I would rather see a matrix that looks local but acts global so that coders can 
produce very simple code that is still parallelized.  

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> On Apr 1, 2014, at 11:09, "Anand Avati (JIRA)" <[email protected]> wrote:
> 
> 
>    [ 
> https://issues.apache.org/jira/browse/MAHOUT-1500?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=13956283#comment-13956283
>  ] 
> 
> Anand Avati commented on MAHOUT-1500:
> -------------------------------------
> 
> Thanks for your feedback, Dmitry.
> 
> Now it seems to me (with my limited exploring of Mahout) that it might 
> actually be viable to provide a "hadoop alternative" in the form of an 
> alternate implementation of DistributedRowMatrix (instead of AbstractMatrix) 
> and AbstractJob (by internally using h2o's Frame/Vec and MRTask2 APIs), and 
> thereby allow for a runtime choice of Hadoop vs H2O. This seems like a 
> reasonable first step?
> 
>> H2O integration
>> ---------------
>> 
>>                Key: MAHOUT-1500
>>                URL: https://issues.apache.org/jira/browse/MAHOUT-1500
>>            Project: Mahout
>>         Issue Type: Improvement
>>           Reporter: Anand Avati
>>            Fix For: 1.0
>> 
>> 
>> Integration with h2o (github.com/0xdata/h2o) in order to exploit its high 
>> performance computational abilities.
>> Start with providing implementations of AbstractMatrix and AbstractVector, 
>> and more as we make progress.
> 
> 
> 
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