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Use JMH for Your Java Applications With Gradle

If you want to benchmark your code, the Java Microbenchmark Harness is the tool of choice. See an example here using the refill-rate-limiter project.

Use JMH for Your Java Applications With Gradle

If you want to benchmark your code, the Java Microbenchmark Harness is the tool of choice. See an example here using the refill-rate-limiter project.

Finding When Premature Optimization Is Evil

Finding When Premature Optimization Is Evil
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The compiler will optimize that away

Dark Created: 2021-04-01 Reading time: ~16 minutes A lot of programmers believe that compilers are magic black boxes in which you put your messy code in and get a nice optimized binary out. The hallway philosophers will often start a debate on which language features or compiler flags to use in order to capture the full power of the compiler’s magic. If you have ever seen the GCC codebase, you would really believe it must be doing some magical optimizations coming from another planet. Nevertheless, if you analyze the compiler’s output you will found out that the compilers are not really that great at optimizing your code. Not because

Java Microbenchmark Harness (JMH)

Java Microbenchmark Harness (JMH) A quick hands-on lesson to learn about Java Microbenchmark Harness (JMH). The article helps you get started and configure JMH project. by Introduction jvm. It is not enough to surround the code in a loop with System.out.println() and gather the time measurements. While benchmarking, a developer should consider warm-up cycles, JIT compilations, JVM optimizations, avoiding usual pitfalls, and even more. Thankfully, OpenJDK has a great tool Java Microbenchmark Harness (JMH) that can help us generated benchmarking stats. In this article, we will discuss how JMH can help us avoid the pitfalls that we have discussed earlier.

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