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Application
mpi.npb-mz 3.3
System
SDSC DataStar p655
TAMU Hydra
Processors
8 Processors
16 Processors
32 Processors
64 Processors
128 Processors
256 Processors
512 Processors
1024 Processors
Input
Class D=1632.0
Frequency
Executable
bt-mz.D.1024
bt-mz.D.128
bt-mz.D.16
bt-mz.D.256
bt-mz.D.32
bt-mz.D.512
bt-mz.D.64
bt-mz.D.8
lu-mz.D.16
lu-mz.D.8
sp-mz.D.1024
sp-mz.D.128
sp-mz.D.16
sp-mz.D.256
sp-mz.D.32
sp-mz.D.512
sp-mz.D.64
sp-mz.D.8
mpi.npb-mz 3.3; Class D=1632.0
Download CSV
Scatter-Plot
Application-level Performance
100s
300w
mpi.npb-mz 3.3; SDSC DataStar p655; 8 Processors; bt-mz.D.8; Class D=1632.0
106805
Lowest Power
Lowest Energy
9120.09
mpi.npb-mz 3.3; TAMU Hydra; 8 Processors; bt-mz.D.8; Class D=1632.0
106806
8413.51
mpi.npb-mz 3.3; SDSC DataStar p655; 16 Processors; bt-mz.D.16; Class D=1632.0
106807
4674.1
mpi.npb-mz 3.3; TAMU Hydra; 16 Processors; bt-mz.D.16; Class D=1632.0
106808
4217.35
mpi.npb-mz 3.3; SDSC DataStar p655; 32 Processors; bt-mz.D.32; Class D=1632.0
106809
2627.06
mpi.npb-mz 3.3; TAMU Hydra; 32 Processors; bt-mz.D.32; Class D=1632.0
106810
2399.75
mpi.npb-mz 3.3; SDSC DataStar p655; 64 Processors; bt-mz.D.64; Class D=1632.0
106811
1337.17
mpi.npb-mz 3.3; TAMU Hydra; 64 Processors; bt-mz.D.64; Class D=1632.0
106812
1070.64
mpi.npb-mz 3.3; SDSC DataStar p655; 128 Processors; bt-mz.D.128; Class D=1632.0
106813
688.42
mpi.npb-mz 3.3; TAMU Hydra; 128 Processors; bt-mz.D.128; Class D=1632.0
106814
544.73
mpi.npb-mz 3.3; SDSC DataStar p655; 256 Processors; bt-mz.D.256; Class D=1632.0
106815
392.34
mpi.npb-mz 3.3; SDSC DataStar p655; 512 Processors; bt-mz.D.512; Class D=1632.0
106816
334.68
mpi.npb-mz 3.3; SDSC DataStar p655; 1024 Processors; bt-mz.D.1024; Class D=1632.0
106817
334.55
mpi.npb-mz 3.3; SDSC DataStar p655; 8 Processors; sp-mz.D.8; Class D=1632.0
106818
9392.26
mpi.npb-mz 3.3; TAMU Hydra; 8 Processors; sp-mz.D.8; Class D=1632.0
106819
8278.24
mpi.npb-mz 3.3; SDSC DataStar p655; 16 Processors; sp-mz.D.16; Class D=1632.0
106820
4570.03
mpi.npb-mz 3.3; SDSC DataStar p655; 32 Processors; sp-mz.D.32; Class D=1632.0
106822
2262.49
mpi.npb-mz 3.3; TAMU Hydra; 32 Processors; sp-mz.D.32; Class D=1632.0
106823
1871.73
mpi.npb-mz 3.3; SDSC DataStar p655; 64 Processors; sp-mz.D.64; Class D=1632.0
106824
1139.11
mpi.npb-mz 3.3; TAMU Hydra; 64 Processors; sp-mz.D.64; Class D=1632.0
106825
939.62
mpi.npb-mz 3.3; SDSC DataStar p655; 128 Processors; sp-mz.D.128; Class D=1632.0
106826
573.58
mpi.npb-mz 3.3; TAMU Hydra; 128 Processors; sp-mz.D.128; Class D=1632.0
106827
533.51
mpi.npb-mz 3.3; SDSC DataStar p655; 256 Processors; sp-mz.D.256; Class D=1632.0
106828
396.77
mpi.npb-mz 3.3; SDSC DataStar p655; 512 Processors; sp-mz.D.512; Class D=1632.0
106829
190.23
mpi.npb-mz 3.3; SDSC DataStar p655; 1024 Processors; sp-mz.D.1024; Class D=1632.0
106830
Lowest Runtime
74.36
mpi.npb-mz 3.3; SDSC DataStar p655; 8 Processors; lu-mz.D.8; Class D=1632.0
106831
12549.21
mpi.npb-mz 3.3; TAMU Hydra; 8 Processors; lu-mz.D.8; Class D=1632.0
106832
10782.45
mpi.npb-mz 3.3; SDSC DataStar p655; 16 Processors; lu-mz.D.16; Class D=1632.0
106833
6563.82
mpi.npb-mz 3.3; TAMU Hydra; 16 Processors; lu-mz.D.16; Class D=1632.0
106834
5987.29
mpi.npb-mz 3.3; TAMU Hydra; 16 Processors; sp-mz.D.16; Class D=1632.0
107021
4368.73