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Application
Horovod CANDLE NT3 Benchmark 1.0
System
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
Input
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
Frequency
1.301 GHz
Executable
nt3-hybrid-opt.py
Horovod CANDLE NT3 Benchmark 1.0
Download CSV
E-AMOM
Scatter-Plot
Application-level Performance
100s
300w
Horovod CANDLE NT3 Benchmark 1.0; ANL Theta; 1 Processors; 1.301 GHz; nt3-hybrid-opt.py; learning rate=0.001, batch size=10.0, epochs=1.0
119722
900.721152
144.530522
Horovod CANDLE NT3 Benchmark 1.0; ANL Theta; 2 Processors; 1.301 GHz; nt3-hybrid-opt.py; learning rate=0.001, batch size=10.0, epochs=2.0
119723
937.793177
140.909382
Horovod CANDLE NT3 Benchmark 1.0; ANL Theta; 4 Processors; 1.301 GHz; nt3-hybrid-opt.py; learning rate=0.001, batch size=10.0, epochs=4.0
119724
954.923215
144.870225
Horovod CANDLE NT3 Benchmark 1.0; ANL Theta; 6 Processors; 1.301 GHz; nt3-hybrid-opt.py; learning rate=0.001, batch size=10.0, epochs=6.0
119725
978.383178
138.8186
Horovod CANDLE NT3 Benchmark 1.0; ANL Theta; 8 Processors; 1.301 GHz; nt3-hybrid-opt.py; learning rate=0.001, batch size=10.0, epochs=8.0
119726
951.101073
140.90804
Horovod CANDLE NT3 Benchmark 1.0; ANL Theta; 12 Processors; 1.301 GHz; nt3-hybrid-opt.py; learning rate=0.001, batch size=10.0, epochs=12.0
119727
995.149098
136.587437
Horovod CANDLE NT3 Benchmark 1.0; ANL Theta; 16 Processors; 1.301 GHz; nt3-hybrid-opt.py; learning rate=0.001, batch size=10.0, epochs=16.0
119728
965.015053
136.54117
Horovod CANDLE NT3 Benchmark 1.0; ANL Theta; 24 Processors; 1.301 GHz; nt3-hybrid-opt.py; learning rate=0.001, batch size=10.0, epochs=24.0
119729
1103.612778
133.842915
Horovod CANDLE NT3 Benchmark 1.0; ANL Theta; 32 Processors; 1.301 GHz; nt3-hybrid-opt.py; learning rate=0.001, batch size=10.0, epochs=32.0
119730
1077.636786
133.612245
Horovod CANDLE NT3 Benchmark 1.0; ANL Theta; 48 Processors; 1.301 GHz; nt3-hybrid-opt.py; learning rate=0.001, batch size=10.0, epochs=48.0
119731
1195.068014
139.04097
Horovod CANDLE NT3 Benchmark 1.0; ANL Theta; 64 Processors; 1.301 GHz; nt3-hybrid-opt.py; learning rate=0.001, batch size=70.0, epochs=64.0
119732
1081.843377
135.966728
119792
798.332677
144.186366
119822
780.228245
137.092249
Horovod CANDLE NT3 Benchmark 1.0; ANL Theta; 96 Processors; 1.301 GHz; nt3-hybrid-opt.py; learning rate=0.001, batch size=10.0, epochs=96.0
119733
1456.063533
133.745199
Horovod CANDLE NT3 Benchmark 1.0; ANL Theta; 128 Processors; 1.301 GHz; nt3-hybrid-opt.py; learning rate=0.001, batch size=10.0, epochs=128.0
119734
1130.052335
143.647241
Horovod CANDLE NT3 Benchmark 1.0; ANL Theta; 192 Processors; 1.301 GHz; nt3-hybrid-opt.py; learning rate=0.001, batch size=10.0, epochs=192.0
119735
1590.739973
133.026084
Horovod CANDLE NT3 Benchmark 1.0; ANL Theta; 384 Processors; 1.301 GHz; nt3-hybrid-opt.py; learning rate=0.001, batch size=10.0, epochs=384.0
119736
