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Our System Characteristics (more details in GitHub Repo)

• Instance type: IBM Power9 Hal000, 8335-GTG AC922 server
• • CPU: 2x 20-core IBM POWER9 CPU @ 2.00GHz
  • SDRAM: 512G DDR4
  • GPU: 4x NVIDIA® Tesla® V100, 5120 cores, 16 GB HBM 2
  • Disk: Local SSD
•  OS: Red Hat Enterprise Linux Server release 7.4
• Python Distribution: Anaconda python 3.6.2
• CUDA / cuDNN: 9.1/7.0.5
• TensorFLow Version: 1.5.0
• DataSet: ImageNet (synthetic)
• Precision: floating point 32 and 16
• Test Date: Mar 25 2018POWER9 (hal000)

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