forked from kscience/kmath
Generated benchmarking reports
This commit is contained in:
Iaroslav Postovalov
parent
cfe6c3ef4b
commit
45f1588175
@ -1,3 +1,7 @@
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@file:Suppress("UNUSED_VARIABLE")
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import space.kscience.kmath.benchmarks.addBenchmarkProperties
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plugins {
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kotlin("multiplatform")
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kotlin("plugin.allopen")
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@ -32,7 +36,7 @@ kotlin {
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implementation(project(":kmath-dimensions"))
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implementation(project(":kmath-for-real"))
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implementation(project(":kmath-jafama"))
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implementation("org.jetbrains.kotlinx:kotlinx-benchmark-runtime:0.3.0")
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implementation("org.jetbrains.kotlinx:kotlinx-benchmark-runtime:0.3.1")
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}
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}
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@ -130,3 +134,5 @@ tasks.withType<org.jetbrains.kotlin.gradle.tasks.KotlinCompile> {
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readme {
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maturity = ru.mipt.npm.gradle.Maturity.EXPERIMENTAL
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}
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addBenchmarkProperties()
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@ -18,17 +18,17 @@ import kotlin.random.Random
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@State(Scope.Benchmark)
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internal class JafamaBenchmark {
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@Benchmark
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fun jafamaBench(blackhole: Blackhole) = invokeBenchmarks(blackhole) { x ->
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fun jafama(blackhole: Blackhole) = invokeBenchmarks(blackhole) { x ->
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JafamaDoubleField { x * power(x, 4) * exp(x) / cos(x) + sin(x) }
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}
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@Benchmark
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fun coreBench(blackhole: Blackhole) = invokeBenchmarks(blackhole) { x ->
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fun core(blackhole: Blackhole) = invokeBenchmarks(blackhole) { x ->
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DoubleField { x * power(x, 4) * exp(x) / cos(x) + sin(x) }
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}
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@Benchmark
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fun strictJafamaBench(blackhole: Blackhole) = invokeBenchmarks(blackhole) { x ->
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fun strictJafama(blackhole: Blackhole) = invokeBenchmarks(blackhole) { x ->
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StrictJafamaDoubleField { x * power(x, 4) * exp(x) / cos(x) + sin(x) }
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}
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@ -1,5 +1,19 @@
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plugins {
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`kotlin-dsl`
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kotlin("plugin.serialization") version "1.4.31"
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}
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repositories.mavenCentral()
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repositories {
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gradlePluginPortal()
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mavenCentral()
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}
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dependencies {
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api("org.jetbrains.kotlinx:kotlinx-serialization-json:1.1.0")
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api("ru.mipt.npm:gradle-tools:0.9.10")
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api("org.jetbrains.kotlinx:kotlinx-benchmark-plugin:0.3.1")
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}
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kotlin.sourceSets.all {
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languageSettings.useExperimentalAnnotation("kotlin.ExperimentalStdlibApi")
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}
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@ -0,0 +1,60 @@
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/*
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* Copyright 2018-2021 KMath contributors.
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* Use of this source code is governed by the Apache 2.0 license that can be found in the license/LICENSE.txt file.
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*/
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package space.kscience.kmath.benchmarks
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import kotlinx.serialization.Serializable
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@Serializable
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data class JmhReport(
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val jmhVersion: String,
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val benchmark: String,
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val mode: String,
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val threads: Int,
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val forks: Int,
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val jvm: String,
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val jvmArgs: List<String>,
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val jdkVersion: String,
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val vmName: String,
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val vmVersion: String,
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val warmupIterations: Int,
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val warmupTime: String,
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val warmupBatchSize: Int,
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val measurementIterations: Int,
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val measurementTime: String,
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val measurementBatchSize: Int,
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val params: Map<String, String> = emptyMap(),
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val primaryMetric: PrimaryMetric,
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val secondaryMetrics: Map<String, SecondaryMetric>,
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) {
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interface Metric {
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val score: Double
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val scoreError: Double
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val scoreConfidence: List<Double>
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val scorePercentiles: Map<Double, Double>
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val scoreUnit: String
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}
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@Serializable
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data class PrimaryMetric(
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override val score: Double,
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override val scoreError: Double,
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override val scoreConfidence: List<Double>,
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override val scorePercentiles: Map<Double, Double>,
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override val scoreUnit: String,
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val rawDataHistogram: List<List<List<List<Double>>>>? = null,
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val rawData: List<List<Double>>? = null,
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) : Metric
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@Serializable
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data class SecondaryMetric(
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override val score: Double,
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override val scoreError: Double,
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override val scoreConfidence: List<Double>,
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override val scorePercentiles: Map<Double, Double>,
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override val scoreUnit: String,
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val rawData: List<List<Double>>,
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) : Metric
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}
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@ -0,0 +1,105 @@
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/*
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* Copyright 2018-2021 KMath contributors.
