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zhengchenyu commented on YARN-6223:
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I thinks NM recovery for gpu doesn't take effect. Becuase
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zhengchenyu commented on YARN-6223:
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I think there is a bug in below code.
{code}
try {
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Tan N. Le commented on YARN-6223:
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Hi Wangda Tan,
Does this feature have a working version yet? I am
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Wangda Tan commented on YARN-6223:
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[~chris.douglas], I just split native patch to YARN-6852 and included
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Chris Douglas commented on YARN-6223:
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[~leftnoteasy], could you summarize the implementation a bit?
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Zhankun Tang commented on YARN-6223:
[~wangda], sorry for the late reply. Great thanks for the ver.3
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Wangda Tan commented on YARN-6223:
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Opened YARN-6620 to track code works and reviews for GPU
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Zhankun Tang commented on YARN-6223:
[~wangda], Yeah, I agree. It's a very good plan.
> [Umbrella]
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Wangda Tan commented on YARN-6223:
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[~tangzhankun], all great suggestions.
>From what you mentioned,
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Wangda Tan commented on YARN-6223:
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[~grey],
[~hex108] mentioned sharing one GPU to multiple applications
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Wangda Tan commented on YARN-6223:
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[~Ying Zhang] sure thing :), could you take the uploaded doc/poc patch
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Zhankun Tang commented on YARN-6223:
[~wangda], thanks for sharing the whole story. I agree that we
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Ying Zhang commented on YARN-6223:
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Hi [~wangda], we are interested in this and would like to contribute.
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Vinod Kumar Vavilapalli commented on YARN-6223:
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bq. I had a clarification regarding GPU
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Lei Guo commented on YARN-6223:
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[~leftnoteasy], based on the description "YARN scheduler should account GPU
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Wangda Tan commented on YARN-6223:
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bq. Thanks Wangda Tan for initiating this. I had a clarification
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Subru Krishnan commented on YARN-6223:
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Thanks [~leftnoteasy] for initiating this. I had a
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Wangda Tan commented on YARN-6223:
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We're working on a prototype of the feature and will post design doc
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