Frank Barchard ec29aca502 [libyuv] Optimize CalcFrameSsim with 2-row 4x4 tile buffer and SIMD
Refactor CalcFrameSsim to decompose overlapping 8x8 SSIM windows
(stepped by 4 pixels horizontally and vertically) into non-overlapping
4x4 pixel tiles across a 2-row rotating buffer (row0, row1), reducing
memory reads and pixel accumulation work by 4x:
- Ssim4x4Row_* computes 4 uint32_t stats {sum_a, sum_b, sum_sq_ab,
  sum_axb} per 4x4 pixel tile across a 4-row strip (also sized to fit
  future 10-bit/12-bit formats like I010 without uint32_t overflow).
- SsimWindowRow_C combines top and bottom 4x4 tile strips across
  adjacent horizontal pairs and returns the exact double SSIM sum,
  producing bit-identical results to Ssim8x8_C.
- CalcFrameSsim rotates row0 and row1 (with thread-local buffers and
  continuity tracking under _OPENMP) and falls back to Ssim8x8_C only
  if buffer allocation fails.
- Implement Ssim4x4Row across all SIMD architectures:
  - x86/x64: Ssim4x4Row_SSE2, Ssim4x4Row_AVX2, and Ssim4x4Row_AVX512BW
    (with k-masked tail handling for 4..60 pixels) in both
    compare_gcc.cc and compare_win.cc.
  - ARM: Ssim4x4Row_NEON (compare_neon.cc, compare_neon64.cc),
    Ssim4x4Row_NEON_DotProd (compare_neon64.cc), Ssim4x4Row_SVE2
    (row_sve.h, row_sve.cc), and Ssim4x4Row_SME (row_sme.cc).
  - RISC-V: Ssim4x4Row_RVV (row_rvv.cc).
  - LoongArch: Ssim4x4Row_LSX (row_lsx.cc) and Ssim4x4Row_LASX
    (row_lasx.cc).
  - WebAssembly: Ssim4x4Row_WASMSIMD (compare_wasm.cc).
- Enable BenchmarkSsim_Opt and add BenchmarkSsim_Unaligned and
  TestSsimAnyWidth in unit_test/compare_test.cc.

BenchmarkSsim_Opt (1280x720, single core, us/frame):
uArch                             Before (C)   After (us)  Improvement
--------------------------------  ----------  -----------  -----------
Intel Lion Cove (AVX2)                356.33       119.09        2.99x
AMD Zen 6 (AVX512BW)                  455.86       124.67        3.66x
AMD Zen 5 (AVX512BW)                  518.91       128.29        4.04x
Intel Emerald Rapids (AVX512BW)       601.58       180.41        3.33x
Intel Cougar Cove (AVX2)              608.11       183.34        3.32x
Intel Granite Rapids (AVX512BW)       596.57       187.04        3.19x
Intel Golden Cove (AVX2)              534.58       187.93        2.84x
Intel Sapphire Rapids (AVX512BW)      634.36       189.92        3.34x
AMD Zen 4 (AVX512BW)                  713.06       223.65        3.19x
Intel Skymont (SSE2)                  445.99       250.52        1.78x
Intel Ice Lake (AVX512BW)             845.16       267.23        3.16x
AMD Zen 3 (AVX2)                      741.02       267.38        2.77x
AMD Zen 2 (AVX2)                      907.04       301.02        3.01x
Intel Skylake-X (AVX512BW)           1097.86       301.63        3.64x
Intel Darkmont (SSE2)                 772.18       383.39        2.01x
Intel Gracemont (SSE2)                961.80       421.83        2.28x
Intel Haswell (AVX2)                 1159.74       479.14        2.42x
Intel Ivy Bridge (SSE2)              1296.99       597.32        2.17x
Apple M6 Super (SME)                  404.66        90.09        4.49x
Apple M6 Perf (DotProd)               444.72       104.59        4.25x
Qualcomm Oryon-L (DotProd)            490.76       108.79        4.51x
Qualcomm Oryon V3-L (SVE2)            663.13       150.75        4.40x
ARM Cortex-X4 (DotProd)               620.21       177.29        3.50x
ARM Neoverse-V2 (SVE2)                682.93       205.18        3.33x
ARM Cortex-X3 (DotProd)               737.38       226.24        3.26x
ARM C1-Ultra (DotProd)                596.71       229.10        2.60x
ARM Cortex-X2 (DotProd)               820.94       247.94        3.31x
Qualcomm Oryon-M (DotProd)           1146.09       257.89        4.44x
Qualcomm Oryon V3-M (SME)            1068.78       276.23        3.87x
ARM Cortex-A720 (DotProd)             993.59       292.62        3.40x
ARM Cortex-X1 (DotProd)               912.19       326.44        2.79x
ARM Cortex-A715 (DotProd)            1135.67       340.12        3.34x
ARM Cortex-A710 (DotProd)            1222.04       342.51        3.57x
ARM Neoverse-N1 (DotProd)            1406.72       376.46        3.74x
ARM Cortex-A725 (SVE2)               1104.13       376.86        2.93x
ARM C1-Pro (SVE2)                    1073.69       413.97        2.59x
ARM Cortex-A76 (DotProd)             1491.02       423.58        3.52x
ARM Cortex-A78 (DotProd)             1503.73       485.00        3.10x
AmpereOne (DotProd)                  1518.61       518.40        2.93x
Apple M6 Eff (DotProd)               4051.10       572.93        7.07x
ARM Cortex-A75 (NEON)                2055.04       812.09        2.53x
ARM Cortex-A520 (DotProd)            3307.98       963.86        3.43x
ARM Cortex-A73 (NEON)                3120.09      1180.17        2.64x
Qualcomm Kryo Perf (NEON)            4921.16      1459.77        3.37x
ARM Cortex-A510 (DotProd)            4645.10      1641.06        2.83x
ARM Cortex-A55 (DotProd)             4571.02      1672.09        2.73x
Qualcomm Kryo Eff (NEON)             6000.96      1796.17        3.34x
ARM Cortex-A55r0 (NEON)             10486.61      4358.61        2.41x
ARM Cortex-A53 (NEON)               10121.34      5700.99        1.78x

R=rrwinterton@gmail.com

Bug: None
Test: out/Release/libyuv_unittest --gtest_filter=*Ssim*
Change-Id: Ibb95ae74424ecdda073ab7ab10ab1cf610b121b6
Reviewed-on: https://chromium-review.googlesource.com/c/libyuv/libyuv/+/8593040
Reviewed-by: richard winterton <rrwinterton@gmail.com>
Commit-Queue: Frank Barchard <fbarchard@google.com>
2026-10-15 23:22:58 -07:00
..
libyuv [libyuv] Optimize CalcFrameSsim with 2-row 4x4 tile buffer and SIMD 2026-10-15 23:22:58 -07:00
libyuv.h libyuv.h: Add scale_rgb.h and remove scale_row.h 2026-08-26 19:06:22 -07:00