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* Use of this source code is governed by the Apache 2.0 license that can be found in the license/LICENSE.txt file.
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*/
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package space.kscience.kmath.benchmarks
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import kotlinx.serialization.*
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import org.gradle.api.Project
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import java.time.*
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import java.time.format.*
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import java.time.temporal.ChronoField.*
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private val ISO_DATE_TIME: DateTimeFormatter = DateTimeFormatterBuilder().run {
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parseCaseInsensitive()
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appendValue(YEAR, 4, 10, SignStyle.EXCEEDS_PAD)
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appendLiteral('-')
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appendValue(MONTH_OF_YEAR, 2)
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appendLiteral('-')
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appendValue(DAY_OF_MONTH, 2)
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appendLiteral('T')
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appendValue(HOUR_OF_DAY, 2)
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appendLiteral('.')
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appendValue(MINUTE_OF_HOUR, 2)
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optionalStart()
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appendLiteral('.')
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appendValue(SECOND_OF_MINUTE, 2)
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optionalStart()
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appendFraction(NANO_OF_SECOND, 0, 9, true)
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optionalStart()
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appendOffsetId()
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optionalStart()
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appendLiteral('[')
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parseCaseSensitive()
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appendZoneRegionId()
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appendLiteral(']')
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toFormatter()
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}
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private fun noun(number: Number, singular: String, plural: String) = if (number.toLong() == 1L) singular else plural
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fun Project.addBenchmarkProperties() {
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val benchmarksProject = this
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rootProject.subprojects.forEach { p ->
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p.extensions.findByType(ru.mipt.npm.gradle.KScienceReadmeExtension::class.java)?.run {
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benchmarksProject.extensions.findByType(kotlinx.benchmark.gradle.BenchmarksExtension::class.java)?.configurations?.forEach { cfg ->
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// TODO remove this hack when https://github.com/mipt-npm/gradle-tools/pull/15 is merged
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@Suppress("UNCHECKED_CAST")
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(javaClass.getDeclaredField("properties")
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.also {
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it.isAccessible = true
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}[this] as MutableMap<String, () -> Any?>)["benchmark${cfg.name.replaceFirstChar(Char::uppercase)}"] =
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{
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val launches = benchmarksProject.buildDir.resolve("reports/benchmarks/${cfg.name}")
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val resDirectory = launches.listFiles()?.maxByOrNull {
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LocalDateTime.parse(it.name, ISO_DATE_TIME).atZone(ZoneId.systemDefault()).toInstant()
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}
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if (resDirectory == null) {
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"> **Can't find appropriate benchmark data. Try generating readme files after running benchmarks**."
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} else {
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val reports =
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kotlinx.serialization.json.Json.decodeFromString<List<JmhReport>>(
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resDirectory.resolve("jvm.json").readText()
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)
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buildString {
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appendLine("<details>")
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appendLine("<summary>")
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appendLine("Report for benchmark configuration <code>${cfg.name}</code>")
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appendLine("</summary>")
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appendLine()
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val first = reports.first()
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appendLine("* Run on ${first.vmName} (build ${first.vmVersion}) with Java process:")
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appendLine()
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appendLine("```")
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appendLine("${first.jvm} ${
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first.jvmArgs.joinToString(" ")
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}")
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appendLine("```")
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appendLine("* JMH ${first.jmhVersion} was used in `${first.mode}` mode with ${first.warmupIterations} warmup ${
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noun(first.warmupIterations, "iteration", "iterations")
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} by ${first.warmupTime} and ${first.measurementIterations} measurement ${
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noun(first.measurementIterations, "iteration", "iterations")
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} by ${first.measurementTime}.")
