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Behdad Esfahbod 35681b3edb [benchmark-shape] Break lines and shape separately 2022-04-29 16:02:55 -06:00
..
fonts [perf] Err. Remove HUGE font from perf suite 2022-04-21 13:51:37 -06:00
texts Rename HBGlyphID to HBGlyphID16 2021-09-19 16:30:12 -04:00
README.md [perf] Add missing ninja command in profiling instructions. 2022-04-21 11:16:12 -06:00
benchmark-map.cc [benchmark-map] Remove rand() overhead from benchmark 2022-04-29 13:14:41 -06:00
benchmark-set.cc [benchmark-set] Split SetLookup into an ordered and random version 2022-04-29 13:39:15 -06:00
benchmark-shape.cc [benchmark-shape] Break lines and shape separately 2022-04-29 16:02:55 -06:00
benchmark-subset.cc [perf] Err. Remove HUGE font from perf suite 2022-04-21 13:51:37 -06:00
meson.build [perf] Spawn off benchmark-shape from perf runner 2022-04-29 15:37:11 -06:00
perf-draw.hh [perf/perf] Fix run when ttfparser is not available 2022-04-21 11:16:12 -06:00
perf-extents.hh [perf/perf] Fix run when ttfparser is not available 2022-04-21 11:16:12 -06:00
perf.cc [perf] Spawn off benchmark-shape from perf runner 2022-04-29 15:37:11 -06:00
run.sh [perf] More rename 2019-12-10 12:43:42 -06:00

README.md

Building and Running

Benchmarks are implemented using Google Benchmark.

To build the benchmarks in this directory you need to set the benchmark option while configuring the build with meson:

meson configure build -Dbenchmark=enabled --buildtype=release

Then build the benchmark binaries with ninja:

ninja -Cbuild perf/benchmark-set

Finally, to run one of the benchmarks:

./build/perf/benchmark-set

It's possible to filter the benchmarks being run and customize the output via flags to the benchmark binary. See the Google Benchmark User Guide for more details.

Profiling

Configure the build to include debug information for profiling:

CXXFLAGS="-fno-omit-frame-pointer" meson --reconfigure build -Dbenchmark=enabled --buildtype=debug
ninja -Cbuild

Then run the benchmark with perf:

perf record -g -o ~/tmp/profiles/subset.prof ./build/perf/benchmark-subset --benchmark_filter="BM_subset_codepoints/subset_notocjk/100000" --benchmark_repetitions=5

You probably want to filter to a specific benchmark of interest and set the number of repititions high enough to get a good sampling of profile data.

Finally view the profile with:

perf report -i ~/tmp/profiles/subset.prof