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Add a Makefile target for building kitty-profile

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Kovid Goyal
2018-01-26 21:35:48 +05:30
parent 1603310b86
commit 8201cd3288
2 changed files with 5 additions and 2 deletions
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3
Makefile
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@@ -22,6 +22,9 @@ debug:
asan: asan:
python3 setup.py build $(VVAL) --debug --sanitize python3 setup.py build $(VVAL) --debug --sanitize
profile:
python3 setup.py build $(VVAL) --profile
logo/kitty.iconset/icon_256x256.png: logo/kitty.svg logo/make.py logo/kitty.iconset/icon_256x256.png: logo/kitty.svg logo/make.py
logo/make.py logo/make.py

4
README.asciidoc
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@@ -350,8 +350,8 @@ and ``input_delay``. These control the artificial delays introduced into the
render loop to reduce CPU usage. See the link:kitty/kitty.conf[config file] for details. render loop to reduce CPU usage. See the link:kitty/kitty.conf[config file] for details.
You can generate detailed per-function performance data using You can generate detailed per-function performance data using
link:https://github.com/gperftools/gperftools[gperftools]. Build kitty with the link:https://github.com/gperftools/gperftools[gperftools]. Build kitty with
`--profile` flag which will create an executable called `kitty-profile`. Run `make profile` which will create an executable called `kitty-profile`. Run
that and perform the task you want to analyse, for example, scrolling a large that and perform the task you want to analyse, for example, scrolling a large
file with `less`. After you quit, function call statistics will be printed to file with `less`. After you quit, function call statistics will be printed to
`stdout` and you can use tools like *kcachegrind* for more detailed analysis. `stdout` and you can use tools like *kcachegrind* for more detailed analysis.