• Applications/
• Horovod CANDLE NT3 Benchmark 1.0

Application-level Performance 105

• All

  • All

• Systems

  • ANL Theta

• Processors

  • 1 Processors
  • 2 Processors
  • 4 Processors
  • 6 Processors
  • 8 Processors
  • 12 Processors
  • 16 Processors
  • 24 Processors
  • 32 Processors
  • 48 Processors
  • 64 Processors
  • 96 Processors
  • 128 Processors
  • 192 Processors
  • 384 Processors

• Inputs

  • learning rate=0.001, batch size=10.0, epochs=1.0
  • learning rate=0.001, batch size=10.0, epochs=12.0
  • learning rate=0.001, batch size=10.0, epochs=128.0
  • learning rate=0.001, batch size=10.0, epochs=16.0
  • learning rate=0.001, batch size=10.0, epochs=192.0
  • learning rate=0.001, batch size=10.0, epochs=2.0
  • learning rate=0.001, batch size=10.0, epochs=24.0
  • learning rate=0.001, batch size=10.0, epochs=32.0
  • learning rate=0.001, batch size=10.0, epochs=384.0
  • learning rate=0.001, batch size=10.0, epochs=4.0
  • learning rate=0.001, batch size=10.0, epochs=48.0
  • learning rate=0.001, batch size=10.0, epochs=6.0
  • learning rate=0.001, batch size=10.0, epochs=8.0
  • learning rate=0.001, batch size=10.0, epochs=96.0
  • learning rate=0.001, batch size=20.0, epochs=1.0
  • learning rate=0.001, batch size=20.0, epochs=12.0
  • learning rate=0.001, batch size=20.0, epochs=128.0
  • learning rate=0.001, batch size=20.0, epochs=16.0
  • learning rate=0.001, batch size=20.0, epochs=192.0
  • learning rate=0.001, batch size=20.0, epochs=2.0
  • learning rate=0.001, batch size=20.0, epochs=24.0
  • learning rate=0.001, batch size=20.0, epochs=32.0
  • learning rate=0.001, batch size=20.0, epochs=384.0
  • learning rate=0.001, batch size=20.0, epochs=4.0
  • learning rate=0.001, batch size=20.0, epochs=48.0
  • learning rate=0.001, batch size=20.0, epochs=6.0
  • learning rate=0.001, batch size=20.0, epochs=64.0
  • learning rate=0.001, batch size=20.0, epochs=8.0
  • learning rate=0.001, batch size=20.0, epochs=96.0
  • learning rate=0.001, batch size=30.0, epochs=1.0
  • learning rate=0.001, batch size=30.0, epochs=12.0
  • learning rate=0.001, batch size=30.0, epochs=128.0
  • learning rate=0.001, batch size=30.0, epochs=16.0
  • learning rate=0.001, batch size=30.0, epochs=192.0
  • learning rate=0.001, batch size=30.0, epochs=2.0
  • learning rate=0.001, batch size=30.0, epochs=24.0
  • learning rate=0.001, batch size=30.0, epochs=32.0
  • learning rate=0.001, batch size=30.0, epochs=384.0
  • learning rate=0.001, batch size=30.0, epochs=4.0
  • learning rate=0.001, batch size=30.0, epochs=48.0
  • learning rate=0.001, batch size=30.0, epochs=6.0
  • learning rate=0.001, batch size=30.0, epochs=64.0
  • learning rate=0.001, batch size=30.0, epochs=8.0
  • learning rate=0.001, batch size=30.0, epochs=96.0
  • learning rate=0.001, batch size=40.0, epochs=1.0
  • learning rate=0.001, batch size=40.0, epochs=12.0
  • learning rate=0.001, batch size=40.0, epochs=128.0
  • learning rate=0.001, batch size=40.0, epochs=16.0
  • learning rate=0.001, batch size=40.0, epochs=192.0
  • learning rate=0.001, batch size=40.0, epochs=2.0
  • learning rate=0.001, batch size=40.0, epochs=24.0
  • learning rate=0.001, batch size=40.0, epochs=32.0
  • learning rate=0.001, batch size=40.0, epochs=384.0
  • learning rate=0.001, batch size=40.0, epochs=4.0
  • learning rate=0.001, batch size=40.0, epochs=48.0
  • learning rate=0.001, batch size=40.0, epochs=6.0
  • learning rate=0.001, batch size=40.0, epochs=64.0
  • learning rate=0.001, batch size=40.0, epochs=8.0
  • learning rate=0.001, batch size=40.0, epochs=96.0
  • learning rate=0.001, batch size=50.0, epochs=1.0
  • learning rate=0.001, batch size=50.0, epochs=12.0
  • learning rate=0.001, batch size=50.0, epochs=128.0
  • learning rate=0.001, batch size=50.0, epochs=16.0
  • learning rate=0.001, batch size=50.0, epochs=192.0
  • learning rate=0.001, batch size=50.0, epochs=2.0
  • learning rate=0.001, batch size=50.0, epochs=24.0
  • learning rate=0.001, batch size=50.0, epochs=32.0
  • learning rate=0.001, batch size=50.0, epochs=384.0
  • learning rate=0.001, batch size=50.0, epochs=4.0
  • learning rate=0.001, batch size=50.0, epochs=48.0
  • learning rate=0.001, batch size=50.0, epochs=6.0
  • learning rate=0.001, batch size=50.0, epochs=8.0
  • learning rate=0.001, batch size=50.0, epochs=96.0
  • learning rate=0.001, batch size=60.0, epochs=1.0
  • learning rate=0.001, batch size=60.0, epochs=12.0
  • learning rate=0.001, batch size=60.0, epochs=128.0
  • learning rate=0.001, batch size=60.0, epochs=16.0
  • learning rate=0.001, batch size=60.0, epochs=192.0
  • learning rate=0.001, batch size=60.0, epochs=2.0
  • learning rate=0.001, batch size=60.0, epochs=24.0
  • learning rate=0.001, batch size=60.0, epochs=32.0
  • learning rate=0.001, batch size=60.0, epochs=384.0
  • learning rate=0.001, batch size=60.0, epochs=4.0
  • learning rate=0.001, batch size=60.0, epochs=48.0
  • learning rate=0.001, batch size=60.0, epochs=6.0
  • learning rate=0.001, batch size=60.0, epochs=64.0
  • learning rate=0.001, batch size=60.0, epochs=8.0
  • learning rate=0.001, batch size=60.0, epochs=96.0
  • learning rate=0.001, batch size=70.0, epochs=1.0
  • learning rate=0.001, batch size=70.0, epochs=12.0
  • learning rate=0.001, batch size=70.0, epochs=128.0
  • learning rate=0.001, batch size=70.0, epochs=16.0
  • learning rate=0.001, batch size=70.0, epochs=192.0
  • learning rate=0.001, batch size=70.0, epochs=2.0
  • learning rate=0.001, batch size=70.0, epochs=24.0
  • learning rate=0.001, batch size=70.0, epochs=32.0
  • learning rate=0.001, batch size=70.0, epochs=384.0
  • learning rate=0.001, batch size=70.0, epochs=4.0
  • learning rate=0.001, batch size=70.0, epochs=48.0
  • learning rate=0.001, batch size=70.0, epochs=6.0
  • learning rate=0.001, batch size=70.0, epochs=64.0
  • learning rate=0.001, batch size=70.0, epochs=8.0
  • learning rate=0.001, batch size=70.0, epochs=96.0

• Executables

  • nt3-hybrid-opt.py