Package org.teavm.perf

package org.teavm.perf
  • Class
    Description
    BenchmarkBackend
    Compiles benchmarks for a particular TeaVM backend and runs them.
    BenchmarkEntryPointTransformer
    Replaces native methods of BenchmarkEntryPoint with code that creates states, sets parameters, calls setup/teardown methods and the benchmark method itself.
    BenchmarkEnvironment
    State shared by all compilations: class model, class loader, compiler settings, etc.
    BenchmarkException
     
    BenchmarkInfo
    Describes a single method marked with JMH's @Benchmark annotation and settings that are specified via annotations.
    BenchmarkMode
    Subset of JMH benchmark modes supported by TeaVM benchmark runner.
    BenchmarkOptions
    Settings that override settings given by annotations, usually specified via command line.
    BenchmarkResult
    Result of running a single benchmark with particular mode and parameters, either obtained by running benchmark or read from a JMH JSON file.
    BenchmarkRunner
    Compiles benchmarks for each of the given backends, runs them and collects results.
    BenchmarkScanner
    Finds benchmarks in given classes and extracts information from JMH annotations.
    BrowserBackend
    Runs benchmarks in a browser using BrowserRunner.
    CBackend
    Compiles benchmarks to C, then compiles C code to an executable and runs it.
    ClassNameCollector
    Lists names of classes in directories and JAR files.
    CompiledBenchmark
     
    IterationSettings
    Settings of warmup or measurement phase.
    JmhSubstitutionPolicy
    Replaces JMH's org.openjdk.jmh.infra.Blackhole with TBlackhole.
    JsBackend
     
    ParamInfo
    Describes a field marked with JMH's @Param annotation.
    PerfCli
    Command line entry point of the benchmark runner.
    ScoreUnits
    Utilities for formatting scores and converting them between units like ns/op or ops/s.
    StateInfo
    Describes either a class marked with JMH's @State annotation, or a benchmark class itself.
    Statistics
    Computes the same statistics that JMH reports: mean, error at 99.9% confidence level using Student's t-distribution, and percentiles.
    WasmGCBackend