RFR (S) CR 7177472: JSR292: MethodType interning penalizes scalability
Aleksey Shipilev
aleksey.shipilev at oracle.com
Tue Jun 11 09:03:02 PDT 2013
On 06/11/2013 07:43 PM, Christian Thalinger wrote:
> Thanks for this but I was thinking running it with -Xprof to see
> whether some of the table methods show up on the profile.
I put little trust into this kind of profiling, but here's the sample
output from JMH -prof stack, while running with 4 threads:
Before:
> Iteration 5 (20s in 4 threads): 380.982 msec/op
> Stack | 24.8% RUNNABLE jdk.nashorn.internal.runtime.regexp.joni.ByteCodeMachine.matchAt
> | 6.5% RUNNABLE jdk.nashorn.internal.runtime.regexp.joni.SearchAlgorithm$3.search
> | 5.2% RUNNABLE java.lang.Class.getClassLoader0
> | 3.3% RUNNABLE java.lang.ThreadLocal.get
> | 3.0% RUNNABLE jdk.nashorn.internal.runtime.regexp.JoniRegExp$JoniMatcher.<init>
> | 2.9% RUNNABLE jdk.nashorn.internal.objects.NativeRegExp.replace
> | 2.4% RUNNABLE jdk.nashorn.internal.runtime.regexp.joni.Matcher.forwardSearchRange
> | 2.3% RUNNABLE jdk.nashorn.internal.objects.NativeRegExp.exec
> | 2.1% RUNNABLE jdk.nashorn.internal.objects.NativeRegExp.groups
> | 1.9% RUNNABLE jdk.nashorn.internal.objects.NativeString.replace
> | 45.6% (other)
> |
After:
> Iteration 5 (20s in 4 threads): 358.121 msec/op
> Stack | 24.7% RUNNABLE jdk.nashorn.internal.runtime.regexp.joni.ByteCodeMachine.matchAt
> | 5.7% RUNNABLE java.lang.Class.getClassLoader0
> | 5.3% RUNNABLE jdk.nashorn.internal.runtime.regexp.joni.SearchAlgorithm$3.search
> | 3.5% RUNNABLE java.lang.ThreadLocal.get
> | 3.4% RUNNABLE jdk.nashorn.internal.runtime.regexp.JoniRegExp$JoniMatcher.<init>
> | 2.7% RUNNABLE jdk.nashorn.internal.objects.NativeRegExp.replace
> | 2.3% RUNNABLE jdk.nashorn.internal.runtime.regexp.joni.Matcher.forwardSearchRange
> | 1.8% RUNNABLE jdk.nashorn.internal.objects.NativeRegExp.exec
> | 1.7% RUNNABLE jdk.nashorn.internal.objects.NativeString.replace
> | 1.5% RUNNABLE jdk.nashorn.internal.runtime.regexp.joni.StackMachine.pop
> | 47.3% (other)
> |
-Xprof shows the similar data.
-Aleksey.
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