6 ms·
Looks good, but I actually love that Julia gets at least the same performance right out of the box, with full interoperability and the great multiple dispatch l
by zwaps 5y ago
Looks good, but I actually love that Julia gets at least the same performance right out of the box, with full interoperability and the great multiple dispatch logic.
Would be interesting to run your optimized code against the Julia optimized code that was linked to in this thread.
Or run a Julia GPU benchmark as well.
As for loops versus vectorization - I personally am used to vectorized code as it has always been a requirement. Sometimes it makes sense to use (e.g. Matrix Algebra stuff).
On the other hand, I have also been in many situations where I could not vectorize my code. More code than I'm happy to admit includes list or dict comprehensions or even loops. Sure, not all performance critical. Nevertheless, the prospect of performance no matter what is pretty exciting.
Finally, threading and multiprocessing in python is a headache compared to Julia imo.
Sometimes I just miss the good ol' "parfor" from Matlab.
All in all, Julia is a really appealing value proposition to people doing numeric computing.
- enriquto 5y ago> the great multiple dispatch logic Curiously, as much as I love the Julia language, I cannot stand multiple dispatch. I find it extremely confusing, ugly, and downright disturbing. Why would you ever want two different functions with the same name? And if this is good, why stop here? Why not two different variables with the same name but different types? Depending on the context where they are used, the language could pick one or the other.
- DNF2 5y agoBut this is what most languages do, except they have _singular_ dispatch. Every OOP language has different behaviour for different input types, except it only works for the _first_ input argument. Julia simply extends this to every argument. How would you feel about having to write `sqrt_int32(x)`, `sqrt_int64(x)`, `sqrt_float64(x)`, `sqrt_rational_complex_float16(x)`, etc, etc, etc, etc, instead of just `sqrt`, and let dispatch or overloading take care of the different implementations?
- enriquto 5y ago> Every OOP language has different behaviour for different input types Yeah. And I find OOP horrific. > How would you feel about having to write `sqrt_int32(x)`, `sqrt_int64(x)`, `sqrt_float64(x)`, What kind of savage wants the square root of an integer? I'd prefer if the language only had a single number type (maybe configurable at once by an external option) and a single sqrt function. But if you talk about the general problem of naming functions differently according to their types, I feel that it's perfectly OK. A tiny price that I'm eager to pay for the large benefit of being able to identify which function is called just by looking at its name (and not at the---possibly yet undetermined---types of its arguments).
- ianhorn 5y ago> I'd prefer if the language only had a single number type (maybe configurable at once by an external option) and a single sqrt function. If you meant a numeric single type class, like haskell's Num, I think it's a great option. If you mean a single numeric type, like javascript, it unfortunately leads to a bunch of issues. Integers and floats really are both necessary very frequently. For example floats to represent something like speed, and ints to represent your bank balance. And you need different sizes of them (like float32 vs float64) are still necessary in a ton of applications, so you'll need them eventually if you want the language/numerics library to be truly general purpose. It's also a huge convenience to be able to apply e.g. `+` to arrays as well as numbers and other polymorphism niceties.
- DNF2 5y ago> I'd prefer if the language only had a single number type > But if you talk about the general problem of naming functions differently according to their types, I feel that it's perfectly OK. You and I have nothing in common in this entire world. Why on earth would you even want to touch Julia with 12 lightyear stick? The whole point of Julia is diametrically opposite to your preferences. Being opposed to multiple dispatch, polymorphism and generic programming, while 'liking' Julia, is similar to loving bycicles, but abhorring wheels.
- 5y ago