[AArch64] Unroll ARGB1555ToARGBRow_NEON to use full Neon vectors

Processing more data per loop iteration means that we can use the full
128-bit Neon vectors and also allows us to use e.g. UZP1 to perform XTN
+ XTN2 in a single instruction.

The early Cortex-X cores are not a fan of ST4 .16b with a
post-increment, so split out the pointer increment to a separate
instruction to avoid this bottleneck.

Reductions in runtime observed for ARGB1555ToARGBRow_NEON:

 Cortex-A55: -18.1%
Cortex-A510: -11.2%
Cortex-A520: -39.5%
 Cortex-A76: -18.0%
Cortex-A715: -34.8%
Cortex-A720: -34.8%
  Cortex-X1:  -0.9%
  Cortex-X2:  -4.6%
  Cortex-X3:  -3.6%
  Cortex-X4: -20.8%

Bug: libyuv:976
Change-Id: Iae2ac24ffdbc718cd1e05bb77191f8d1df3fcf6f
Reviewed-on: https://chromium-review.googlesource.com/c/libyuv/libyuv/+/5790975
Reviewed-by: Frank Barchard <fbarchard@chromium.org>
Reviewed-by: Justin Green <greenjustin@google.com>
3 files changed
tree: 5a90ee5285e107ec34ae4feca7a931e4ce0cef8b
  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.