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https://issues.apache.org/jira/browse/HADOOP-4437?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Tsz Wo (Nicholas), SZE updated HADOOP-4437:
-------------------------------------------
Resolution: Fixed
Status: Resolved (was: Patch Available)
Tested manually with a 100-nodes cluster. The biggest sample set I have run
was
- 1000 maps and 10000000 samples per map.
Job Finished in 67.337 seconds
Estimated value of PI is 3.14159264520000000000
I just committed this.
> Use qMC sequence to improve the accuracy of PiEstimator
> -------------------------------------------------------
>
> Key: HADOOP-4437
> URL: https://issues.apache.org/jira/browse/HADOOP-4437
> Project: Hadoop Core
> Issue Type: Improvement
> Components: examples
> Reporter: Tsz Wo (Nicholas), SZE
> Assignee: Tsz Wo (Nicholas), SZE
> Priority: Minor
> Fix For: 0.20.0
>
> Attachments: 4437_20081019.patch, 4437_20081103.patch
>
>
> Currently, PiEstimator uses java.util.Random to generate random 2d-points for
> estimating pi. The numbers generated by java.util.Random are uniformly
> distributed. The 2d-points generated tense to have clump and gap. So the
> accuracy of the estimated pi is low. The accuracy can be improved by using a
> quasi-Monte Carlo (qMC) sequence.
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