ANL Theta
Application-level Performance 357
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All
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Applications
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Processors
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Inputs
- domain dimension=2.0, Iters=100000.0
- Element size=256.0, Iters=1000.0
- Element size=256.0, Iters=1000.0, ckp L1=1.0, ckp L2=2.0, ckp L3=3.0, ckp L4=4.0
- Element size=256.0, Iters=1000.0, ckp L1=2.0, ckp L2=4.0, ckp L3=6.0, ckp L4=8.0
- Element size=256.0, Iters=1000.0, ckp L1=3.0, ckp L2=5.0, ckp L3=7.0, ckp L4=11.0
- Element size=256.0, Iters=1000.0, ckp L1=4.0, ckp L2=6.0, ckp L3=8.0, ckp L4=10.0
- Element size=256.0, Iters=1000.0, ckp L1=5.0, ckp L2=8.0, ckp L3=9.0, ckp L4=10.0
- gridpoints=100000.0, threads per node=64.0
- 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=100.0, epochs=384.0
- learning rate=0.001, batch size=110.0, epochs=384.0
- learning rate=0.001, batch size=120.0, epochs=384.0
- learning rate=0.001, batch size=130.0, epochs=384.0
- learning rate=0.001, batch size=140.0, epochs=384.0
- learning rate=0.001, batch size=150.0, epochs=384.0
- learning rate=0.001, batch size=160.0, epochs=384.0
- 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
- learning rate=0.001, batch size=80.0, epochs=384.0
- learning rate=0.001, batch size=90.0, epochs=384.0
- max matrix size=20000.0, min matrix size=6000.0, stride size=2000.0, block size=100.0, number of failure injetions=1.0
- max matrix size=20000.0, min matrix size=6000.0, stride size=2000.0, block size=100.0, number of failure injetions=2.0
- max matrix size=20000.0, min matrix size=6000.0, stride size=2000.0, block size=100.0, number of failure injetions=3.0
- max matrix size=20000.0, min matrix size=6000.0, stride size=2000.0, block size=100.0, number of failure injetions=4.0
- max matrix size=20000.0, min matrix size=6000.0, stride size=2000.0, block size=100.0, number of failure injetions=5.0
- max matrix size=50000.0, min matrix size=8000.0, stride size=2000.0, block size=100.0
- max matrix size=50000.0, min matrix size=8000.0, stride size=2000.0, block size=100.0, Ckp L1=1.0, Ckp L2=2.0, Ckp L3=3.0, Ckp L4=4.0
- ng=336.0, nstep=30.0, Memory mode-cache=1.0, FTI mode-synchronous=1.0, ckp L1=1.0, ckp L2=2.0, ckp L3=3.0, ckp L4=4.0
- nstep=3.0, nsub=5.0, ng/np=640.0
- Particles size=4000000.0, batch size=100.0, inactive size=20.0
- STREAM array size=256000000.0, NTIMES=5000.0
- STREAM array size=512000000.0, NTIMES=5000.0