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appendLine()
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appendLine("| Benchmark | Score |")
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appendLine("|:---------:|:-----:|")
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reports.forEach { report ->
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appendLine("|`${report.benchmark}`|${report.primaryMetric.score} ± ${report.primaryMetric.scoreError} ${report.primaryMetric.scoreUnit}|")
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}
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appendLine("</details>")
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}
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}
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}
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}
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}
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}
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}
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@ -62,25 +62,21 @@ readme {
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feature(
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id = "expression-language",
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description = "Expression language and its parser",
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ref = "src/commonMain/kotlin/space/kscience/kmath/ast/parser.kt"
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)
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) { "Expression language and its parser" }
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feature(
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id = "mst-jvm-codegen",
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description = "Dynamic MST to JVM bytecode compiler",
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ref = "src/jvmMain/kotlin/space/kscience/kmath/asm/asm.kt"
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)
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) { "Dynamic MST to JVM bytecode compiler" }
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feature(
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id = "mst-js-codegen",
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description = "Dynamic MST to JS compiler",
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ref = "src/jsMain/kotlin/space/kscience/kmath/estree/estree.kt"
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)
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) { "Dynamic MST to JS compiler" }
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feature(
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id = "rendering",
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description = "Extendable MST rendering",
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ref = "src/commonMain/kotlin/space/kscience/kmath/ast/rendering/MathRenderer.kt"
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)
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) { "Extendable MST rendering" }
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}
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@ -50,95 +50,24 @@ fun main() {
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## Performance
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According to benchmarking data, on Hotspot Jafama functions are 20% faster than JDK math. On GraalVM, they are slower.
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According to KMath benchmarks on GraalVM, Jafama functions are slower than JDK math; however, there are indications that on Hotspot Jafama is a bit faster.
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<details>
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<summary>Raw data:</summary>
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<summary>
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Report for benchmark configuration <code>jafamaDouble</code>
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</summary>
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**Hotspot**
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* Run on OpenJDK 64-Bit Server VM (build 11.0.11+8-jvmci-21.1-b05) with Java process:
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```
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jvm: space.kscience.kmath.benchmarks.JafamaBenchmark.coreBench
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Warm-up 1: 11.447 ops/s
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Iteration 1: 13.354 ops/s
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Iteration 2: 14.237 ops/s
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Iteration 3: 14.708 ops/s
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Iteration 4: 14.629 ops/s
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Iteration 5: 14.692 ops/s
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14.324 ±(99.9%) 2.217 ops/s [Average]
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(min, avg, max) = (13.354, 14.324, 14.708), stdev = 0.576
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CI (99.9%): [12.107, 16.541] (assumes normal distribution)
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jvm: space.kscience.kmath.benchmarks.JafamaBenchmark.jafamaBench
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Warm-up 1: 15.628 ops/s
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Iteration 1: 15.991 ops/s
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Iteration 2: 16.633 ops/s
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Iteration 3: 16.583 ops/s
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Iteration 4: 16.716 ops/s
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Iteration 5: 16.762 ops/s
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16.537 ±(99.9%) 1.205 ops/s [Average]
