def semilogx_om2_speed_per_cpu_by_ncpus(df, marker='+'):
p = ppd.semilogx("om2_ncpus",
"OM2 speed per cpu",
data=df,
xlabel="ACCESS-OM2 number of CPUs",
ylabel="ACCESS-OM2 speed (d/d) per CPU",
marker=marker)
return p
def semilogx_ocean_speed_per_cpu_by_ncpus(df, marker='+'):
p = ppd.semilogx("ocean_ncpus",
"Ocean speed per cpu",
data=df,
xlabel="MOM number of CPUs",
ylabel="MOM speed (d/d) per CPU",
marker=marker)
return p
def semilogx_ice_init_time_by_om2_ncpus(df, marker='+'):
p = ppd.semilogx("om2_ncpus",
"Ice initialization",
data=df,
xlabel="ACCESS-OM2 number of CPUs",
ylabel="CICE initialization time (s)",
marker=marker)
return p
def semilogx_ocean_init_time_by_om2_ncpus(df, marker='+'):
p = ppd.semilogx("om2_ncpus",
"(Ocean initialization)",
data=df,
xlabel="ACCESS-OM2 number of CPUs",
ylabel="MOM Initialization time (s)",
marker=marker)
return p
def semilogx_ice_cpu_time_per_step_by_ncpus(df, marker='+'):
p = ppd.semilogx("ice_ncpus",
"ice_cpu_time per step",
data=df,
xlabel="CICE number of CPUs",
ylabel="CICE CPU time per step (CPU s)",
marker=marker)
return p
def semilogx_ocean_cpu_time_per_step_by_ncpus(df, marker='+'):
p = ppd.semilogx("ocean_ncpus",
"ocean_cpu_time per step",
data=df,
xlabel="MOM number of CPUs",
ylabel="MOM CPU time per step (CPU s)",
marker=marker)
return p
def semilogx_walltime_wait_by_om2_ncpus(df, marker='+'):
p = ppd.semilogx("om2_ncpus",
"wait relative to walltime",
data=df,
xlabel="ACCESS-OM2 number of CPUs",
ylabel="(from_ocn + oasis_recv) / Walltime",
marker=marker)
return p
def semilogx_relative_wait_by_om2_ncpus(df, marker='+'):
p = ppd.semilogx("om2_ncpus",
"relative wait",
data=df,
xlabel="ACCESS-OM2 number of CPUs",
ylabel="(from_ocn + oasis_recv) / (TimeLoop + Ocean)",
marker=marker)
return p
def semilogx_relative_ocean_oasis_recv_by_om2_ncpus(df, marker='+'):
p = ppd.semilogx("om2_ncpus",
"relative ocean_oasis_recv",
data=df,
xlabel="ACCESS-OM2 number of CPUs",
ylabel="MOM oasis_recv / Ocean time",
marker=marker)
return p
def semilogx_relative_ice_from_ocn_by_om2_ncpus(df, marker='+'):
p = ppd.semilogx("om2_ncpus",
"relative ice_from_ocn",
data=df,
xlabel="ACCESS-OM2 number of CPUs",
ylabel="CICE from_ocn / TimeLoop",
marker=marker)
return p
def semilogx_ice_speed_per_cpu_by_ncpus(df, marker='+'):
p = ppd.semilogx("ice_ncpus",
"Ice speed per cpu",
data=df,
xlabel="CICE number of CPUs",
ylabel="CICE speed (d/d) per CPU",
marker=marker)
return p
