jmh-benchmarks

Write and execute Java microbenchmarks with the Java Microbenchmark Harness.

133|23|Updated Mar 23, 2020

Search Tags:#performance #optimization #java #benchmark #jmh #microbenchmark

Ready to run

npx skills add https://github.com/aehrc/pathling --skill jmh-benchmarks

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: jmh-benchmarks
Source: https://github.com/aehrc/pathling/tree/main/.claude/skills/jmh-benchmarks
Command: npx skills add https://github.com/aehrc/pathling --skill jmh-benchmarks

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill provides expert guidance for writing reliable Java microbenchmarks using the Java Microbenchmark Harness (JMH), ensuring accurate performance measurements and insightful analysis.

Core Features & Use Cases

Benchmark Creation: Learn to set up and write basic JMH benchmarks.
Performance Analysis: Understand different benchmark modes (Throughput, AverageTime, etc.) and state scopes.
Optimization Pitfalls: Avoid common errors like dead code elimination, constant folding, and manual loops.
Parameterization: Test performance across various configurations using @Param.
Use Case: You need to compare the performance of two different sorting algorithms in Java. Use this Skill to create JMH benchmarks that accurately measure and compare their execution times under various conditions.

Quick Start

Use the jmh-benchmarks skill to generate a new JMH benchmark project using the Maven archetype.

Frequently Asked Questions about jmh-benchmarks

High-intent search queries and answers about installing and using this skill.

FAQPage Schema

How do I write Java microbenchmarks using JMH?▼

Java microbenchmarks using JMH require setting up a Maven archetype project, defining benchmark methods, and configuring benchmark modes and state scopes to measure performance accurately. This Skill provides comprehensive guidance on project setup and benchmark structure.

Why are my Java microbenchmark results inaccurate?▼

Inaccurate Java microbenchmark results often stem from common pitfalls like dead code elimination, constant folding, and manual loops. Using JMH helps avoid these optimization traps to ensure reliable performance measurements for your code.

What is the best way to measure Java method performance?▼

Measuring Java method performance is best achieved using the Java Microbenchmark Harness (JMH), which supports modes like Throughput and AverageTime along with proper state management. This approach provides insightful analysis for performance-critical development.

Can I parameterize JMH benchmarks to test different configurations?▼

You can parameterize JMH benchmarks to test performance across various configurations using the @Param annotation. This allows you to compare execution times of different algorithms or implementations under different conditions efficiently.

How do I execute JMH benchmarks programmatically?▼

Executing JMH benchmarks programmatically involves integrating the Java Microbenchmark Harness API directly into your application code. This Skill covers programmatic execution alongside project setup and benchmark structure for comprehensive performance testing.