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chromium / libyuv / libyuv / 2dfb84b311c064dd0d2872c2f94607cf8d0aaf9c
commit2dfb84b311c064dd0d2872c2f94607cf8d0aaf9c[log] [tgz]
authorGeorge Steed <george.steed@arm.com>Mon Apr 22 10:21:48 2024
committerFrank Barchard <fbarchard@chromium.org>Mon Sep 16 04:33:22 2024
tree19cd27675148c095e586d8250d99836fc157822f
parent432d186116eaef53671152b32131afb2c799c1dc [diff]
[AArch64] Unroll to use full vectors in ARGBToARGB1555Row_NEON

By loading packed 16-bit AR/GB data and operating on that directly we
avoid the need to perform a separate widening step before the
conversion.

Reduction in runtime observed compared to the existing Neon code:

 Cortex-A55: -13.2%
Cortex-A510:  -5.4%
 Cortex-A76: -21.5%
Cortex-A720: -25.2%
  Cortex-X1: -50.6%
  Cortex-X2: -36.8%

Bug: b/42280945
Change-Id: I780c71fdff1d017464c6e4e38f86979dda0e43ad
Reviewed-on: https://chromium-review.googlesource.com/c/libyuv/libyuv/+/5790973
Reviewed-by: Frank Barchard <fbarchard@chromium.org>
Reviewed-by: Justin Green <greenjustin@google.com>
1 file changed
tree: 19cd27675148c095e586d8250d99836fc157822f
  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.