Lowest Power
1666.116012
128.908518
Horovod CANDLE NT3 Benchmark 1.0; ANL Theta; 1 Processors; nt3-hybrid-opt.py; learning rate=0.001, batch size=20.0, epochs=1.0
119737
787.594734
145.666032
Horovod CANDLE NT3 Benchmark 1.0; ANL Theta; 2 Processors; nt3-hybrid-opt.py; learning rate=0.001, batch size=20.0, epochs=2.0
119738
813.065024
147.524892
Horovod CANDLE NT3 Benchmark 1.0; ANL Theta; 4 Processors; nt3-hybrid-opt.py; learning rate=0.001, batch size=20.0, epochs=4.0
119739
833.275864
147.183563
Horovod CANDLE NT3 Benchmark 1.0; ANL Theta; 6 Processors; nt3-hybrid-opt.py; learning rate=0.001, batch size=20.0, epochs=6.0
119740
854.475761
143.680117
Horovod CANDLE NT3 Benchmark 1.0; ANL Theta; 8 Processors; nt3-hybrid-opt.py; learning rate=0.001, batch size=20.0, epochs=8.0
119741
841.180391
143.632799
Horovod CANDLE NT3 Benchmark 1.0; ANL Theta; 12 Processors; nt3-hybrid-opt.py; learning rate=0.001, batch size=20.0, epochs=12.0
119742
868.98898
143.325086
Horovod CANDLE NT3 Benchmark 1.0; ANL Theta; 16 Processors; nt3-hybrid-opt.py; learning rate=0.001, batch size=20.0, epochs=16.0
119743
854.512225
138.735673
Horovod CANDLE NT3 Benchmark 1.0; ANL Theta; 24 Processors; nt3-hybrid-opt.py; learning rate=0.001, batch size=20.0, epochs=24.0
119744
880.59881
143.069807
Horovod CANDLE NT3 Benchmark 1.0; ANL Theta; 32 Processors; nt3-hybrid-opt.py; learning rate=0.001, batch size=20.0, epochs=32.0
119745
862.347762
142.155852
Horovod CANDLE NT3 Benchmark 1.0; ANL Theta; 48 Processors; nt3-hybrid-opt.py; learning rate=0.001, batch size=20.0, epochs=48.0
119746
892.287634
136.480672
Horovod CANDLE NT3 Benchmark 1.0; ANL Theta; 64 Processors; nt3-hybrid-opt.py; learning rate=0.001, batch size=20.0, epochs=64.0
119747
863.48636
140.491319
Horovod CANDLE NT3 Benchmark 1.0; ANL Theta; 96 Processors; nt3-hybrid-opt.py; learning rate=0.001, batch size=20.0, epochs=96.0
119748
910.059484
134.454146
Horovod CANDLE NT3 Benchmark 1.0; ANL Theta; 128 Processors; nt3-hybrid-opt.py; learning rate=0.001, batch size=20.0, epochs=128.0
119749
886.422392
142.122817
Horovod CANDLE NT3 Benchmark 1.0; ANL Theta; 192 Processors; nt3-hybrid-opt.py; learning rate=0.001, batch size=20.0, epochs=192.0
119750
939.445307
140.131243
Horovod CANDLE NT3 Benchmark 1.0; ANL Theta; 384 Processors; nt3-hybrid-opt.py; learning rate=0.001, batch size=20.0, epochs=384.0
119751
964.796224
143.806552
Horovod CANDLE NT3 Benchmark 1.0; ANL Theta; 1 Processors; 1.301 GHz; nt3-hybrid-opt.py; learning rate=0.001, batch size=30.0, epochs=1.0
119752
752.156609
146.118937
Horovod CANDLE NT3 Benchmark 1.0; ANL Theta; 2 Processors; 1.301 GHz; nt3-hybrid-opt.py; learning rate=0.001, batch size=30.0, epochs=2.0
119753
767.435395
144.919218
Horovod CANDLE NT3 Benchmark 1.0; ANL Theta; 4 Processors; 1.301 GHz; nt3-hybrid-opt.py; learning rate=0.001, batch size=30.0, epochs=4.0
119754
790.626288
139.199115
