Pro .NET Benchmarking: The Art of Performance MeasurementApress, 26 июн. 2019 г. - Всего страниц: 662 Use this in-depth guide to correctly design benchmarks, measure key performance metrics of .NET applications, and analyze results. This book presents dozens of case studies to help you understand complicated benchmarking topics. You will avoid common pitfalls, control the accuracy of your measurements, and improve performance of your software. Author Andrey Akinshin has maintained BenchmarkDotNet (the most popular .NET library for benchmarking) for five years and covers common mistakes that developers usually make in their benchmarks. This book includes not only .NET-specific content but also essential knowledge about performance measurements which can be applied to any language or platform (common benchmarking methodology, statistics, and low-level features of modern hardware). What You'll LearnBe aware of the best practices for writing benchmarks and performance testsAvoid the common benchmarking pitfalls Know the hardware and software factors that affect application performanceAnalyze performance measurements Who This Book Is For .NET developers concerned with the performance of their applications |
Содержание
Introducing Benchmarking | 1 |
Common Benchmarking Pitfalls | 31 |
How Environment Affects Performance | 90 |
Statistics for Performance Engineers | 181 |
Performance Analysis and Performance Testing | 261 |
Diagnostic Tools | 365 |
CPUBound Benchmarks | 400 |
MemoryBound Benchmarks | 525 |
Hardware and Software Timers | 575 |
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Pro .NET Benchmarking: The Art of Performance Measurement Andrey Akinshin Недоступно для просмотра - 2019 |
Часто встречающиеся слова и выражения
affect algorithm analysis AOT compilation application array benchmark BenchmarkDotNet box plot branch prediction byte C# compiler cache line calculate can’t changes chapter CPU cache depends detect developers discuss distribution duration dword dword ptr environment error false faster following BenchmarkDotNet-based benchmarks Framework frequency goals hardware HPET huge implementation important inlining instruction Intel Core interval invocations iterations JIT compiler Kokosa kurtosis latency LegacyJIT-x86 Linux look loop macOS manually mean measurements memory method metrics Microsoft Mono MSBuild multimodal distributions native code operating system optimizations outliers overhead p-values performance anomalies performance degradation performance investigation performance problems performance space performance tests pretty profiler public void RDTSC ReSharper resolution runtime RyuJIT sample server situation source code Source code Consider static statistical Stopwatch Stopwatch.StartNew struct ticks timer timestamping API typical uint usually variables Windows