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From "Milind Bhandarkar (Commented) (JIRA)" <j...@apache.org>
Subject [jira] [Commented] (MAPREDUCE-2911) Hamster: Hadoop And Mpi on the same cluSTER
Date Wed, 11 Apr 2012 16:41:24 GMT

    [ https://issues.apache.org/jira/browse/MAPREDUCE-2911?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=13251718#comment-13251718
] 

Milind Bhandarkar commented on MAPREDUCE-2911:
----------------------------------------------

Thanks for the summary & status, Ralph. It is true that not a lot of Hadoop users so far
are concerned with the job startup time, given that the job typically runs for several minutes.
(In my experience, the hadoop clusters are heavily oversubscribed, and job might even be pending
in the queue for several minutes before even the first task is started.)

So, I think a slow wireup should be acceptable to the hadoop community, and there is a value
in having hamster use yarn. (Since your second approach of plugging in a HPC RM can remain
modularly separate, one can have both implementations, increasing the choice for users, which
is good, IMHO.)
                
> Hamster: Hadoop And Mpi on the same cluSTER
> -------------------------------------------
>
>                 Key: MAPREDUCE-2911
>                 URL: https://issues.apache.org/jira/browse/MAPREDUCE-2911
>             Project: Hadoop Map/Reduce
>          Issue Type: New Feature
>          Components: mrv2
>    Affects Versions: 0.23.0
>         Environment: All Unix-Environments
>            Reporter: Milind Bhandarkar
>            Assignee: Ralph H Castain
>             Fix For: 0.24.0
>
>   Original Estimate: 336h
>  Remaining Estimate: 336h
>
> MPI is commonly used for many machine-learning applications. OpenMPI (http://www.open-mpi.org/)
is a popular BSD-licensed version of MPI. In the past, running MPI application on a Hadoop
cluster was achieved using Hadoop Streaming (http://videolectures.net/nipsworkshops2010_ye_gbd/),
but it was kludgy. After the resource-manager separation from JobTracker in Hadoop, we have
all the tools needed to make MPI a first-class citizen on a Hadoop cluster. I am currently
working on the patch to make MPI an application-master. Initial version of this patch will
be available soon (hopefully before September 10.) This jira will track the development of
Hamster: The application master for MPI.

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