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from dashboards.dashboard_base import (DashboardOptions, build_dashboard,
get_dashboard_variable_query,
get_grid_pos, get_stat_panel)
from dashboards.influx_queries import (Query, get_variable_condition,
join_conditions, join_variable_and,
show_tag_values)
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def _uniform_grid(arch: str, group_by: List[str]):
dataSource = 'InfluxDB-1'
measurment_name = f'UniformGrid{arch}'
row_repeat = "collisionSetup"
panel_repeat = "host"
unit = 'MLUPs per Process'
row_repeat_var = get_dashboard_variable_query(row_repeat,
show_tag_values(measurment_name, row_repeat),
dataSource)
panel_repeat_var = get_dashboard_variable_query(panel_repeat,
show_tag_values(measurment_name, panel_repeat),
dataSource)
other_filter = 'cellsPerBlock_0'
cellsPerBlock_var = get_dashboard_variable_query(other_filter,
show_tag_values(measurment_name, other_filter),
dataSource
)
where = join_variable_and([row_repeat, panel_repeat, other_filter])
query = Query(
select_='mlupsPerProcess',
from_=measurment_name,
where_=where,
group_by=group_by
)
options = DashboardOptions(
title=f'Uniform Grid {arch}',
description=f"Benchmark dashboard for the Uniform Grid {arch} Benchmark from walberla",
tags=[
arch,
'benchmark',
'walberla',
'Uniform Grid'
],
timezone="browser",
)
return build_row_repeat_dashboard(options,
row_repeat_var,
panel_repeat_var,
dataSource,
measurment_name,
query,
unit,
[cellsPerBlock_var]
)
def dashboard_uniformGridGPU():
group_by = ["blocks_0",
"blocks_1",
"blocks_2",
"cellsPerBlock_0",
"cellsPerBlock_1",
"cellsPerBlock_2",
"gpuBlockSize_0",
"gpuBlockSize_1",
"gpuBlockSize_2",
"collisionSetup",
"stencil",
"streamingPattern",
]
return _uniform_grid("GPU", group_by)
def dashboard_uniformGridCPU():
group_by = ["blocks_0",
"blocks_1",
"blocks_2",
"cellsPerBlock_0",
"cellsPerBlock_1",
"cellsPerBlock_2",
"periodic_0",
"periodic_1",
"periodic_2",
"collisionSetup",
"mpi_num_processes",
"streamingPattern",
"timeStepStrategy",
"stencil",
]
return _uniform_grid("CPU", group_by)
def dashboard_granular_gas():
dataSource = 'InfluxDB-1'
measurment_name = 'MESA_PD_KernelBenchmark'
row_repeat = "kernel"
panel_repeat = "host"
unit = 'ms'
row_repeat_var = get_dashboard_variable_query(row_repeat,
f"SHOW FIELD KEYS FROM {measurment_name}",
dataSource)
panel_repeat_var = get_dashboard_variable_query(panel_repeat,
show_tag_values(measurment_name, panel_repeat),
dataSource)
query = Query(
select_='$kernel',
from_=measurment_name,
where_=f'"{panel_repeat}" =~ /^${panel_repeat}$/',
group_by=['mpi_num_processes', 'omp_max_threads'])
options = DashboardOptions(
title='Granular Gas Kernel Benchmark',
description="Benchmark dashboard for the Granular Gas Benchmark from walberla",
tags=[
'CPU',
'benchmark',
'walberla',
'Granular Gas'
],
timezone="browser",
)
return build_row_repeat_dashboard(options,
row_repeat_var,
panel_repeat_var,
dataSource,
measurment_name,
query,
unit)
def dashboard_phasefieldallenchan():
dataSource = 'InfluxDB-1'
measurment_name = 'PhaseFieldAllenCahn'
row_repeat = "cellsPerBlock_0"
panel_repeat = "host"
unit = 'MLUPs per Process'
options = DashboardOptions(
title='Phase Field Allen Chan',
description="Benchmark dashboard for the Phasefield Allen Cahn Benchmark from walberla",
tags=[
'CPU',
'benchmark',
'walberla',
'PhaseField Allen Cahn'
],
timezone="browser",
)
row_repeat_var = get_dashboard_variable_query(row_repeat,
show_tag_values(measurment_name, row_repeat),
dataSource)
panel_repeat_var = get_dashboard_variable_query(panel_repeat,
show_tag_values(measurment_name, panel_repeat),
dataSource)
query = Query(
select_='mlupsPerProcess',
from_=measurment_name,
where_=join_variable_and([row_repeat, panel_repeat]),
group_by=[
"blocks_0",
"blocks_1",
"blocks_2",
"cellsPerBlock_0",
"mpi_num_processes",
"host",
"executable",
"timeStepStrategy",
"stencil_phase",
"stencil_hydro"
]
)
return build_row_repeat_dashboard(options,
row_repeat_var,
panel_repeat_var,
dataSource,
measurment_name,
query,
unit)
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def dashboard_phasefieldallenchangpu():
dataSource = 'InfluxDB-1'
measurment_name = 'PhaseFieldAllenCahnGPU'
row_repeat = "cellsPerBlock_0"
panel_repeat = "host"
unit = 'MLUPs per Process'
options = DashboardOptions(
title='Phase Field Allen Chan GPU',
description="Benchmark dashboard for the Phasefield Allen Cahn Benchmark from walberla",
tags=[
'GPU',
'benchmark',
'walberla',
'PhaseField Allen Cahn'
],
timezone="browser",
)
row_repeat_var = get_dashboard_variable_query(row_repeat,
show_tag_values(measurment_name, row_repeat),
dataSource)
panel_repeat_var = get_dashboard_variable_query(panel_repeat,
show_tag_values(measurment_name, panel_repeat),
dataSource)
query = Query(
select_='mlupsPerProcess',
from_=measurment_name,
where_=join_variable_and([row_repeat, panel_repeat]),
group_by=[
"blocks_0",
"blocks_1",
"blocks_2",
"gpuBlockSize_0",
"gpuBlockSize_1",
"gpuBlockSize_2",
"cellsPerBlock_0",
"mpi_num_processes",
"host",
"executable",
"timeStepStrategy",
"stencil_phase",
"stencil_hydro"
]
)
return build_row_repeat_dashboard(options,
row_repeat_var,
panel_repeat_var,
dataSource,
measurment_name,
query,
unit)
def dashboard_general_infos():
dataSource = 'InfluxDB-1'
measurment_name = "JOB_INFOS"
host_var = get_dashboard_variable_query('host',
show_tag_values("", 'host'),
dataSource)
def get_query(name_base: str):
return Query(
select_="duration",
from_=measurment_name,
where_=join_conditions([f'"name" =~ /{name_base}/', f'"name" =~ /${host_var.name}/'],
"AND"),
group_by=[
'name'
]
)
options = DashboardOptions(
title='Overview',
description="General Information about walberla benchmarks",
tags=[
'walberla',
],
timezone="browser",
)
panel_build = get_stat_panel("Build Times",
dataSource,
get_query("build"),
gridPos=get_grid_pos(12, 24, 0, 0),
format='s')
panel_benchmark = get_stat_panel("Benchmark Runtime",
dataSource,
get_query("benchmark"),
gridPos=get_grid_pos(30, 24, 0, 13),
format='s')
return build_dashboard(options, panels=[panel_build, panel_benchmark], templating=[host_var])