Deep learning with 4028GR-TXR (AlexNet)

Discussion in 'Machine Learning, Deep Learning, and AI' started by dhenzjhen, May 31, 2017.

  1. dhenzjhen

    dhenzjhen Member

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    Deep learning for fun and new *opportunities :)

    Supermicro 4028GR-TXR system
    Intel E5 2698 V4 x 2
    Samsung 16GB 2400 x 24
    Nvidia P100-SXM2 GPU x 8
    BIOS 3/22/17
    IPMI 3.52
    Software stack: Centos 7.2 x64, Nvidia driver 375.20, Cuda_8.0.44, Caffe(AlexNet/GoogleNet), Nccl
    Glog, Lmdb, Hdf5, Cudnn-8.0, Gflags, Python and Leveldb

    [​IMG]
    All results are based on Alex Krishesky's published papers.

    References:
    NVIDIA Caffe · NVIDIA/nvidia-docker Wiki · GitHub
    How to Download and Install Caffe on NVIDIA GPUs
    Model Zoo · BVLC/caffe Wiki · GitHub
    Caffe | Model Zoo
    Caffe | ImageNet tutorial
     

    Attached Files:

    #1
    William likes this.
  2. William

    William Active Member

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    Nice DJ !
     
    #2
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  3. dhenzjhen

    dhenzjhen Member

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    Thanks Bill! I need to try more on 2x and 1x config to get close to at least 77-78% accuracy.
     
    #3
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  4. MiniKnight

    MiniKnight Well-Known Member

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    #4
  5. Patrick

    Patrick Administrator
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    #5
  6. dhenzjhen

    dhenzjhen Member

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    Yessir no prob, but if you want to start asap there's a Nvidia caffe link on the reference you can follow.

    PS. I know KJ by the way :)


    Sent from my SM-N900T using Tapatalk
     
    #6
    Last edited by a moderator: Jun 1, 2017
  7. MiniKnight

    MiniKnight Well-Known Member

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    MOAR Benches! @Patrick you should do a youtube vid of one of those systems.
     
    #7
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  8. dhenzjhen

    dhenzjhen Member

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    Moar benchies coming soon for sure :)
     
    #8
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  9. Patrick

    Patrick Administrator
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    Just woke up. 4:30AM Taipei time.

    @dhenzjhen - next week item. I also edited KJ's name to initials.
     
    #9
  10. dhenzjhen

    dhenzjhen Member

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    I tried training images with digits and it's fun but of course the backend still using caffe :)
    Index of /~chmod755/sth
     
    #10
  11. Patrick

    Patrick Administrator
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    Digits is easy but not used as widely as NVIDIA would lead some to believe.
     
    #11
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