[charles-salvia]

Of course C doesn't map to all that. Neither do most of the MIPS emulators they actually use to teach MIPS assembly in universities. But it does map pretty well to basic loops/conditionals and other intro-to-programming stuff.

I mean, just write a simple C program that reads in argv[1] and then loops from 1 to atoi(argv[1]) doing fizzbuzz. Then compile the program (without optimization) and look at the generated assembly. I just did that on an x86_64 using gcc, and the generated assembly is pretty straightforward and maps pretty well to the actual C code.

The only part that doesn't neatly map to the C code is the boilerplate call-stack stuff, (subq instructions on the rsp register, etc.). But everything else maps rather neatly. The library calls to printf, etc. are mapped to a simple call instruction. It demonstrates how closely C code maps to the actual assembly for these sort of simple programs, which is what actually matters in a pedagogical environment.

This compared to similar Python code, where the actual op codes being executed would be vastly more complicated and less obviously related to the actual "business logic" of the program - you'd have constant incref/decref'ing of objects (assuming CPython), byte code execution in the main ceval loop, hash table lookups for globals, etc. etc. The point is C code maps much better to what the hardware is actually doing. Your arguments to the contrary (talking about vectorized instructions and GPU) are really just being nitpicky. That stuff can be covered later in more advanced courses.

[nickpsecurity]

Your facetious claim was that understanding how a modern computer works is best done by learning C. I said it's best done by learning how a modern computer works with classes on computer architecture with intros to fundamental techniques. The comment I'm replying to has good detail on ways C maps to computers better than most languages. Original claim is still false across the board where people capitalizing on underlying hardware are better off understanding various forms of computing followed by languages that take most advantage of each or most of them.