Here's an example where it's the bottleneck: ivy factorial

!1e7
1.20242340052e+65657059

)cpu
1m10s (1m10s user, 167.330ms sys)


-rob


On Tue, Jan 9, 2024 at 2:21 PM Bakul Shah <ba...@iitbombay.org> wrote:

> Perhaps you were thinking of this?
>
> At iteration number k, the value xk contains O(klog(k)) digits, thus the
> computation of xk+1 = kxk has cost O(klog(k)). Finally, the total cost
> with this basic approach is O(2log(2)+¼+n log(n)) = O(n2log(n)).
>
> A better approach is the *binary splitting* : it just consists in
> recursively cutting the product of m consecutive integers in half. It leads
> to better results when products on large integers are performed with a fast
> method.
>
> http://numbers.computation.free.fr/Constants/Algorithms/splitting.html
>
>
> I think you can do recursive splitting without using function recursion by
> allocating N/2 array (where b = a+N-1) and iterating over it; each time the
> array "shrinks" by half. A "cleverer" algorithm would allocate an array of
> *words* of a bignum, as you know that the upper limit on size is N*64 (for
> 64 bit numbers) so you can just reuse the same space for each outer
> iteration (N/2 multiplie, N/4 ...) and apply Karatsuba 2nd outer iteration
> onwards. Not sure if this is easy in Go.
>
> On Jan 8, 2024, at 11:47 AM, Robert Griesemer <g...@golang.org> wrote:
>
> Hello John;
>
> Thanks for your interest in this code.
>
> In a (long past) implementation of the factorial function, I noticed that
> computing a * (a+1) * (a+2) * ... (b-1) * b was much faster when computed
> in a recursive fashion than when computed iteratively: the reason (I
> believed) was that the iterative approach seemed to produce a lot more
> "internal fragmentation", that is medium-size intermediate results where
> the most significant word (or "limb" as is the term in other
> implementations) is only marginally used, resulting in more work than
> necessary if those words were fully used.
>
> I never fully investigated, it was enough at the time that the recursive
> approach was much faster. In retrospect, I don't quite believe my own
> theory. Also, that implementation didn't have Karatsuba multiplication, it
> just used grade-school multiplication.
>
> Since a, b are uint64 values (words), this could probably be implemented
> in terms of mulAddVWW directly, with a suitable initial allocation for the
> result - ideally this should just need one allocation (not sure how close
> we can get to the right size). That would cut down the allocations
> massively.
>
> In a next step, one should benchmark the implementation again.
>
> But at the very least, the overflow bug should be fixed, thanks for
> finding it! I will send out a CL to fix that today.
>
> Thanks,
> - gri
>
>
>
> On Sun, Jan 7, 2024 at 4:47 AM John Jannotti <janno...@gmail.com> wrote:
>
>> Actually, both implementations have bugs!
>>
>> The recursive implementation ends with:
>> ```
>> m := (a + b) / 2
>> return z.mul(nat(nil).mulRange(a, m), nat(nil).mulRange(m+1, b))
>> ```
>>
>> That's a bug whenever `(a+b)` overflows, making `m` small.
>> FIX: `m := a + (b-a)/2`
>>
>> My iterative implementation went into an infinite loop here:
>> `for m := a + 1; m <= b; m++ {`
>> if b is `math.MaxUint64`
>> FIX: add `&& m > a` to the exit condition is an easy fix, but pays a
>> small penalty for the vast majority of calls that don't have b=MaxUint64
>>
>> I would add these to `mulRangesN` of the unit test:
>> ```
>>  {math.MaxUint64 - 3, math.MaxUint64 - 1,
>> "6277101735386680760773248120919220245411599323494568951784"},
>> {math.MaxUint64 - 3, math.MaxUint64,
>> "115792089237316195360799967654821100226821973275796746098729803619699194331160"}
>> ```
>>
>> On Sun, Jan 7, 2024 at 6:34 AM John Jannotti <janno...@gmail.com> wrote:
>>
>>> I'm equally curious.
>>>
>>> FWIW, I realized the loop should perhaps be
>>> ```
>>> mb := nat(nil).setUint64(b) // ensure mb starts big enough for b, even
>>> on 32-bit arch
>>> for m := a + 1; m <= b; m++ {
>>>   mb.setUint64(m)
>>>   z = z.mul(z, mb)
>>> }
>>> ```
>>> to avoid allocating repeatedly for `m`, which yields:
>>> BenchmarkIterativeMulRangeN-10      354685      3032 ns/op    2129 B/op
>>>      48 allocs/op
>>>
>>> On Sun, Jan 7, 2024 at 2:41 AM Rob Pike <r...@golang.org> wrote:
>>>
>>>> It seems reasonable but first I'd like to understand why the recursive
>>>> method is used. I can't deduce why, but the CL that adds it, by gri, does
>>>> Karatsuba multiplication, which implies something deep is going on. I'll
>>>> add him to the conversation.
>>>>
>>>> -rob
>>>>
>>>>
>>>>
>>>>
>>>> On Sun, Jan 7, 2024 at 5:46 PM John Jannotti <janno...@gmail.com>
>>>> wrote:
>>>>
>>>>> I enjoy bignum implementations, so I was looking through nat.go and
>>>>> saw that `mulRange` is implemented in a surprising, recursive way,.  In 
>>>>> the
>>>>> non-base case, `mulRange(a, b)` returns `mulrange(a, (a+b)/2) *
>>>>> mulRange(1+(a+b)/2, b)` (lots of big.Int ceremony elided).
>>>>>
>>>>> That's fine, but I didn't see any advantage over the straightforward
>>>>> (and simpler?) for loop.
>>>>>
>>>>> ```
>>>>> z = z.setUint64(a)
>>>>> for m := a + 1; m <= b; m++ {
>>>>> z = z.mul(z, nat(nil).setUint64(m))
>>>>> }
>>>>> return z
>>>>> ```
>>>>>
>>>>> In fact, I suspected the existing code was slower, and allocated a lot
>>>>> more.  That seems true. A quick benchmark, using the existing unit test as
>>>>> the benchmark, yields
>>>>> BenchmarkRecusiveMulRangeN-10       169417       6856 ns/op     9452
>>>>> B/op      338 allocs/op
>>>>> BenchmarkIterativeMulRangeN-10       265354       4269 ns/op     2505
>>>>> B/op      196 allocs/op
>>>>>
>>>>> I doubt `mulRange` is a performance bottleneck in anyone's code! But
>>>>> it is exported as `int.MulRange` so I guess it's viewed with some value.
>>>>> And seeing as how the for-loop seems even easier to understand that the
>>>>> recursive version, maybe it's worth submitting a PR? (If so, should I
>>>>> create an issue first?)
>>>>>
>>>>>
>>>>>
>>>>>
>>>>> --
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>>>>> To view this discussion on the web visit
>>>>> https://groups.google.com/d/msgid/golang-nuts/e6ceb75a-f8b7-4f77-97dc-9445fb750782n%40googlegroups.com
>>>>> <https://groups.google.com/d/msgid/golang-nuts/e6ceb75a-f8b7-4f77-97dc-9445fb750782n%40googlegroups.com?utm_medium=email&utm_source=footer>
>>>>> .
>>>>>
>>>>
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