What are some tips for optimizing JMH benchmarks?
An example of an AI chatbot conversation about optimizing JMH benchmarks for better performance.
What are some tips for optimizing JMH benchmarks?
To optimize JMH benchmarks, consider using the right warm-up iterations, adjusting the measurement time, and selecting appropriate forks.
How do I choose the right warm-up iterations?
Choosing warm-up iterations depends on your benchmark's complexity. Start with a few iterations and adjust based on performance stability.
What is the impact of measurement time on results?
Measurement time affects the accuracy of your results. Longer measurement times can reduce noise and provide more reliable data.
Should I use multiple forks for my benchmarks?
Yes, using multiple forks can help mitigate JVM warm-up effects and provide more consistent results across runs.
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