Python, Ruby, PHP, and Perl aren't "the rest of the world"? As far as compilers are concerned, all of those languages have more troublesome semantics than JavaScript does.
> And only the web world is so obssessed with smart compilers compensating (impressively, but still far from being sufficient) for multiple deficiencies in the language design.
You have no idea how much compilers have to compensate for the deficiencies in C and C++'s design.
And no, thank you kind sir, but I've got a very good idea of what compilers are doing wrt. C deficiencies, I was writing OpenCL compilers for 6 years at least. Besides aliasing stupidity and byte-addressing there is nothing really bad to compensate for.
asm.js and Web Assembly.
> Besides aliasing stupidity and byte-addressing there is nothing really bad to compensate for.
Aliasing issues, C++ heavy reliance on virtual methods, too many levels of indirection in the STL, overuse of signed integers due to "int" being easier to type interfering with loop analysis, const being useless for optimization, slow parsing of header files...
For example in JS, once you prove that "o.f = v" is not going to hit a setter (or you put a speculative check to that effect), then you know that this effect does not interfere with "v = o.g" (provided you check that it's not a getter). JS VMs are really good at speculating about getters and setters. The result is that alias analysis, and its clients like common subexpression elimination, are super effective. It's only a matter of time before we're creating function summaries that list all of the abstract heaps that a procedure can clobber so even a function call has bounded interference.
This is totally different from C. There, making sure that accesses to o->f and o->g don't interfere is like pulling teeth. And the user can force you to assume that they always interfere by using -fno-strict-aliasing, which is hugely popular.
The fallback-to-C paths on the web aren't that great, though. At least not yet. Once you fall back to C, you're sandboxed into a linear heap with limited access to the DOM and JS heap. But we'll fix that eventually. :-)
As for virtual methods, it is a problem of a bad C++, devirtualisation may help, but nobody cares in general. We have a cool curiously recurring template pattern instead.
But for the integers you're right. And signedness is still the most annoying source of bugs in the infamous LLVM instcombine.
Headers are a frontend issue, nothing to do with the optimisations.
That's because (a) page performance is frequently gated on things other than JavaScript, so people don't go through a lot of trouble to write C++; (b) many modules that would be written in C in Python are provided by the browser itself; (c) JS itself is usually fast enough, since the gap between JS and C++ is much less than the gap between Python and C++.
> As for virtual methods, it is a problem of a bad C++, devirtualisation may help, but nobody cares in general.
Huh? Tons of people care about devirtualization! Much of the reason Firefox builds go to the trouble of PGO (and it is a huge amount of trouble) is to get devirtualization.
> As for virtual methods, it is a problem of a bad C++
So I could say the same thing about JavaScript: if it's slow, you're writing "bad JS". But you would rightly reject that as invalid: if the code people write in practice is slow, then the problem is with the language encouraging people to write slow code. The point is that the same thing applies to C++.
As for C++ - there is a choice. With JS the choice is much more limited. You either rely on non-standard asm.js behaviour, lose DOM access with web assembly, or tolerate the stupidity and limitations of the language that far overgrown its tiny niche.
Btw., I am yet to hear how a language with a fixed syntax and no macros can be perceived as "highly expressive".
Also, what do you mean by level of indirection in the STL? Pointer chasing or, I suspect, layers of layers of tiny functions that need to be inlined for reasonable performance?
Which ones are these? All of the statically-typed and well-designed languages I can think of are, at the least, hard to compile well, if not hard to compile in the first place. (Haskell and Rust both come to mind; there are few Haskell compilers other than GHC, and no Rust compilers other than rustc.) The languages that are easier to compile are either not statically-typed in a useful way, or not well-designed, or both.
Edit: I was really referring to language families, so including things like OCaml, Modula, etc.
The frontend is usually the hard part IMO. In WebKit, we have 100,000 lines of code for our "frontend" (i.e. the DFG compiler) and 50,000 lines of code for our "backend" (i.e. B3). That split is really interesting.
Far as Ada, I figured it would be difficult due to the large number of language features and complexities of analyzing a program for safety w/ all its rules. And any interactions that might emerge in that between features and rules. Could be easier than I think but my default belief is that it's not easy.
Frontend was awful and I never finished it, but the LLVM-style backend wad very easy to build.
Is that really the case? It seems to me that a Prolog-like resolution system, coupled with a constraint solver, would get most of the job done with little effort.
There are certainly many rules to keep track of, but in some cases the newer rules are strict generalisations of the older rules. For example, Haskell's original type classes are just a special-case of modern multi-parameter, flexible instances/contexts, etc. type classes. Likewise, we can implement constraint kinds, type class instance resolution and type equalities using one constraint solver.
My usual approach to implementing a type system is to derive a flat list of Prolog equations out of the AST and leave it to Prolog for solving. If you ask what to do with error messages, I've got a comprehensive answer, but it is not for a mobile phone typing.
My approach to the typing error reporting is quite compatible with the Prolog codegen. What I do: for each AST node which produce one or more type equations I record the location data (cache it and give it an index), and then issue a Prolog term like this: with_location(Id, Term), for each of the terms generated by this location.
with_location semantics is simple, but may depend on the presence of a backtracking. If it's a plain Hindley-Milner, there is no backtracking, and it simply do call/1(Term), continue if true, store Id and the failed term with all the current bindings and fail/0() if false.
If there is a backtracking, I store a stack of location ids and failure reasons instead, but this required patching the Prolog execution engine a little bit (luckily, I'm using my own Prolog for this).
Now, the next step is to decipher the failed term. Most of the equations are in a trivial form: equals(A, B), so I simply report that prolog_to_type(A) failed to unify with prolog_to_type(B). For the other (rare) kinds of equations I define custom pretty-printing rules.
To me this is the difference between knowing that your program will probably work after it compiles, vs not knowing until after its deployed.
What I think people really enjoy in dynamic languages like JavaScript is the instant feedback, just reloading the browser. This can be accomplished with decent IDEs for most statically typed languages.