Yes. In my experience, you can make C as fast as Fortran, but it will be a lot more work (and you need more knowledge about the machine). Fortran's defaults are very strong when it comes to crunching numbers as quickly as possible. Multidimensional arrays with Matlab-like slicing and operations, implemented as performant as possible, is enough reason alone to stay with Fortran.

> Those scientists that are still using Fortran after all these years know what they're doing. It's not that they're ignorant of new technoglogy. A well-informed and open-minded CS person would probably end up using Fortran for these use cases, too.

Well, I'm sort of coming out of CS (computer engineering with focus on software) and I'm using it, so there ;)

Well, at least in anything that has really performant compilers. That's currently true for C, Fortran and Assembly, to some extent also C++. Between the first three, Fortran is by far the easiest to use for numerics - its syntax is in fact not much more difficult than Matlab. It's clunky in anything but numerical code (such as when you try to create a nice API or when you try to have generic methods), but at the end it still wins.