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Profiling the compiler

Profiling with Async profiler

IDEA Ultimate contains an Async sampling profiler. As of IDEA 2018.3 Async sampling profiler is still an experimental feature, so use Ctrl-Alt-Shift-/ on Linux, Cmd-Alt-Shift-/ on macOS to activate it. Then start compilation in CLI with --no-daemon and -Porg.gradle.workers.max=1 flags (running Gradle task with the profiler doesn't seem to work properly) and attach to the running process using "Run/Attach Profiler to Local Process" menu item.

Select "K2NativeKt" or "org.jetbrains.kotlin.cli.utilities.MainKt" process. On completion profiler will produce flame diagram which could be navigated with the mouse (click-drag moves, wheel scales). More RAM in IDE (>4G) could be helpful when analyzing longer runs. As Async is a sampling profiler, to get sensible coverage longer runs are important.

Profiling with YourKit

Unlike Async profiler in IDEA, YourKit can work as an exact profiler and provide complete coverage of all methods along with exact invocation counters.

Install the YourKit profiler for your platform from https://www.yourkit.com/java/profiler. Set AGENT variable to the JVMTI agent provided by YourKit, like

    export AGENT=/Applications/YourKit-Java-Profiler-2018.04.app/Contents/Resources/bin/mac/libyjpagent.jnilib

To profile standard library compilation:

    ./gradlew -PstdLibJvmArgs="-agentpath:$AGENT=probe_disable=*,listen=all,tracing"  dist

To profile platform libraries start build of proper target like this:

    ./gradlew -PplatformLibsJvmArgs="-agentpath:$AGENT=probe_disable=*,listen=all,tracing"  ios_arm64PlatformLibs

To profile standalone code compilation use:

    JAVA_OPTS="-agentpath:$AGENT=probe_disable=*,listen=all,tracing" ./dist/bin/konanc file.kt

Then attach to the desired application in YourKit GUI and use CPU tab to inspect CPU consuming methods. Saving the trace may be needed for more analysis. Adjusting -Xmx in $HOME/.yjp/ui.ini could help with the big traces.

To perform memory profiling follow the steps above, and after attachment to the running process use "Start Object Allocation Recording" button. See https://www.yourkit.com/docs/java/help/allocations.jsp for more details.

Compiler Gradle options

There are several gradle flags one can use for Konan build.

  • -Pbuild_flags passes flags to the compiler used to build stdlib

      ./gradlew -Pbuild_flags="--disable lower_inline --print_ir" stdlib

  • -Pshims compiles LLVM interface with tracing "shims". Allowing one to trace the LLVM calls from the compiler. Make sure to rebuild the project.

      ./gradlew -Pshims=true dist

Compiler environment variables

  • KONAN_DATA_DIR changes .konan local data directory location ($HOME/.konan by default). Works both with cli compiler and gradle plugin

Testing

To run blackbox compiler tests from JVM Kotlin use (takes time):

./gradlew run_external

To update the blackbox compiler tests set TeamCity build number in gradle.properties:

testKotlinVersion=<build number>

  • -Pfilter allows one to choose test files to run.

      ./gradlew -Pfilter=overflowLong.kt run_external

  • -Pprefix allows one to choose external test directories to run. Only tests from directories with given prefix will be executed.

      ./gradlew -Pprefix=external_codegen_box_cast run_external

  • -Ptest_flags passes flags to the compiler used to compile tests

      ./gradlew -Ptest_flags="--time" backend.native:tests:array0

  • -Ptest_target specifies cross target for a test run.

      ./gradlew -Ptest_target=raspberrypi backend.native:tests:array0

  • -Premote=user@host sets remote test execution login/hostname. Good for cross compiled tests.

      ./gradlew -Premote=kotlin@111.22.33.444 backend.native:tests:run

  • -Ptest_verbose enables printing compiler args and other helpful information during a test execution.

      ./gradlew -Ptest_verbose :backend.native:tests:mpp_optional_expectation

Performance measurement

Firstly, it's necessary to build analyzer tool to have opportunity to compare different performance results:

cd tools/benchmarksAnalyzer
../../gradlew build

To measure performance of Kotlin/Native compiler on existing benchmarks:

./gradlew :performance:konanRun

konanRun task can be run separately for one/several benchmark applications:

./gradlew :performance:cinterop:konanRun

konanRun task has parameter filter which allows to run only some subset of benchmarks:

./gradlew :performance:cinterop:konanRun --filter=struct,macros

Or you can use filterRegex if you want to specify the filter as regexes:

./gradlew :performance:ring:konanRun --filterRegex=String.*,Loop.*

There are also tasks for running benchmarks on JVM (pay attention, some benchmarks e.g. cinterop benchmarks can't be run on JVM)

./gradlew :performance:jvmRun

Files with results of benchmarks run are saved in performance/build/nativeReport.json for konanRun and jvmReport.json for jvmRun. You can change the output filename by setting the nativeJson property for konanRun and jvmJson for jvmRun:

./gradlew :performance:ring:konanRun --filter=String.*,Loop.* -PnativeJson=stringsAndLoops.json

You can use the compilerArgs property to pass flags to the compiler used to compile the benchmarks:

./gradlew :performance:konanRun -PcompilerArgs="--time -g"

To compare different results run benchmarksAnalyzer tool:

cd tools/benchmarksAnalyzer/build/bin/<target>/benchmarksAnalyzerReleaseExecutable/
./benchmarksAnalyzer.kexe <file1> <file2>

Tool has several renders which allow produce output report in different forms (text, html, etc.). To set up render use flag -render/-r. Output can be redirected to file with flag -output/-o. To get detailed information about supported options, please use -help/-h.

Analyzer tool can compare both local files and files placed on Bintray/TeamCity.

File description stored on Bintray

bintray:<build number>:<target (Linux|Windows10|MacOSX)>:<filename>

Example

bintray:1.2-dev-7942:Windows10:nativeReport.json

File description stored on TeamCity

 teamcity:<build locator>:<filename>

Example

 teamcity:id:42491947:nativeReport.json

Pay attention, user and password information(with flag -u <username>:<password>) should be provided to get data from TeamCity.