Github user tgravescs commented on the pull request:

    https://github.com/apache/spark/pull/1906#issuecomment-54311053
  
    @copester Any chance you can upmerge this and update based on the jira 
conversation.  I think the issue is actually with yarn alpha version now.  The 
yarn alpha version of this shouldn't subtract out the memoryOverhead since its 
using that directly as the heap size and adding in the memory overhead when it 
requests the AM container (    memoryResource.setMemory(args.amMemory + 
memoryOverhead)).
    
    We also don't really need to do the logic there of rounding based on the 
getMinimumResourceCapability because Yarn will handle that for us.  So I think 
we can actually remove the calculateAMMemory routines and just use 
args.amMemory.  


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