It seems that JIT is overloaded with at least 2 meaning.
The canonical definition of JIT is "compilation during execution of a program". Usually, a program is being interpreted first, then switches to compiled code in the middle of execution. This is not what this article does.
What this article does is sometimes called on-the-fly AOT, or just on-the-fly compilation. I'd prefer not overloading the term "JIT".
I always took the distinction to be the executable memory bit as opposed to writing an executable and then launching it in the usual way. Of course high performance runtimes that contain JITs do typically interpret first in order to get type information and reduce startup latency, but that’s more a function of the language not being efficiently AOT compileable rather than fundamental to the concept of a JIT
Can you explain what mean by a “language not being efficiently AOT compileable”? I am guessing you are referring to languages that emphasize REPL based development or languages that are ‘image’ based (I think Smalltalk is the most common example).
Like the guesses above, I can understand difficulty with AOT compilation in conjunction with certain use cases; however, I can not think of a language that based on its definition would be less amenable to AOT compilation.
In that sense almost every compiled Lisp/Scheme implementation, GHC, etc. or any other interactive programming system, count as JIT. But virtually nobody in those circles refer to such implementations as JIT. Instead, people says "I wish our implementation was JIT to benefit from all those optimizations it enables"!
Following is the closed form solution linked in the article (from a since-deleted Reddit comment):
from functools import reduce
def recurrence(ops, a0, n):
def transform(x, op):
return eval(repr(x) + op)
ops = ops.split()
m = reduce(transform, [op for op in ops if op[0] in ('*', '/')], 1)
b = reduce(transform, ops, 0)
for k in range(n + 1):
print('Term 0: ', a0 * m ** k + b * (m ** k - 1) / (m - 1))
> This is really only interesting if a particular (potentially really large) term of the sequence is desired, as opposed to all terms up to a point. The key observation is that any sequence of the given set of operations reduces to a linear recurrence which has the given solution.
Is it just me or is the author using static wrong? Someone mentioned it in the thread on the previous post, where it felt more like an oversight. But in this article it seems much more like an actual misunderstanding. Should it actually be the function level static variable? I feel like in the right context the optimizer might be able to leave that in a register if there the calling function is in the compilation unit.
The canonical definition of JIT is "compilation during execution of a program". Usually, a program is being interpreted first, then switches to compiled code in the middle of execution. This is not what this article does.
What this article does is sometimes called on-the-fly AOT, or just on-the-fly compilation. I'd prefer not overloading the term "JIT".
Like the guesses above, I can understand difficulty with AOT compilation in conjunction with certain use cases; however, I can not think of a language that based on its definition would be less amenable to AOT compilation.
EDIT: at least GHC seems to be a traditional AOT compiler.