Yeah, but as far as I know, if you want to run Linux applications, they run in a virtual machine after you enable and download Linux support in ChromeOS. Otherwise you are limited to the Google Play store.
Basically, every floating point number represents a range of numbers. Which can lead to small errors like this. It has also to do with trying to represent a decimal number in binary, which works fine for integers but not for rational numbers.
Is there a reason Android studio is so fucking resource hungry? XCode is running way better with a simulator open and the other Jetbrain IDEs are just fine as well and so is any other virtualization. It’s just Android Studio that sucks somehow.
But they are slow. At least when you’re doing a lot of things at once on your machine (I run ~20 “microservices” for my local dev environment because it’s a goddamn distributed monolith, most of them are JVM). IntelliJ often grinds down to a halt. Other software on my laptop runs fine. Firefox doesn’t get slow at all.
It has been shown to run faster in some benchmarks. This is usually due to hotspot optimizations performed at runtime by the VM, but also sometimes thanks to offloading the (often costly) deallocation of memory from the main thread. Since Java has a GC running in a background thread, the deallocation of memory occurs outside of the measured execution.
However, I remain convinced that while burst execution of a computation can perform on par with a language like C or Rust, the total resource usage of Java code is significantly worse. When taking into account the entire execution including GC and JIT compilation, it will have spent more memory and/or CPU cycles. It’s harder to quantify, but the overall performance experienced by the user becomes worse. Fans run more and battery time is lower.
And yeah, I’d say Java libraries are generally more poorly written than e.g. their Rust counterparts, for example not paying attention to the CPU cache (which is hard and sometimes impossible since Java still lacks value classes).
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