1. Made speed choices to be progressive
2. Adjusted rt speed settings to achieve better speed/quality
Overall, rt-5 gained 2.5% in compression/quality, encoding time of 720p
niklas clip goes from 137,052ms to 121,874ms
Change-Id: Ia6e7e1e15225395a868a2f1059c3db8e266e1600
This commit further optimizes SSE2 operations in the second 1-D
inverse 16x16 DCT, with (<10) non-zero coefficients. The average
runtime of this module goes down from 779 cycles -> 725 cycles.
Change-Id: Iac31b123640d9b1e8f906e770702936b71f0ba7f
Optimizing all SSSE3 assembly for convolution:
1. vp9_filter_block1d4_h8_sse2
2. vp9_filter_block1d8_h8_sse2
3. vp9_filter_block1d16_h8_sse2
4. vp9_filter_block1d4_v8_sse2
5. vp9_filter_block1d8_v8_sse2
6. vp9_filter_block1d16_v8_sse2
my optimization include:
-processing 2x8 elements in one 128 bit register instead of processing
8 elements in one 128 bit register.
-removing unecessary loads.
This optimization gives between 2.4% user level gain for 480p input
and 1.6% user level gain for 720p.
This Optimization done only for 64bit.
Change-Id: Icb586dc0c938b56699864fcee6c52fd43b36b969
Move the code outside the conditions. The test sources themselves are
also required for Visual Studio.
Change-Id: Id5e93ebc7369e1807eba0b9dc4f7d0f18033d794
This commit is the first patch optimizing SSE2 implementation of inverse
16x16 DCT with <10 non-zero coefficients. It focused on the first 1-D (row)
transformation. It exploits the fact that only top-left 4x4 block contains
non-zero coefficients, in a 2-D inverse 16x16 DCT with <10 coeffients.
The average runtime of idct16x16_10 unit is reduced from
883 cycles -> 779 cycles (12% faster).
For pedestrian_area_1080p 300 frames at 4000 kbps, the speed 2 runtime goes
down from 310651 ms -> 305910 ms. The decoding speed goes up from
80.37 fps -> 80.87 fps.
Change-Id: Ic6f3ac5a637a76c07ba73ddaafe318a699fea645
Optimizing the variance functions: vp9_variance16x16, vp9_variance32x32,
vp9_variance64x64, vp9_variance32x16, vp9_variance64x32,
vp9_mse16x16 by migrating to AVX2
some of the functions were optimized by processing 32 elements instead of 16.
some of the functions were optimized by processing 2 loop strides of 16
elements in a single 256 bit register
This optimization gives between 2.4% - 2.7% user level performance gain
and 42% function level gain.
Change-Id: I265ae08a2b0196057a224a86450153ef3aebd85d
Fix miss alignment of the frames contributing to the
error score and bit allocation for gf/arf groups.
Initial results slightly +.
Change-Id: Ie508bdcfdac52e592d48e1f13e01b3551b523deb
Some cleanups on frames_to_key, frames_since_key.
Also removes the unused fixed_q parameters in vp9.
Change-Id: If8743a32c71de30a8d17136477b53d607a7acda8
The previous implementation stops motion vector prediction test when
the zero motion vector appears for the second time. This commit fixes
it by simply skipping the second time check on zero mv and continuing
on to next mv candidate.
It slightly improves stdhd in speed 2 by 0.06% on average. Most static
sequences are not affected. A few hard ones, like jet, ped, and riverbed
were improved by 0.1 - 0.2%.
Change-Id: Ia8d4e2ffb7136669e8ad1fb24ea6e8fdd6b9a3c1