Horovod CANDLE NT3 Benchmark 1.0; ANL Theta; 6 Processors; 1.301 GHz; nt3-hybrid-opt.py; learning rate=0.001, batch size=30.0, epochs=6.0
119755
804.149408
138.575871
Horovod CANDLE NT3 Benchmark 1.0; ANL Theta; 8 Processors; 1.301 GHz; nt3-hybrid-opt.py; learning rate=0.001, batch size=30.0, epochs=8.0
119756
803.07276
141.024269
Horovod CANDLE NT3 Benchmark 1.0; ANL Theta; 12 Processors; 1.301 GHz; nt3-hybrid-opt.py; learning rate=0.001, batch size=30.0, epochs=12.0
119757
821.702479
140.215937
Horovod CANDLE NT3 Benchmark 1.0; ANL Theta; 16 Processors; 1.301 GHz; nt3-hybrid-opt.py; learning rate=0.001, batch size=30.0, epochs=16.0
119758
813.844666
140.989558
Horovod CANDLE NT3 Benchmark 1.0; ANL Theta; 24 Processors; 1.301 GHz; nt3-hybrid-opt.py; learning rate=0.001, batch size=30.0, epochs=24.0
119759
838.553849
140.709178
Horovod CANDLE NT3 Benchmark 1.0; ANL Theta; 32 Processors; 1.301 GHz; nt3-hybrid-opt.py; learning rate=0.001, batch size=30.0, epochs=32.0
119760
820.04056
146.664229
Horovod CANDLE NT3 Benchmark 1.0; ANL Theta; 48 Processors; 1.301 GHz; nt3-hybrid-opt.py; learning rate=0.001, batch size=30.0, epochs=48.0
119761
849.837545
134.661376
Horovod CANDLE NT3 Benchmark 1.0; ANL Theta; 64 Processors; 1.301 GHz; nt3-hybrid-opt.py; learning rate=0.001, batch size=30.0, epochs=64.0
119762
828.000563
134.264174
Horovod CANDLE NT3 Benchmark 1.0; ANL Theta; 96 Processors; 1.301 GHz; nt3-hybrid-opt.py; learning rate=0.001, batch size=30.0, epochs=96.0
119763
861.935812
144.17913
Horovod CANDLE NT3 Benchmark 1.0; ANL Theta; 128 Processors; 1.301 GHz; nt3-hybrid-opt.py; learning rate=0.001, batch size=30.0, epochs=128.0
119764
842.871352
138.854772
Horovod CANDLE NT3 Benchmark 1.0; ANL Theta; 192 Processors; 1.301 GHz; nt3-hybrid-opt.py; learning rate=0.001, batch size=30.0, epochs=192.0
119765
892.14626
142.232493
Horovod CANDLE NT3 Benchmark 1.0; ANL Theta; 384 Processors; 1.301 GHz; nt3-hybrid-opt.py; learning rate=0.001, batch size=30.0, epochs=384.0
119766
928.581037
134.156926
Horovod CANDLE NT3 Benchmark 1.0; ANL Theta; 1 Processors; 1.301 GHz; nt3-hybrid-opt.py; learning rate=0.001, batch size=40.0, epochs=1.0
119767
Lowest Energy
728.032388
137.95261
Horovod CANDLE NT3 Benchmark 1.0; ANL Theta; 2 Processors; 1.301 GHz; nt3-hybrid-opt.py; learning rate=0.001, batch size=40.0, epochs=2.0
119768
744.032243
139.679435
Horovod CANDLE NT3 Benchmark 1.0; ANL Theta; 4 Processors; 1.301 GHz; nt3-hybrid-opt.py; learning rate=0.001, batch size=40.0, epochs=4.0
119769
759.532224
140.123107
Horovod CANDLE NT3 Benchmark 1.0; ANL Theta; 6 Processors; 1.301 GHz; nt3-hybrid-opt.py; learning rate=0.001, batch size=40.0, epochs=6.0
119770
894.679427
141.459777
Horovod CANDLE NT3 Benchmark 1.0; ANL Theta; 8 Processors; 1.301 GHz; nt3-hybrid-opt.py; learning rate=0.001, batch size=40.0, epochs=8.0
119771
776.920341
146.530547
Horovod CANDLE NT3 Benchmark 1.0; ANL Theta; 12 Processors; 1.301 GHz; nt3-hybrid-opt.py; learning rate=0.001, batch size=40.0, epochs=12.0
