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Generic Red-Black Trees: preliminary performance results

DISCUSSION Daniel Santos 1 participant 1 message Jul 10, 2012 Sparse checker

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I've completed some rudimentary test code. It is designed to compile both in user & kernel space but only currently compiles in userland. I ran this on 9 different versions of gcc, all on x86_64 with CFLAGS="-O2 -g3 -pipe -march=k8". The below summary data shows the % increase in time consumed (decrease in performance) using my generic red-black trees over hand-coded functions for insertion.

gcc ver % decrease in speed
4.7.1 -5.39%
4.6.2 2.60%

4.5.3       18.07%
4.4.6       20.52%
4.3.6       13.53%
4.2.4       11.84%
4.1.2       16.36%
4.0.4       35.70%
3.4.6       47.28%

I don't understand why the generic code ran faster than hand-coded on gcc 4.7.1 as I haven't examined the assembly output yet. However, I'm pretty certain I understand why it was 2% slower on 4.6. This has to do with an optimization flaw. In the hand-coded insert/find functions, I used the "if (a->key > b->key) .. else if (a->key < b->key)" construct, where as the generic code calculates a diff and compares that against zero and 4.6.2 is adding an unnecessary cmp instruction:

 3f2:   8b 48 18                mov    0x18(%rax),%ecx
 3f5:   8b 7a 18                mov    0x18(%rdx),%edi
 3f8:   48 29 f9                sub    %rdi,%rcx
 3fb:   48 83 f9 00             cmp    $0x0,%rcx
 3ff:   7f df                   jg     3e0 <grbtest_insert+0xb0>
 401:   0f 84 c9 00 00 00       je     4d0 <grbtest_insert+0x1a0>

The test configuration was for a tree that tracks both leftmost, rightmost and count and uses unique keys where the insert function replaces an existing object. These tests weren't ideal. While I allocated 4096 objects (32 bytes each) to stick in my tree, I used 0xff for a key mask, so only 256 object would be in the tree at once and I didn't notice this until I was most of the way through the tests. My intention was to run the test with a data set small enough to fit into the L3 cache, so as to reduce overhead from memory access and isolate the actual differences in the algorithm.

When I get this all cleaned up, I'll release another patch set with the test code added. (This also automates correctness tests for find, insert, find_near and insert_near). Also, I'm going to experiment with branch prediction to see if I can squeeze a little more performance out of the older compilers.

Daniel