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Posted to commits@harmony.apache.org by "Mikhail Fursov (JIRA)" <ji...@apache.org> on 2008/03/12 13:22:46 UTC
[jira] Assigned: (HARMONY-5584) [drlvm][jit][opt][performance]
Inliner heuristics improvements: hotness and instance initializer bonuses
[ https://issues.apache.org/jira/browse/HARMONY-5584?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Mikhail Fursov reassigned HARMONY-5584:
---------------------------------------
Assignee: Mikhail Fursov
> [drlvm][jit][opt][performance] Inliner heuristics improvements: hotness and instance initializer bonuses
> --------------------------------------------------------------------------------------------------------
>
> Key: HARMONY-5584
> URL: https://issues.apache.org/jira/browse/HARMONY-5584
> Project: Harmony
> Issue Type: Improvement
> Environment: all
> Reporter: Aleksey Shipilev
> Assignee: Mikhail Fursov
> Attachments: H5584-inliner-heuristics.patch
>
>
> During the profiling of Scimark2 [1] it was found that inliner misses the inline opportunities for monte_carlo.
> This is the code for hottest method:
> public static final double integrate(int Num_samples)
> {
> Random R = new Random(SEED);
> int under_curve = 0;
> for (int count=0; count<Num_samples; count++)
> {
> double x= R.nextDouble();
> double y= R.nextDouble();
> if ( x*x + y*y <= 1.0)
> under_curve ++;
>
> }
> return ((double) under_curve / Num_samples) * 4.0;
> }
> Problems are:
> 1. nextDouble is not inlined
> 2. nextDouble is internally synchronized
> Attached patch solves these two problems:
> 1. fixing hotness bonus calculation. This is the issue Random.nextDouble() hit on: this method called in hot cycle and missing inline opportunity due to glitch in scaling function, which should be more additive rather than multiplicative.
> 2. introducing instance initializer bonus. This helps to inline constructor with all corresponding methods to help scalar replacement with scalarizing of R (and eliminating synchronization too).
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