Clojure does not perform tail call optimization on its own: when you have a tail recursive function and you want to have it optimized, you have to use the special form recur. Similarly, if you have two mutually recursive functions, you can optimize them only by using trampoline.
The Scala compiler is able to perform TCO for a recursive function, but not for two mutually recursive functions.
Whenever I have read about these limitations, they were always ascribed to some limitation intrinsic to the JVM model. I know pretty much nothing about compilers, but this puzzles me a bit. Let me take the example from Programming Scala. Here the function
def approximate(guess: Double): Double =
if (isGoodEnough(guess)) guess
else approximate(improve(guess))
is translated into
0: aload_0
1: astore_3
2: aload_0
3: dload_1
4: invokevirtual #24; //Method isGoodEnough:(D)Z
7: ifeq
10: dload_1
11: dreturn
12: aload_0
13: dload_1
14: invokevirtual #27; //Method improve:(D)D
17: dstore_1
18: goto 2
So, at the bytecode level, one just needs goto. In this case, in fact, the hard work is done by the compiler.
What facility of the underlying virtual machine would allow the compiler to handle TCO more easily?
As a side note, I would not expect actual machines to be much smarter than the JVM. Still, many languages that compile to native code, such as Haskell, do not seem to have issues with optimizing tail calls (well, Haskell can have sometimes due to laziness, but that is another issue).
Now, I don’t know much about Clojure and little about Scala, but I’ll give it a shot.
First off, we need to differentiate between tail-CALLs and tail-RECURSION. Tail recursion is indeed rather easy to transform into a loop. With tail calls, it’s much harder to impossible in the general case. You need to know what is being called, but with polymorphism and/or first-class functions, you rarely know that, so the compiler cannot know how to replace the call. Only at runtime you know the target code and can jump there without allocating another stack frame. For instance, the following fragment has a tail call and does not need any stack space when properly optimized (including TCO), yet it cannot be eliminated when compiling for the JVM:
function forward(obj: Callable<int, int>, arg: int) =
let arg1 <- arg + 1 in obj.call(arg1)
While it’s just a tad inefficient here, there are whole programming styles (such as Continuation Passing Style or CPS) which have tons of tail calls and rarely ever return. Doing that without full TCO means you can only run tiny bits of code before running out of stack space.
What facility of the underlying virtual machine would allow the compiler to handle TCO more easily?
A tail call instruction, such as in the Lua 5.1 VM. Your example does not get much simpler. Mine becomes something like this:
push arg
push 1
add
load obj
tailcall Callable.call
// implicit return; stack frame was recycled
As a sidenote, I would not expect actual machines to be much smarter than the JVM.
You’re right, they aren’t. In fact, they are less smart and thus don’t even know (much) about things like stack frames. That’s precisely why one can pull tricks like re-using stack space and jumping to code without pushing a return address.
12
Clojure could perform automatic optimisation of tail recursion into loops: it is certainly possible to do this on the JVM as Scala proves.
It was actually a design decision not to do this – you have to explicitly use the recur special form if you want this feature. See the mail thread Re: Why no tail call optimization on the Clojure google group.
On the current JVM, the only thing that is impossible to do is tail call optimisation between different functions (mutual recursion). This isn’t particularly complex to implement (other languages like Scheme have had this feature from the beginning) but it would require changes to the JVM spec. For example, you’d have to change the rules about preserving the complete function call stack.
A future iteration of the JVM is likely to get this capability, though probably as an option so that backwards compatible behaviour for old code is maintained. Say, Features Preview at Geeknizer lists this for Java 9:
Adding tail calls and continuations…
Of course, future roadmaps are always subject to change.
As it turns out, it’s not that big a deal anyway. In over 2 years of coding Clojure, I have never run into a situation where the lack of TCO was an issue. The main reasons for this are:
- You can already get fast tail recursion for 99% of common cases with
recuror a loop. The mutual tail recursion case is pretty rare in normal code - Even when you need mutual recursion, often the recursion depth is shallow enough that you can just do it on the stack anyway without TCO. TCO is just an “optimisation” after all….
- In the very rare cases where you do need some form of non-stack-consuming mutual recursion there are plenty of other alternative that can achieve the same goal: lazy sequences, trampolines etc.
2
As a sidenote, I would not expect actual machines to be much smarter than the JVM.
It’s not about being smarter, but about being different. Until recently, the JVM was designed and optimized exclusively for a single language (Java, obviously), which has very strict memory and calling models.
Not only there wasn’t any goto or pointers, there wasn’t even any way to call a ‘bare’ function (one that wasn’t a method defined within a class).
Conceptually, when targeting JVM, a compiler writer has to ask “how can I express this concept in Java terms?”. And obviously, there’s no way to express TCO in Java.
Note that these aren’t seen as failures of JVM, because they aren’t needed for Java. As soon as Java needed some feature like these, it is added to JVM.
It’s only recently that the Java authorities started taking seriously JVM as a platform for non-Java languages, so it has already gained some support for features that have no Java equivalent. The best known is dynamic typing, which is already in JVM but not in Java.
So, at the bytecode level, one just needs goto. In this case, in fact,
the hard work is done by the compiler.
Have you noticed that the method address starts with 0? That all methods ofsets start with 0? JVM doesn’t allow one to jump outside a method.
I have no idea what would happen with a branch with offset outside the method was loaded by java — maybe it would be caught by the bytecode verifier, maybe it would generate an exception, and maybe it would actually jump outside the method.
The problem, of course, is that you can’t really guarantee where other methods of the same class will be, much less methods of other classes. I doubt JVM makes any guarantees about where it will load the methods, though I’d be happy to be corrected.
1