uClibc++ associative_base performance

Asier Llano Palacios a.llano at usyscom.com
Wed Jul 4 07:18:58 UTC 2007


Quick performance analysis. I think I'm maybe biassed by the tests I've
been performing, but I'd like to contribute a performance bump to uClibc
++, and I'd like to know your point of view.

Current performance situtation
==============================
Timing:
uClibc++-0.2.1: My test spent 9 seconds.
uClibc++-0.2.2: My test spent 1 minutes and 30 seconds (aprox).
Target time: Less than 1 second.

General analysis:
After some profiling I realized that most of the time is spent in
std::map operations. In 0.2.1 the time is spent in the std::map::insert
operation, and in uClibc++-0.2.2 the time is mostly spent in the
std::map::find operation.

Performance by operation:
Having a look at the algorithms used in the associative containers in
uClibc++ I've been looking which operations are not scalable. We will
have a look at the media of the timing spent for each operation as a
function of the number of elements in the collection.
uClibc++-0.2.1:
  find    = O(log(n))  <--- Binary search (fast)
  insert  = O(n)       <--- Binary search, but linear storage (slow)
  iterate = O(1)
uClibc++-0.2.2:
  find    = O(n)  <-- Linear search (very slow)
  insert  = O(n)  <-- Linear search to insert (because of the find)
  iterate = O(1)

What I'd like to contribute
===========================
I'd like to contribute a performance improvement in every associative
container by improving the associative_base. This way the set, mset, map
and mmap. I'll try to implement it so that it still passes the same
number of tests with the following timing:
  find    = O(log(n))  <-- binary search in a tree
  insert  = O(log(n))  <-- binary search, tree bouncing.
  iterate = O(1)       <-- walking in a tree (it will be slower than
                           the previous but will not grow with n).

Of course, I wan't to mantain:
  - Small code, small binary size and small memory footprint
  - Iterators point to the same position even after element insertion
    and deletion.

You'll have news about this implementation as soon as I finish it.

Licensing
=========
The only thing I don't like about uClibc++ is its LGPL license, its
quite restrictive to me. I work for an enterprise where I develop and
contribute all the general purpose code (the code that is not specific
for our application). I consider myself a community contributor. I use
uClibc++ and I have other application specific libraries (that I don't
see the point of sharing them, because they are too specific of our
embedded architecture). Even if I contribute the other libraries I
wouldn't contribute them under LGPL. While mantaining the source code
like it is now, I would like to build the uClibc++ and my specific
libraries in one shared library to make the binary size of the code
smaller (having only one "general purpose for me" shared library). I've
tested it and I could gain some binary size by joining both libraries
compilation. I think that I cannot join LGPL and other binary code in a
single library. Is there any possibility to have a less restrictive
license (like X11 or BSD)?. I don't want to fork, nor sell uClibc++, I
only want to have linking flexibility with uClibc++ and some non LGPL
code.

Thank you, 
Asier 
 
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