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from typing import List
from dashboards.dashboard_base import (DashboardOptions,
build_row_repeat_dashboard,
get_dashboard_variable_query)
from dashboards.influx_queries import Query, join_variable_and, show_tag_values
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)