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https://issues.apache.org/jira/browse/MAPREDUCE-2911?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=13696389#comment-13696389
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Zhuoluo (Clark) Yang commented on MAPREDUCE-2911:
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Hi [~acmurthy]
Sorry for late respone, I was on my vocation recently.
1. The stage is that we store almost all the data on the HDFS cluster, all the
mpi jobs need these data, so we try to run MPI on it. (Moving the mpi
computation to where data stores) There is a 100-node cluster runs MPICH2 on
Yarn, and we run simple PLDA/LA application on it.
2. I am not good at license problem, and I think Apache linsence is great and
friendly to comercial usage. Should I list that on the README.md?
3. We are really insterested in contributing the project to ASF. The design is
simple ,make each nodemanger runs a "smpd" daemon and make application master
run "mpiexec" to submit mpi jobs. The biggest problem here, I think, is the
yarn scheduler do not support gang secheduling algorithm, and the scheduling is
very very slow. I think if we want to run the MPI fast, we really need
collaborators to help us modify the scheduler.
Thank you very much.
> 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
> 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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