Measurement .Net Performance with BenchmarkDotNet
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Measurement .Net Performance with BenchmarkDotNet
- 1. www.perfectial.com Measurement .NET performance with BenchmarkDotNet Vasyl Senko .Net Software Engineer
- 2. www.perfectial.com Agenda Profiling vs Benchmarking vs Micro-benchmarking Benchmarking best practices BenchmarkDotNet Simplest benchmark How does it work Statistics Configuration: Columns, Jobs, Diagnosers
- 3. www.perfectial.com Profiling vs Benchmarking vs Micro-benchmarking Profiling is intended to be used in order to identify the parts of your program which take the most time.
- 4. www.perfectial.com Profiling vs Benchmarking vs Micro-benchmarking Benchmark measures the time for some whole operation. Use benchmark to compare different versions of software, or the same software on different hardware. Result of benchmarking: single metric, a score.
- 5. www.perfectial.com Profiling vs Benchmarking vs Micro-benchmarking Microbenchmark - specific form of benchmarking, designed to measure the performance of a very small and specific piece of code. Result of benchmarking: single metric, a score.
- 7. www.perfectial.com When to Benchmark “Premature optimization is the root of all evil” – Donald Knuth Before benchmarking: • Think over architecture • Choose fast algorithms • Choose optimal data structures • Optimize memory usage • Optimize networking • Optimize I/O • Implement caching
- 8. www.perfectial.com Benchmarking best practices Warmup Cleanup Enable compiler optimizations (Release mode) Run benchmarks without attached debugger Avoid compiler optimizations in benchmark methods (dead code elimination , hoisting) Run benchmark several times Try different environments Make sure your computer is in a fully idle state //“Hoisting” is a compiler optimization that moves loop-invariant code out of loops
- 9. www.perfectial.com Title Text Team: Maintainers: Andrey Akinshin (Project Lead), Adam Sitnik Contributors: Jon Skeet, Matt Warren, Sasha Goldshtein, and others
- 13. www.perfectial.com Benchmark time units Millisecond - ms One thousandth of one second (1/1000 of a second) Microsecond - us or µs One millionth of one second (1/1,000,000 of a second) Nanosecond - ns One billionth of one second (1/1,000,000,000 of a second)
- 14. www.perfectial.com 1. BenchmarkRunner generates an isolated project per each benchmark method/job/params and builds it in Release mode 2. Takes each method/job/params combination and try to measure its performance by launching benchmark process several times 3. After all of the measurements, BenchmarkDotNet creates: • An instance of the Summary class that contains all information about benchmark runs. • A set of files that contains summary in human-readable and machine-readable formats. • A set of plots. How does BenchmarkRunner work?
- 15. www.perfectial.com How does benchmark work? An invocation of the target method is an operation. A bunch of operations is an iteration. Types of iterations: Pilot: The best operation count will be chosen IdleWarmup, IdleTarget: BenchmarkDotNet overhead will be evaluated MainWarmup: Warmup of the main method MainTarget: Main measurements Result = MainTarget - AverageOverhead
- 16. www.perfectial.com Statistics Mean - Arithmetic mean of all measurements StandardError - Standard error of all measurements StandardDeviation - Standard deviation of all measurements Error - Half of 99.9% confidence interval OperationsPerSecond Min Q1 - Quartile 1 (25th percentile) Median (Q2) - Value separating the higher half of all measurements (50th percentile) Q3 - Quartile 3 (75th percentile) Max P0, P25, P50, P67, P80, P85, P90, P95, P100 - Percentiles
- 17. www.perfectial.com Configuration Validators - validate benchmarks before they are executed and produce errors, if any critical error exists execution is aborted Columns - column in the summary table Jobs - describes how to run your benchmark Diagnosers – gather useful information Exporters - export results of your benchmark in different formats. Default: csv, html, markdown Loggers - log results Analysers - analyze summary of benchmark and produce warnings
- 19. www.perfectial.com Jobs Configuration: Environment Platform: x86 / x64 Runtime: Full .NET Framework (4.6+) / .NET Core (1.1+) / Mono Languages: C# / F# / Visual Basic Jit: LegacyJit (Clr only) / RyuJit (Clr and Core only) / Llvm (Mono only) Affinity: Process.ProcessorAffinity GcMode: Server: Server mode / Workstation mode Concurrent: Concurrent mode / NonConcurrent mode CpuGroups: Specifies whether garbage collection supports multiple CPU groups Force: force full garbage collection after each benchmark invocation
- 20. www.perfectial.com Jobs Configuration: Run RunStrategy: Throughput / ColdStart / Monitoring LaunchCount*: how many times we should launch process with target benchmark WarmupCount*: how many warmup iterations should be performed TargetCount*: how many target iterations should be performed IterationTime*: desired time of a single iteration InvocationCount: count of invocation of target method in a single iteration * - better not to specify those characteristics, BenchmarkDotNet has a smart algorithm to choose these values automatically
- 21. www.perfectial.com Jobs Configuration: Accuracy MaxRelativeError - defines max acceptable Error / Mean MaxAbsoluteError - is an absolute TimeInterval MinIterationTime - minimum time of a single iteration (specifies only the lower limit) MinInvokeCount – min amount of target method invocation (default: 4) EvaluateOverhead – evaluate and subtract overhead from result measurements (default: true) RemoveOutliers – remove outliers from result measurements (default: true) AnalyzeLaunchVariance - try to perform several launches and detect if there is a veriance between launches
- 23. www.perfectial.com Diagnosers: A diagnoser can attach to your benchmark and get some useful info. MemoryDiagnoser - GC and Memory Allocation, which is cross platform and built-in HardwareCounters - Hardware Counter Diagnoser InliningDiagnoser - JIT Inlining Events DisassemblyDiagnoser - allows you to disassemble the benchmarked code to asm, IL, C#/F#
- 24. www.perfectial.com Memory Diagnoser Allocated - contains the size of allocated managed memory. Stackalloc/native heap allocations are not included. Gen X - the number of Gen X collections per 1 000 operations. If the value is equal 1, then it means that GC collects memory once per one thousand of benchmark invocations in generation X. BenchmarkDotNet is using some heuristic when running benchmarks, so the number of invocations can be different for different runs. //Every reference type instance has two extra fields: object header and method table pointer, which are 4 bytes on x86 or 8bytes on x64 each. //The layout of classes is determined by the JIT compiler depending on the architecture.
- 26. www.perfectial.com Hardware Counter Diagnoser Uses Event Tracing for Windows Available Counters: Timer TotalIssues BranchInstructions CacheMisses BranchMispredictions TotalCycles UnhaltedCoreCycles InstructionRetired UnhaltedReferenceCycles LlcReference LlcMisses BranchInstructionRetired BranchMispredictsRetired
- 27. www.perfectial.com Why is it faster? https://stackoverflow.com/questions/11227809
- 29. www.perfectial.com Latency numbers every programmer should know https://gist.github.com/hellerbarde/2843375
- 30. www.perfectial.com Source code: https://github.com/dotnet/BenchmarkDotNet Documentation: http://benchmarkdotnet.org Andrey Akinshin https://github.com/AndreyAkinshin http://aakinshin.net Adam Sitnik https://github.com/adamsitnik http://adamsitnik.com/ Useful Links
- 31. US Representative Office +1 857 30 23 414 75 Arlington St. Suite 500 Boston, MA 02116, USA UA Software Development Office +380 32 270 00 92 1A Kamianetska str., Lviv 79034, Ukraine Thanks for your attention!