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The existing Neon code only makes use of 64-bit vectors throughout which limits the performance on larger cores. To avoid this, swap the Neon code from a Wx8 implementation to a Wx16 implementation and process blocks of 16 full vectors at a time. The original code also handled widths that were not exact multiples of 16, however this should already be handled by the "any" kernel so it is removed. Finally, avoid duplicating the TransposeWx16_C fallback kernel definition in all architectures that need it, and just put it once in rotate_common.cc instead. Observed speedups for TransposePlane across a range of micro-architectures: Cortex-A53: -40.0% Cortex-A55: -20.7% Cortex-A57: -43.9% Cortex-A510: -43.5% Cortex-A520: -43.9% Cortex-A720: -31.1% Cortex-X2: -38.3% Cortex-X4: -43.6% Change-Id: Ic7c4d5f24eb27091d743ddc00cd95ef178b6984e Reviewed-on: https://chromium-review.googlesource.com/c/libyuv/libyuv/+/5545459 Reviewed-by: Frank Barchard <fbarchard@chromium.org> |
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| docs | ||
| include | ||
| infra/config | ||
| riscv_script | ||
| source | ||
| tools_libyuv | ||
| unit_test | ||
| util | ||
| .clang-format | ||
| .gitignore | ||
| .gn | ||
| .vpython | ||
| .vpython3 | ||
| Android.bp | ||
| Android.mk | ||
| AUTHORS | ||
| BUILD.gn | ||
| CM_linux_packages.cmake | ||
| CMakeLists.txt | ||
| codereview.settings | ||
| DEPS | ||
| DIR_METADATA | ||
| download_vs_toolchain.py | ||
| libyuv.gni | ||
| libyuv.gyp | ||
| libyuv.gypi | ||
| LICENSE | ||
| linux.mk | ||
| OWNERS | ||
| PATENTS | ||
| PRESUBMIT.py | ||
| public.mk | ||
| pylintrc | ||
| README.chromium | ||
| README.md | ||
| winarm.mk | ||
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.