4 ms·

Did you launch Julia for each image separately?

• enriquto 4y ago
  Yes. I was using julia as a shell calculator to multiply small matrices. Octave happens to be much faster for this (admittedly niche) use case.
  • bluenose69 4y ago
    Working this way is pretty common for small tasks. As has been suggested, Julia 1.9 is a lot faster than it was before. I find it's more like 4 seconds than 0.5 seconds, though. With plot.jl as $ cat plot.jl using Plots x = range(0, 10, length=100) y = sin.(x) plot(x, y) I find that $ time julia plot.jl yields 4.19s user 0.50s system 106% cpu 4.409 total
    • deleted 4y ago
      [deleted]
    • enriquto 4y ago
      Plotting is a complicated beast. If you just want to multiply matrices, there's no "using" statement and you get sub-second running times. Still geologically slow, but at least somewhat manageable.