119772
797.768122
135.272386
Horovod CANDLE NT3 Benchmark 1.0; ANL Theta; 16 Processors; 1.301 GHz; nt3-hybrid-opt.py; learning rate=0.001, batch size=40.0, epochs=16.0
119773
779.715671
139.303011
Horovod CANDLE NT3 Benchmark 1.0; ANL Theta; 24 Processors; 1.301 GHz; nt3-hybrid-opt.py; learning rate=0.001, batch size=40.0, epochs=24.0
119774
806.307479
135.44052
Horovod CANDLE NT3 Benchmark 1.0; ANL Theta; 32 Processors; 1.301 GHz; nt3-hybrid-opt.py; learning rate=0.001, batch size=40.0, epochs=32.0
119775
800.322818
136.812617
Horovod CANDLE NT3 Benchmark 1.0; ANL Theta; 48 Processors; 1.301 GHz; nt3-hybrid-opt.py; learning rate=0.001, batch size=40.0, epochs=48.0
119776
818.398393
141.230299
Horovod CANDLE NT3 Benchmark 1.0; ANL Theta; 64 Processors; 1.301 GHz; nt3-hybrid-opt.py; learning rate=0.001, batch size=40.0, epochs=64.0
119777
799.133383
142.527205
Horovod CANDLE NT3 Benchmark 1.0; ANL Theta; 96 Processors; 1.301 GHz; nt3-hybrid-opt.py; learning rate=0.001, batch size=40.0, epochs=96.0
119778
832.663874
139.94841
Horovod CANDLE NT3 Benchmark 1.0; ANL Theta; 128 Processors; 1.301 GHz; nt3-hybrid-opt.py; learning rate=0.001, batch size=40.0, epochs=128.0
119779
818.824597
136.518315
Horovod CANDLE NT3 Benchmark 1.0; ANL Theta; 192 Processors; 1.301 GHz; nt3-hybrid-opt.py; learning rate=0.001, batch size=40.0, epochs=192.0
119780
854.40402
141.019253
Horovod CANDLE NT3 Benchmark 1.0; ANL Theta; 384 Processors; 1.301 GHz; nt3-hybrid-opt.py; learning rate=0.001, batch size=40.0, epochs=384.0
119781
898.51404
140.827298
Horovod CANDLE NT3 Benchmark 1.0; ANL Theta; 1 Processors; 1.301 GHz; nt3-hybrid-opt.py; learning rate=0.001, batch size=50.0, epochs=1.0
119782
732.393977
141.183618
Horovod CANDLE NT3 Benchmark 1.0; ANL Theta; 2 Processors; 1.301 GHz; nt3-hybrid-opt.py; learning rate=0.001, batch size=50.0, epochs=2.0
119783
738.844601
147.410014
Horovod CANDLE NT3 Benchmark 1.0; ANL Theta; 4 Processors; 1.301 GHz; nt3-hybrid-opt.py; learning rate=0.001, batch size=50.0, epochs=4.0
119784
747.058281
141.987282
Horovod CANDLE NT3 Benchmark 1.0; ANL Theta; 6 Processors; 1.301 GHz; nt3-hybrid-opt.py; learning rate=0.001, batch size=50.0, epochs=6.0
119785
765.361388
146.50098
Horovod CANDLE NT3 Benchmark 1.0; ANL Theta; 8 Processors; 1.301 GHz; nt3-hybrid-opt.py; learning rate=0.001, batch size=50.0, epochs=8.0
119786
767.06919
141.435179
Horovod CANDLE NT3 Benchmark 1.0; ANL Theta; 12 Processors; 1.301 GHz; nt3-hybrid-opt.py; learning rate=0.001, batch size=50.0, epochs=12.0
119787
785.965823
137.652036
Horovod CANDLE NT3 Benchmark 1.0; ANL Theta; 16 Processors; 1.301 GHz; nt3-hybrid-opt.py; learning rate=0.001, batch size=50.0, epochs=16.0
119788
780.51437
141.471191
Horovod CANDLE NT3 Benchmark 1.0; ANL Theta; 24 Processors; 1.301 GHz; nt3-hybrid-opt.py; learning rate=0.001, batch size=50.0, epochs=24.0
119789
804.923869
136.67205
