Sorry for the double post, but good news everyone: I just did compilation with profiling. Smoothsort is twice faster than std::sort on sorted input, up to 5 times slower on random input. My benchmark output, on a vector of size 1,000,000 : std::sort running time: 0.171 s std::sort running time (sorted): 0.082 s Smoothsort running time: 0.6 s Smoothsort running time (sorted): 0.035 s Now I must figure out why without profiling I dont have good performances. Maybe there's some built-in optimization in MS' compiler when it encounters its own std::sort? -- Edouard
-----Original Message----- From: boost-bounces@lists.boost.org [mailto:boost- bounces@lists.boost.org] On Behalf Of Christopher Jefferson Sent: dimanche 14 décembre 2008 16:06 To: boost@lists.boost.org Subject: Re: [boost] [library submission] smoothsort
I would certainly be interested in such a library.
Have you benchmarked it against std::sort in any compilers?
Chris
On 14 Dec 2008, at 14:18, Edouard A. wrote:
Hello,
I just finished a C++ implementation of the smoothsort algorithm (a derivative of the heapsort algorithm by Dijkstra that, in his words, "is of order N log N in the worst case, but of order N in the best case, with a smooth transition between the two").
When sorting nearly sorted containers smoothsort achieves excellent performances. If you keep sorting the same container, smoothsort may be the right algorithm for you.
This implementation works on all sortable containers, with best performances on containers supporting random access iterators (in other words, smoothsorting a std::list is quite slow). It only requires the "<" operator between two elements and the user can supply the function with a binary predicate.
To my knowledge, there is no equivalent public C++ implementation.
I was wondering if this was interesting enough to be included in the boost library.
Kind regards.
--
Edouard Alligand
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