[AArch64] Add SVE2 implementations for ARGBToUVRow and similar

By maintaining the interleaved format of the data we can use a common
kernel for all input channel orderings and simply pass a different
vector of constants instead.

A similar approach is possible with only Neon by making use of
multiplies and repeated application of ADDP to combine channels, however
this is slower on older cores like Cortex-A53 so is not pursued further.

For odd problem sizes we need a slightly different implementation for
the final element, so introduce an "any" kernel to address that rather
than bloating the code for the common case.

Observed affect on runtimes compared to the existing Neon kernels:

             | Cortex-A510 | Cortex-A720 | Cortex-X2
ABGRToUVJRow |      -15.5% |       +5.4% |    -33.1%
 ABGRToUVRow |      -15.6% |       +5.3% |    -35.9%
ARGBToUVJRow |      -10.1% |       +5.4% |    -32.7%
 ARGBToUVRow |      -10.1% |       +5.4% |    -29.3%
 BGRAToUVRow |      -15.5% |       +4.6% |    -32.8%
 RGBAToUVRow |      -10.1% |       +4.2% |    -36.0%

Bug: libyuv:973
Change-Id: I041ca44db0ae8a2adffcdf24e822eebe962baf33
Reviewed-on: https://chromium-review.googlesource.com/c/libyuv/libyuv/+/5505537
Reviewed-by: Frank Barchard <fbarchard@chromium.org>
Commit-Queue: Frank Barchard <fbarchard@chromium.org>
5 files changed
tree: eaf9d02b921cbd553c5cdc61059bac88f7c76160
  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.