Horovod CANDLE NT3 Benchmark 1.0; ANL Theta; 32 Processors; 1.301 GHz; nt3-hybrid-opt.py; learning rate=0.001, batch size=50.0, epochs=32.0
119790
788.002097
149.461002
Horovod CANDLE NT3 Benchmark 1.0; ANL Theta; 48 Processors; 1.301 GHz; nt3-hybrid-opt.py; learning rate=0.001, batch size=50.0, epochs=48.0
119791
819.29973
138.989018
Horovod CANDLE NT3 Benchmark 1.0; ANL Theta; 96 Processors; 1.301 GHz; nt3-hybrid-opt.py; learning rate=0.001, batch size=50.0, epochs=96.0
119793
833.260675
141.036571
Horovod CANDLE NT3 Benchmark 1.0; ANL Theta; 128 Processors; 1.301 GHz; nt3-hybrid-opt.py; learning rate=0.001, batch size=50.0, epochs=128.0
119794
816.191011
137.763303
Horovod CANDLE NT3 Benchmark 1.0; ANL Theta; 192 Processors; 1.301 GHz; nt3-hybrid-opt.py; learning rate=0.001, batch size=50.0, epochs=192.0
119795
850.176452
134.944803
Horovod CANDLE NT3 Benchmark 1.0; ANL Theta; 384 Processors; 1.301 GHz; nt3-hybrid-opt.py; learning rate=0.001, batch size=50.0, epochs=384.0
119796
896.295464
144.953553
Horovod CANDLE NT3 Benchmark 1.0; ANL Theta; 1 Processors; 1.301 GHz; nt3-hybrid-opt.py; learning rate=0.001, batch size=60.0, epochs=1.0
119797
720.838317
145.714979
Horovod CANDLE NT3 Benchmark 1.0; ANL Theta; 2 Processors; 1.301 GHz; nt3-hybrid-opt.py; learning rate=0.001, batch size=60.0, epochs=2.0
119798
732.004933
147.017747
Horovod CANDLE NT3 Benchmark 1.0; ANL Theta; 4 Processors; 1.301 GHz; nt3-hybrid-opt.py; learning rate=0.001, batch size=60.0, epochs=4.0
119799
739.110232
147.544655
Horovod CANDLE NT3 Benchmark 1.0; ANL Theta; 6 Processors; 1.301 GHz; nt3-hybrid-opt.py; learning rate=0.001, batch size=60.0, epochs=6.0
119800
752.757468
141.796149
Horovod CANDLE NT3 Benchmark 1.0; ANL Theta; 8 Processors; 1.301 GHz; nt3-hybrid-opt.py; learning rate=0.001, batch size=60.0, epochs=8.0
119801
756.648517
149.838838
Horovod CANDLE NT3 Benchmark 1.0; ANL Theta; 12 Processors; 1.301 GHz; nt3-hybrid-opt.py; learning rate=0.001, batch size=60.0, epochs=12.0
119802
768.946479
140.156047
Horovod CANDLE NT3 Benchmark 1.0; ANL Theta; 16 Processors; 1.301 GHz; nt3-hybrid-opt.py; learning rate=0.001, batch size=60.0, epochs=16.0
119803
761.781477
143.537705
Horovod CANDLE NT3 Benchmark 1.0; ANL Theta; 24 Processors; 1.301 GHz; nt3-hybrid-opt.py; learning rate=0.001, batch size=60.0, epochs=24.0
119804
786.830173
134.162008
Horovod CANDLE NT3 Benchmark 1.0; ANL Theta; 32 Processors; 1.301 GHz; nt3-hybrid-opt.py; learning rate=0.001, batch size=60.0, epochs=32.0
119805
773.873005
144.247902
Horovod CANDLE NT3 Benchmark 1.0; ANL Theta; 48 Processors; 1.301 GHz; nt3-hybrid-opt.py; learning rate=0.001, batch size=60.0, epochs=48.0
119806
802.839766
140.332296
Horovod CANDLE NT3 Benchmark 1.0; ANL Theta; 64 Processors; 1.301 GHz; nt3-hybrid-opt.py; learning rate=0.001, batch size=60.0, epochs=64.0
119807
782.615928
140.432674
Horovod CANDLE NT3 Benchmark 1.0; ANL Theta; 96 Processors; 1.301 GHz; nt3-hybrid-opt.py; learning rate=0.001, batch size=60.0, epochs=96.0
