John Hughes wrote:
The trouble is that this isn't always an optimisation. Try these two
programs:

powerset [] = [[]]
powerset (x:xs) = powerset xs++map (x:) (powerset xs)

and

powerset [] = [[]]
powerset (x:xs) = pxs++map (x:) pxs
 where pxs = powerset xs

Try computing length (powerset [1..n]) with each definition. For small
n, the second is faster. As n gets larger, the second gets slower and
slower, but the first keeps chugging along. The problem is that the
second has exponentially higher peak memory requirements than the
first. Round about n=25, on my machine, all other programs stop responding
while the second one runs. You don't really want a compiler to make
that kind of "pessimisation" to your program, which is why it's a
deliberate decision to leave most CSE to the programmer. You can
still write the second version, and suffer the consequences, but at least you know
it's your own fault!

Thanks for the above example. I found it quite difficult to understand why the second is worse than the first for large n, but I think the reason is that you're using the second def in conjunction with (length). Therefore it is the *combination* of the cse'd (powerset) with (length) that is less efficient, because (length) just reads its input as a stream so there is no need for the whole of (powerset xs) to exist in memory thus the non cse'd version gives a faster (length . powerset).

Ideally it would be great if the compiler could make use of the context in which a function is being applied to produce optimized code across function boundaries. In the above example of (length . powerset), (length) has no interest in the contents of the powerset itself so could the compiler not fuse (length . powerset) into the following function:

   lengthPowerset [] = 1
   lengthPowerset (x:xs) = 2 * lengthPowerset xs

The compiler would need to analyse the definition of (++) and (map) to discover that

   length (x ++ y) === length x + length y

   length (map f y) === length y

and with that knowledge I imagine the steps could be something like:

   lengthPowerset [] = length (powerset []) = length ([[]]) = 1

   lengthPowerset (x:xs)
       = length (powerset xs ++ map (:x) (powerset xs))
       = length (powerset xs) + length (map (:x) (powerset xs))
       = length (powerset xs) + length (powerset xs)
       = lengthPowerset xs + lengthPowerset xs
       = 2 * lengthPowerset xs

After getting the function (lengthPowerset) as above, I'd also expect the compiler to apply a transformation into a tail recursive function:

   lengthPowerset y = lengthPowerset' y 1
       where
           lengthPowerset' [] i = i
           lengthPowerset' (_:xs) i = lengthPowerset' xs $! 2*i

resulting in a tightly coded machine code loop to rival, or greatly exceed(!), the best efforts of C.

In the meantime I tend to code in Haskell just expecting these kind of optimizations to be done (unless I'm writing a really time-critical piece of code that can't wait), knowing of course that they might not be done just at the moment but at least some time in the (hopefully not too distant) future... ;-)

Regards, Brian.
--
Logic empowers us and Love gives us purpose.
Yet still phantoms restless for eras long past,
congealed in the present in unthought forms,
strive mightily unseen to destroy us.

http://www.metamilk.com
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