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(min, avg, max) = (15.991, 16.537, 16.762), stdev = 0.313
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CI (99.9%): [15.332, 17.743] (assumes normal distribution)
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jvm: space.kscience.kmath.benchmarks.JafamaBenchmark.strictJafamaBench
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Warm-up 1: 13.378 ops/s
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Iteration 1: 15.049 ops/s
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Iteration 2: 14.468 ops/s
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Iteration 3: 14.469 ops/s
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Iteration 4: 14.753 ops/s
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Iteration 5: 14.958 ops/s
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14.739 ±(99.9%) 1.038 ops/s [Average]
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(min, avg, max) = (14.468, 14.739, 15.049), stdev = 0.269
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CI (99.9%): [13.701, 15.777] (assumes normal distribution)
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```
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**GraalVM**
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```
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jvm: space.kscience.kmath.benchmarks.JafamaBenchmark.coreBench
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Warm-up 1: 14.357 ops/s
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Iteration 1: 14.768 ops/s
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Iteration 2: 14.922 ops/s
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Iteration 3: 14.966 ops/s
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Iteration 4: 14.805 ops/s
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Iteration 5: 14.520 ops/s
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14.796 ±(99.9%) 0.671 ops/s [Average]
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(min, avg, max) = (14.520, 14.796, 14.966), stdev = 0.174
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CI (99.9%): [14.125, 15.468] (assumes normal distribution)
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jvm: space.kscience.kmath.benchmarks.JafamaBenchmark.jafamaBench
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Warm-up 1: 11.592 ops/s
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Iteration 1: 12.174 ops/s
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Iteration 2: 11.734 ops/s
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Iteration 3: 11.939 ops/s
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Iteration 4: 12.026 ops/s
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Iteration 5: 12.221 ops/s
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12.019 ±(99.9%) 0.752 ops/s [Average]
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(min, avg, max) = (11.734, 12.019, 12.221), stdev = 0.195
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CI (99.9%): [11.267, 12.771] (assumes normal distribution)
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jvm: space.kscience.kmath.benchmarks.JafamaBenchmark.strictJafamaBench
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Warm-up 1: 12.097 ops/s
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Iteration 1: 13.072 ops/s
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Iteration 2: 13.112 ops/s
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Iteration 3: 13.103 ops/s
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Iteration 4: 12.950 ops/s
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Iteration 5: 13.011 ops/s
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13.049 ±(99.9%) 0.263 ops/s [Average]
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(min, avg, max) = (12.950, 13.049, 13.112), stdev = 0.068
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CI (99.9%): [12.787, 13.312] (assumes normal distribution)
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/home/commandertvis/graalvm-ce-java11/bin/java -XX:+UnlockExperimentalVMOptions -XX:+EnableJVMCIProduct -XX:-UnlockExperimentalVMOptions -XX:ThreadPriorityPolicy=1 -javaagent:/home/commandertvis/.gradle/caches/modules-2/files-2.1/org.jetbrains.kotlinx/kotlinx-coroutines-core-jvm/1.5.0/d8cebccdcddd029022aa8646a5a953ff88b13ac8/kotlinx-coroutines-core-jvm-1.5.0.jar -Dfile.encoding=UTF-8 -Duser.country=US -Duser.language=en -Duser.variant -ea
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```
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* JMH 1.21 was used in `thrpt` mode with 1 warmup iteration by 1000 ms and 5 measurement iterations by 1000 ms.
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| Benchmark | Score |
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|:---------:|:-----:|
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|`space.kscience.kmath.benchmarks.JafamaBenchmark.core`|14.296120859512893 ± 0.36462633435888736 ops/s|
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|`space.kscience.kmath.benchmarks.JafamaBenchmark.jafama`|11.431566395649781 ± 2.570896777898243 ops/s|
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|`space.kscience.kmath.benchmarks.JafamaBenchmark.strictJafama`|11.746020495694117 ± 6.205909559197869 ops/s|
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</details>
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@ -24,95 +24,6 @@ fun main() {
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## Performance
|
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|
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According to benchmarking data, on Hotspot Jafama functions are 20% faster than JDK math. On GraalVM, they are slower.
|
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According to KMath benchmarks on GraalVM, Jafama functions are slower than JDK math; however, there are indications that on Hotspot Jafama is a bit faster.
