So, Java is fast if you use it like C.
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Person reinvents data oriented design.
Every language is fast, as long as it can be somehow (at least) jit compiled, and you're not allocating much.
When I worked for Amazon, someone had created a command line tool to be used in builds, but repeatedly starting up JVMs is painfully slow. I rewrote the app in C++ and it could be invoked 81 times vs one invocation of Java version.
If I need speed, I'll use C++. If I need developer productivity, I'll use Ruby.
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People keep complaining about Python speed but my functions that only pass run at lightning speed.
This is actually a very cool and insightful blog post. I'd have liked if the code was worked better into the written text however. I mean it didn't dive deep into it's Java usage or the specifics of the JVM, other than it being very well optimized for short lived objects.
However, the precise performance numbers should be taken with a grain of salt. I'd classify this as a micro benchmark and those can often be influenced by stuff like cache locality and other small details and could look quite different on other machines.
The 5950x has a large L3 cache compared to other cpus so these benchmarks probably represent the least worst case scenario.
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