitMap = JuliaFractal(mBitMap, numRows, numCols, paramC, dtlLvl);…

[image] RoyiAvital: @stevengj , Does Julia vectorize the code posted by @r3tex ? No. Vectorization has absolutely nothing to do with the performance differences here. (One of the bad results of programming too much in Matlab etc. is that it falsely teaches one to view “vectors good, scalars …

@stevengj , How far down the road will Julia automatically vectorize the above code? Are we far from there? Is there a simple way to vectorize it now in Julia?

Julia vs R vs Python

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Tamas_Papp July 21, 2017, 1:57pm 5

To be fair: most R users who dipped their toes into some basic programming (as opposed to using canned algorithms) know this. R was never sold on its speed.

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Julia vs R vs Python

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