|
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|
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<details>
|
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<summary>Raw data:</summary>
|
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|
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**Hotspot**
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```
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jvm: space.kscience.kmath.benchmarks.JafamaBenchmark.coreBench
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Warm-up 1: 11.447 ops/s
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Iteration 1: 13.354 ops/s
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Iteration 2: 14.237 ops/s
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Iteration 3: 14.708 ops/s
|
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Iteration 4: 14.629 ops/s
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Iteration 5: 14.692 ops/s
|
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14.324 ±(99.9%) 2.217 ops/s [Average]
|
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(min, avg, max) = (13.354, 14.324, 14.708), stdev = 0.576
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CI (99.9%): [12.107, 16.541] (assumes normal distribution)
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jvm: space.kscience.kmath.benchmarks.JafamaBenchmark.jafamaBench
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Warm-up 1: 15.628 ops/s
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Iteration 1: 15.991 ops/s
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Iteration 2: 16.633 ops/s
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Iteration 3: 16.583 ops/s
|
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Iteration 4: 16.716 ops/s
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Iteration 5: 16.762 ops/s
|
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|
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16.537 ±(99.9%) 1.205 ops/s [Average]
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(min, avg, max) = (15.991, 16.537, 16.762), stdev = 0.313
|
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CI (99.9%): [15.332, 17.743] (assumes normal distribution)
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jvm: space.kscience.kmath.benchmarks.JafamaBenchmark.strictJafamaBench
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Warm-up 1: 13.378 ops/s
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Iteration 1: 15.049 ops/s
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Iteration 2: 14.468 ops/s
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Iteration 3: 14.469 ops/s
|
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Iteration 4: 14.753 ops/s
|
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Iteration 5: 14.958 ops/s
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14.739 ±(99.9%) 1.038 ops/s [Average]
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(min, avg, max) = (14.468, 14.739, 15.049), stdev = 0.269
|
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CI (99.9%): [13.701, 15.777] (assumes normal distribution)
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```
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**GraalVM**
|
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|
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```
|
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jvm: space.kscience.kmath.benchmarks.JafamaBenchmark.coreBench
|
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||||
Warm-up 1: 14.357 ops/s
|
||||
Iteration 1: 14.768 ops/s
|
||||
Iteration 2: 14.922 ops/s
|
||||
Iteration 3: 14.966 ops/s
|
||||
Iteration 4: 14.805 ops/s
|
||||
Iteration 5: 14.520 ops/s
|
||||
|
||||
14.796 ±(99.9%) 0.671 ops/s [Average]
|
||||
(min, avg, max) = (14.520, 14.796, 14.966), stdev = 0.174
|
||||
CI (99.9%): [14.125, 15.468] (assumes normal distribution)
|
||||
|
||||
jvm: space.kscience.kmath.benchmarks.JafamaBenchmark.jafamaBench
|
||||
|
||||
Warm-up 1: 11.592 ops/s
|
||||
Iteration 1: 12.174 ops/s
|
||||
Iteration 2: 11.734 ops/s
|
||||
Iteration 3: 11.939 ops/s
|
||||
Iteration 4: 12.026 ops/s
|
||||
Iteration 5: 12.221 ops/s
|
||||
|
||||
12.019 ±(99.9%) 0.752 ops/s [Average]
|
||||
(min, avg, max) = (11.734, 12.019, 12.221), stdev = 0.195
|
||||
CI (99.9%): [11.267, 12.771] (assumes normal distribution)
|
||||
|
||||
jvm: space.kscience.kmath.benchmarks.JafamaBenchmark.strictJafamaBench
|
||||
|
||||
Warm-up 1: 12.097 ops/s
|
||||
Iteration 1: 13.072 ops/s
|
||||
Iteration 2: 13.112 ops/s
|
||||
Iteration 3: 13.103 ops/s
|
||||
Iteration 4: 12.950 ops/s
|
||||
Iteration 5: 13.011 ops/s
|
||||
|
||||
13.049 ±(99.9%) 0.263 ops/s [Average]
|
||||
(min, avg, max) = (12.950, 13.049, 13.112), stdev = 0.068
|
||||
CI (99.9%): [12.787, 13.312] (assumes normal distribution)
|
||||
```
|
||||
|
||||
</details>
|
||||
${benchmarkJafamaDouble}
|
||||
|
||||
@ -5,7 +5,7 @@ pluginManagement {
|
||||
gradlePluginPortal()
|
||||
}
|
||||
|
||||
val toolsVersion = "0.9.9"
|
||||
val toolsVersion = "0.9.10"
|
||||
val kotlinVersion = "1.5.0"
|
||||
|
||||
plugins {
|
||||
|
||||
Loading…
Reference in New Issue
Block a user