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From "Ferdinand Xu (JIRA)" <j...@apache.org>
Subject [jira] [Updated] (HIVE-10189) Create a micro benchmark tool for vectorization to evaluate the performance gain after SIMD optimization
Date Wed, 08 Apr 2015 08:52:12 GMT

     [ https://issues.apache.org/jira/browse/HIVE-10189?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]

Ferdinand Xu updated HIVE-10189:
--------------------------------
    Description: 
We should show the performance gain from SIMD optimization.
Current score is as follows:
Benchmark                                                    Mode  Samples      Score   Error
 Units
o.a.h.b.v.VectorizationBench.DoubleAddDoubleExpr.bench       avgt        2  20719.882 ?  NaN
 ns/op
o.a.h.b.v.VectorizationBench.DoubleAddLongExpr.bench         avgt        2  22216.747 ?  NaN
 ns/op
o.a.h.b.v.VectorizationBench.DoubleDivideDoubleExpr.bench    avgt        2  54319.682 ?  NaN
 ns/op
o.a.h.b.v.VectorizationBench.DoubleDivideLongExpr.bench      avgt        2  34774.870 ?  NaN
 ns/op
o.a.h.b.v.VectorizationBench.LongAddDoubleExpr.bench         avgt        2  47144.954 ?  NaN
 ns/op
o.a.h.b.v.VectorizationBench.LongAddLongExpr.bench           avgt        2  21483.787 ?  NaN
 ns/op
o.a.h.b.v.VectorizationBench.LongDivideDoubleExpr.bench      avgt        2  49765.990 ?  NaN
 ns/op
o.a.h.b.v.VectorizationBench.LongDivideLongExpr.bench        avgt        2  34117.538 ?  NaN
 ns/op

  was:We should show the performance gain from SIMD optimization.


> Create a micro benchmark tool for vectorization to evaluate the performance gain after
SIMD optimization
> --------------------------------------------------------------------------------------------------------
>
>                 Key: HIVE-10189
>                 URL: https://issues.apache.org/jira/browse/HIVE-10189
>             Project: Hive
>          Issue Type: Sub-task
>            Reporter: Ferdinand Xu
>            Assignee: Ferdinand Xu
>         Attachments: HIVE-10189.1.patch, HIVE-10189.2.patch, HIVE-10189.patch, avx-64.docx
>
>
> We should show the performance gain from SIMD optimization.
> Current score is as follows:
> Benchmark                                                    Mode  Samples      Score
  Error  Units
> o.a.h.b.v.VectorizationBench.DoubleAddDoubleExpr.bench       avgt        2  20719.882
?  NaN  ns/op
> o.a.h.b.v.VectorizationBench.DoubleAddLongExpr.bench         avgt        2  22216.747
?  NaN  ns/op
> o.a.h.b.v.VectorizationBench.DoubleDivideDoubleExpr.bench    avgt        2  54319.682
?  NaN  ns/op
> o.a.h.b.v.VectorizationBench.DoubleDivideLongExpr.bench      avgt        2  34774.870
?  NaN  ns/op
> o.a.h.b.v.VectorizationBench.LongAddDoubleExpr.bench         avgt        2  47144.954
?  NaN  ns/op
> o.a.h.b.v.VectorizationBench.LongAddLongExpr.bench           avgt        2  21483.787
?  NaN  ns/op
> o.a.h.b.v.VectorizationBench.LongDivideDoubleExpr.bench      avgt        2  49765.990
?  NaN  ns/op
> o.a.h.b.v.VectorizationBench.LongDivideLongExpr.bench        avgt        2  34117.538
?  NaN  ns/op



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