RFR: 8286823: Default to UseAVX=2 on all Skylake/Cascade Lake CPUs

[Sandhya Viswanathan]

On Mon, 16 May 2022 15:52:22 GMT, olivergillespie <duke at openjdk.java.net> wrote:

> The current code already does this for 'older' Skylake processors,
> namely those with _stepping < 5. My testing indicates this is a
> problem for later processors in this family too, so I have removed the
> max stepping condition.
> 
> The original exclusion was added in https://bugs.openjdk.java.net/browse/JDK-8221092.
> 
> A general description of the overall issue is given at
> https://en.wikipedia.org/wiki/Advanced_Vector_Extensions#Downclocking.
> 
> According to https://en.wikichip.org/wiki/intel/microarchitectures/cascade_lake#CPUID,
> stepping values 5..7 indicate Cascade Lake. I have tested on a CPU with stepping=7,
> and I see CPU frequency reduction from 3.1GHz down to 2.7GHz (~23%) when using
> -XX:UseAVX=3, along with a corresponding performance reduction.
> 
> I first saw this issue in a real production workload, where the main AVX3 instructions
> being executed were those generated for various flavours of disjoint_arraycopy.
> 
> I can reproduce a similar effect using SPECjvm2008's xml.transform benchmark.
> 
> 
> java --add-opens=java.xml/com.sun.org.apache.xerces.internal.parsers=ALL-UNNAMED \
> --add-opens=java.xml/com.sun.org.apache.xerces.internal.util=ALL-UNNAMED \
> -jar SPECjvm2008.jar -ikv -ict xml.transform
> 
> 
> Before the change, or with -XX:UseAVX=3:
> 
> 
> Valid run!
> Score on xml.transform: 776.00 ops/m
> 
> 
> After the change, or with -XX:UseAVX=2:
> 
> 
> Valid run!
> Score on xml.transform: 894.07 ops/m
> 
> 
> So, a 15% improvement in this benchmark. It's possible some benchmarks will be negatively
> affected by this change, but I contend that this is still the right move given the stark
> difference in this benchmark combined with the fact that use of AVX3 instructions can
> affect *all* processes/code on the host due to the downclocking, and the fact that this
> effect is very hard to root-cause, for example CPU profiles look very similar before and
> after since all code is equally slowed.

We restricted this to Skylake only as Cascade Lake has improvements in this regard on the platform.
There are AVX512 optimizations in the JVM that are beneficial on Cascade Lake.

-------------

PR: https://git.openjdk.java.net/jdk/pull/8731