119808
812.753364
142.060848
Horovod CANDLE NT3 Benchmark 1.0; ANL Theta; 128 Processors; 1.301 GHz; nt3-hybrid-opt.py; learning rate=0.001, batch size=60.0, epochs=128.0
119809
815.371706
139.2457
Horovod CANDLE NT3 Benchmark 1.0; ANL Theta; 192 Processors; 1.301 GHz; nt3-hybrid-opt.py; learning rate=0.001, batch size=60.0, epochs=192.0
119810
844.155617
136.040213
Horovod CANDLE NT3 Benchmark 1.0; ANL Theta; 384 Processors; 1.301 GHz; nt3-hybrid-opt.py; learning rate=0.001, batch size=60.0, epochs=384.0
119811
879.930071
136.184888
Horovod CANDLE NT3 Benchmark 1.0; ANL Theta; 1 Processors; 1.301 GHz; nt3-hybrid-opt.py; learning rate=0.001, batch size=70.0, epochs=1.0
119812
Lowest Runtime
715.575325
146.943396
Horovod CANDLE NT3 Benchmark 1.0; ANL Theta; 2 Processors; 1.301 GHz; nt3-hybrid-opt.py; learning rate=0.001, batch size=70.0, epochs=2.0
119813
725.597
144.831724
Horovod CANDLE NT3 Benchmark 1.0; ANL Theta; 4 Processors; 1.301 GHz; nt3-hybrid-opt.py; learning rate=0.001, batch size=70.0, epochs=4.0
119814
730.052721
142.611225
Horovod CANDLE NT3 Benchmark 1.0; ANL Theta; 6 Processors; 1.301 GHz; nt3-hybrid-opt.py; learning rate=0.001, batch size=70.0, epochs=6.0
119815
744.273699
150.361745
Horovod CANDLE NT3 Benchmark 1.0; ANL Theta; 8 Processors; 1.301 GHz; nt3-hybrid-opt.py; learning rate=0.001, batch size=70.0, epochs=8.0
119816
745.644871
138.947721
Horovod CANDLE NT3 Benchmark 1.0; ANL Theta; 12 Processors; 1.301 GHz; nt3-hybrid-opt.py; learning rate=0.001, batch size=70.0, epochs=12.0
119817
762.854284
140.004587
Horovod CANDLE NT3 Benchmark 1.0; ANL Theta; 16 Processors; 1.301 GHz; nt3-hybrid-opt.py; learning rate=0.001, batch size=70.0, epochs=16.0
119818
754.139201
141.854305
Horovod CANDLE NT3 Benchmark 1.0; ANL Theta; 24 Processors; 1.301 GHz; nt3-hybrid-opt.py; learning rate=0.001, batch size=70.0, epochs=24.0
119819
812.416547
137.420664
Horovod CANDLE NT3 Benchmark 1.0; ANL Theta; 32 Processors; 1.301 GHz; nt3-hybrid-opt.py; learning rate=0.001, batch size=70.0, epochs=32.0
119820
766.397826
134.342243
Horovod CANDLE NT3 Benchmark 1.0; ANL Theta; 48 Processors; 1.301 GHz; nt3-hybrid-opt.py; learning rate=0.001, batch size=70.0, epochs=48.0
119821
799.281593
145.377736
Horovod CANDLE NT3 Benchmark 1.0; ANL Theta; 96 Processors; 1.301 GHz; nt3-hybrid-opt.py; learning rate=0.001, batch size=70.0, epochs=96.0
119823
809.263245
134.949969
Horovod CANDLE NT3 Benchmark 1.0; ANL Theta; 128 Processors; 1.301 GHz; nt3-hybrid-opt.py; learning rate=0.001, batch size=70.0, epochs=128.0
119824
792.093006
136.466877
Horovod CANDLE NT3 Benchmark 1.0; ANL Theta; 192 Processors; 1.301 GHz; nt3-hybrid-opt.py; learning rate=0.001, batch size=70.0, epochs=192.0
119825
830.087463
137.118001
Horovod CANDLE NT3 Benchmark 1.0; ANL Theta; 384 Processors; 1.301 GHz; nt3-hybrid-opt.py; learning rate=0.001, batch size=70.0, epochs=384.0
119826
864.783428
138.822441