What are the best practices for Java benchmarking using JMH?
An example of an AI chatbot conversation about Java benchmarking best practices using JMH.
What are the best practices for Java benchmarking using JMH?
When benchmarking in Java with JMH, it's crucial to follow best practices like using warm-up iterations, avoiding dead code, and ensuring a stable environment.
Can you explain why warm-up iterations are important?
Warm-up iterations help to eliminate JVM optimizations that may skew the results. They allow the JVM to optimize the code before measuring performance.
What should I avoid when benchmarking?
Avoid benchmarking in a noisy environment, using too few iterations, and measuring too many metrics at once, as these can lead to unreliable results.
How can I ensure my benchmarks are reliable?
To ensure reliability, run benchmarks multiple times, use a dedicated machine, and analyze the results statistically to account for variability.
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