jdk 9 performance optimizations
jborgers at jpinpoint.com
Tue Nov 3 22:21:40 UTC 2015
One of the goals of Jigsaw that intrigue me, I read here: http://openjdk.
*Enable ahead-of-time, whole-program optimization techniques* -
The optimization techniques envisioned here include, but are not limited
to: Fast lookup of both JDK and application classes; early bytecode
verification; aggressive inlining of, *e.g.*, lambda expressions, and other
standard compiler optimizations; construction of JVM-specific memory images
that can be loaded more efficiently than class files; ahead-of-time
compilation of method bodies to native code; and the removal of unused
fields, methods, and classes. These kinds of techniques tend to work best
when JDK and application code is analyzed together, prior to run time.
*Optimize existing code as-is* — It must be possible to apply the
optimizer tool to existing code already packaged in traditional jar files,
without changing those files.
*Actual optimizations* — As a proof of concept, provide at least two
optimizations that deliver nontrivial performance benefits.
I am curious about the following:
* What is the current state of this? Which techniques/optimizations are
already implemented and available from the current ea JDK9 or will be?
* Are there any new insights/developments in this area?
* I noticed in my JMH microbenchmark with parallel stream and lambda's that
it runs slightly faster on 9_b85 compared to 8_u66. Could this be caused by
more aggressive inlining of lambda's?
* It seems to me that some compilation and optimization work is moved from
runtime to link time /AOT time, yet, we don't have profiling information
there, so this will be limited, right? Are there obvious cases which work
* I don't really see why aggressive inlining and std optimizations can now
be more effective. Because there will be less de-optimization events needed
because of better predictability? Can in-lining now take place in two ways,
between platform modules and application? Through interfaces?
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