[AArch64] Unroll ScaleRowDown4Box_NEON

We can use wider load/store instructions and avoid the need to waste
half of the ADDP/RSHRN vector data. The duplicated UADDLP and UADALP
instructions also provide a good improvement on little cores due to
their limited out-of-order capability.

The mask in the "any" kernel definition is already set up to handle an
unrolling of eight so no change to scale_any.cc is needed.

Reduction in runtimes observed compared to the existing Neon
implementation:

 Cortex-A55: -19.5%
Cortex-A520: -38.3%
 Cortex-A76: -36.0%
Cortex-A715: -18.1%
Cortex-A720: -17.9%
  Cortex-X1: -25.4%
  Cortex-X2: -18.5%
  Cortex-X3:  -8.2%
  Cortex-X4:  -3.8%

Bug: b/42280945
Change-Id: Iebba5da4db5e25af4b9fa5651c7396364dedffba
Reviewed-on: https://chromium-review.googlesource.com/c/libyuv/libyuv/+/5725172
Reviewed-by: Frank Barchard <fbarchard@chromium.org>
1 file changed
tree: 3add1ce968c1b882b72ac05811d079c23aed65bd
  1. build_overrides/
  2. docs/
  3. include/
  4. infra/
  5. riscv_script/
  6. source/
  7. tools_libyuv/
  8. unit_test/
  9. util/
  10. .clang-format
  11. .gitignore
  12. .gn
  13. .vpython
  14. .vpython3
  15. Android.bp
  16. Android.mk
  17. AUTHORS
  18. BUILD.gn
  19. CM_linux_packages.cmake
  20. CMakeLists.txt
  21. codereview.settings
  22. DEPS
  23. DIR_METADATA
  24. download_vs_toolchain.py
  25. libyuv.gni
  26. libyuv.gyp
  27. libyuv.gypi
  28. LICENSE
  29. linux.mk
  30. OWNERS
  31. PATENTS
  32. PRESUBMIT.py
  33. public.mk
  34. pylintrc
  35. README.chromium
  36. README.md
  37. winarm.mk
README.md

libyuv is an open source project that includes YUV scaling and conversion functionality.

  • Scale YUV to prepare content for compression, with point, bilinear or box filter.
  • Convert to YUV from webcam formats for compression.
  • Convert to RGB formats for rendering/effects.
  • Rotate by 90/180/270 degrees to adjust for mobile devices in portrait mode.
  • Optimized for SSSE3/AVX2 on x86/x64.
  • Optimized for Neon on Arm.
  • Optimized for MSA on Mips.
  • Optimized for RVV on RISC-V.

Development

See Getting started for instructions on how to get started developing.

You can also browse the docs directory for more documentation.