" If Java consumes 15% more power doing it, does
it matter on a PC? Most people don't dare. Does it matter for
small-scale server environments? Maybe not. Does it matter
when you deploy Hadoop on a 10,000 node cluster, and the
holistic inefficiency (multiple things running concurrently)
goes to 30%? Ask the people who sign the checks for the power
bill. Unfortunately, inefficiency scales really well.
No, Java does not consume 15% doing it, because there isn't
just one implementation of Java compilers.
Most comercial JVMs do offer the capability of ahead of time
native code compilation or JIT caches.
So when those 15% really matter, enterprises do shell out the
money for such JVMs.
Oracle commercial JVM and the OpenJDK are just the reference
implementation.
Thanks for the colour. (For clarity, the content from the link
wasn't by me, and I meant the general gist rather than the
details). How do commercial JVMs rate in terms of memory usage
against thoughtful native (D) code implementations? Is the basic
point mistaken?
