Re: [PATCH] low performance of lib/sort.c , kernel 2.6.18

[keios <keios.cn@gmail.com>]

Yes, it is almost same as the first version, except a little
difference : descendants of node [r] is [r * 2 + 1] and [r * 2 + 2]
(comment:the size of element is ignored), but yours is [r * 2] and [r
* 2 + 1] .

The tree you build is :
      [0]
       |
      [1]
     /   \
   [2]   [3]
  /  \    /  \
[4]  [5][6]  [7]

Not same as standard tree :
      [0]
     /   \
   [1]   [2]
  /  \    /  \
[3]  [4][5]  [6]

We can find the standard algorithm here:
http://en.wikipedia.org/wiki/Heapsort .

So , in every shift-down operation (comment: In sort.c, it is after
heapify , second loop in /* sort */ section ), [0] will compare with
[0] and [1], and always swap with [1] . Performance lost here .

Acked-by: keios <keios.cn@gmail.com>

On 9/29/06, Matt Mackall <mpm@selenic.com> wrote:
> On Thu, Sep 28, 2006 at 11:18:45PM +0800, keios wrote:
> > It is a non-standard heap-sort algorithm implementation because the
> > index of child node is wrong . The sort function still outputs right
> > result, but the performance is O( n * ( log(n) + 1 ) ) , about 10% ~
> > 20% worse than standard algorithm .
> >
> > Signed-off-by: keios <keios.cn@gmail.com>
>
> Was a bit mystified by this as your patch matches what I've got
> in my userspace test harness from 2003.
>
> Here's what I submitted, which is almost the same as yours:
>
> http://www.kernel.org/pub/linux/kernel/people/akpm/patches/2.6/2.6.11-rc4/2.6.11-rc4-mm1/broken-out/lib-sort-heapsort-implementation-of-sort.patch
>
> Then Zou Nan hai sent Andrew a fix for an off-by-one bug here (merged
> with my patch):
>
> http://kernel.org/pub/linux/kernel/people/akpm/patches/2.6/2.6.11/2.6.11-mm1/broken-out/lib-sort-heapsort-implementation-of-sort.patch
>
> ..which introduced the performance regression.
>
> And then I subsequently tweaked my local copy for use in another
> project, coming up with your version.
>
> So this passes my test harness just fine (for both even and odd array
> sizes).
>
> Acked-by: Matt Mackall <mpm@selenic.com>
>
> --
> Mathematics is the supreme nostalgia of our time.
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