RFR: 8282024: add EscapeAnalysis statistics under PrintOptoStatistics [v14]
Xin Liu
xliu at openjdk.java.net
Sat May 21 05:15:45 UTC 2022
On Fri, 20 May 2022 23:59:58 GMT, Vladimir Kozlov <kvn at openjdk.org> wrote:
>> src/hotspot/share/opto/escape.cpp line 3756:
>>
>>> 3754:
>>> 3755: void ConnectionGraph::print_statistics() {
>>> 3756: // EA stats might be slightly off since objects might be double counted due to iterative EA
>>
>> I don't understand. your approach almost worked in last revision. All you need to do is to adjust for the last iteration.
>>
>> This revision drops it. I don't think it would be "slightly" off, even double counted is optimistic. A java object will be counted repeat if iterEA iterates N times. My concern is the final statistical counters become incomparable.
>>
>> Why did you drop snapshot approach in https://github.com/openjdk/jdk/pull/8019/commits/0805514aec4c3d0bd5ec935c089e315e4b37c7fa?
>
> @navyxliu, please, explain what do you mean "snapshot approach" and suggest how we should do it.
In previous revision, @aamarsh used 3 data members of Compile. This tuple is a snapshot.
_local_no_escape_ctr
_local_arg_escape_ctr
_local_global_escape_ctr
ConnectionGraph::escape_state_statistics() initializes them all zeros and categorize Java objects of the connection graph.
here is the framework.
do {
EscapeAnalysis();
MacroExpand.eliminate_macro_nodes();
} while (progress?);
#ifndef PRODUCT
Atomic::add(&ConnectionGraph::_no_escape_counter, _local_no_escape_ctr + total_scalar_replaced);
Atomic::add(&ConnectionGraph::_arg_escape_counter, _local_arg_escape_ctr);
Atomic::add(&ConnectionGraph::_global_escape_counter, _local_global_escape_ctr);
#endif
Both you and @JohnTortugo pointed out that there was a bug in previous revision. We overlook that non-escaped objects are double-counted in last iteration. I think it's amendable.
I call this snapshot approach because it uses the snapshot of last iteration to update global statistical counters. all intermediate snapshots are drop. Allow me to write down @aamarsh 's approach.
The number of Java object `JO` is from user-program by nature. EscapeAnalysis breaks them down into 3 categories. non-escaped, arg-escaped and global escaped. Without iterative EA, we can report this snapshot to statistical counters.
With iterative EA, a problem arise. Some objects elided in previous iteration of MacroExpansion. if we use last snapshot, we have to add those eliminated java objects. Let's say iterative EA iterates N times in total. `E` is the number of eliminated java object from 1 to N-1 iterations (exclude the last iteration here).
Since all eliminated objects must be non-escaped, so we add E back to _no_escape_counter. We account for all java objects of this compilation unit.
Atomic::add(&ConnectionGraph::_no_escape_counter, _local_no_escape_ctr + E);
Atomic::add(&ConnectionGraph::_arg_escape_counter, _local_arg_escape_ctr);
Atomic::add(&ConnectionGraph::_global_escape_counter, _local_global_escape_ctr);
In this way, We keep track of all java objects of this CU for iterative EA. I think it's accurate.
JO = _local_no_escape_ctr + E + _local_arg_escape_ctr + _local_global_escape_ctr
I suggest to hoist the variable `PhaseMacroExpand mexp` out of loop and make it stateful to track E.
-------------
PR: https://git.openjdk.java.net/jdk/pull/8019
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