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goerz | 5 months ago

Even better: Julia (although Fortran is pretty good!)

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adgjlsfhk1|5 months ago

I translated the jacobi example to julia, and it does seem to address every one of his gripes with Python.

cbolton|5 months ago

I think his main point is about strict typing in Fortran. You can add type annotations in Julia but it's almost an anti-pattern if you don't need them e.g. for dispatch. In any case the type annotations in these examples would be quite unnecessary, unlike in Fortran (where as I understand you can at best enable implicit typing but then must use variable names with specific patterns).

QuadmasterXLII|5 months ago

I love julia, but the default workflow is

Step 1) Write the function using high level abstractions Step 2) Glance over the generated assembly and make sure that it vectorized the way you wanted.

mofeing|5 months ago

> Glance over the generated assembly and make sure that it vectorized the way you wanted.

Isn't that sth you would also need to do in Fortran? IMO Julia makes this so easy with its `@code_*` macros and is one of the main reasons why I use it.

TimorousBestie|5 months ago

This is the default workflow in every high-level language. Even if I’m writing explicit SIMD intrinsics in C targeting a specific processor, I still have to benchmark and maybe look at the assembly to make sure it did what I intended (or something better).