def ConfigureRunningEnv(num_process, size_tile_cache):
"""Configures the running environment.
Optimal performance is obtained by increasing the number of process
and a geo cache big enough to avoid swapping. Each tile covers about
100kmx100km. Swapping statistics can be obtaines using the routine:
`CheckTerrainTileCacheOk()`.
Args:
num_process: Number of process. Special values: -1: #cpu/2 ; -2: #cpu-1
size_tile_cache: Geo cache size in number of tiles. The memory usage is
about: `num_process * size_tile_cache * 60 MB`
"""
# Configure the global pool of processes
mpool.Configure(num_process)
# Configure the geo drivers to avoid swap
# - for main process
drive.ConfigureTerrainDriver(cache_size=size_tile_cache)
drive.ConfigureNlcdDriver(cache_size=size_tile_cache)
# - for worker processes
mpool.RunOnEachWorkerProcess(drive.ConfigureTerrainDriver,
terrain_dir=None,
cache_size=size_tile_cache)
mpool.RunOnEachWorkerProcess(drive.ConfigureNlcdDriver,
nlcd_dir=None,
cache_size=size_tile_cache)
return mpool.GetNumWorkerProcesses()
# Configure geo drivers
logging.info('Configure geo drivers')
(num_tiles_master_ned, num_tiles_worker_ned, num_tiles_master_nlcd,
num_tiles_worker_nlcd) = GetGeoCacheSize(num_workers)
if num_tiles_master_ned < 16:
logging.warning('Required geo cache size %d (for master) is low'
'- too few memory or too many workers' %
num_tiles_master_ned)
logging.info(' ... NED: cache size: %d per master, %d for workers' %
(num_tiles_master_ned, num_tiles_worker_ned))
logging.info(' ... NLCD: cache size: %d per master, %d for workers' %
(num_tiles_master_ned, num_tiles_worker_ned))
# - for main process
drive.ConfigureTerrainDriver(cache_size=num_tiles_master_ned)
drive.ConfigureNlcdDriver(cache_size=num_tiles_master_nlcd)
# - for worker processes
mpool.RunOnEachWorkerProcess(drive.ConfigureTerrainDriver,
terrain_dir=None,
cache_size=num_tiles_worker_ned)
mpool.RunOnEachWorkerProcess(drive.ConfigureNlcdDriver,
nlcd_dir=None,
cache_size=num_tiles_worker_nlcd)
#run
client = cbsd_sas.client()
#Authenticate
client.server._sas_admin.Reset()
# + Number of parallel processes -
# do not exceed your workstation parallel capabilities (number of core minus 2)
# Auto mode: -1 => will derive a proper setup as 50% of your workstation capabilities
num_processes = -1
# + Number of cached tiles (per process)
num_cached_tiles = 32
# - Internal parameters
num_montecarlo_iter = 2000
fmin, fmax = 3560, 3570
ratio_cat_a_outdoor = 1.0 - ratio_cat_b - ratio_cat_a_indoor
#----------------------------------------
# Configure the geo drivers to avoid swap
drive.ConfigureTerrainDriver(cache_size=num_cached_tiles)
drive.ConfigureNlcdDriver(cache_size=num_cached_tiles)
#----------------------------------------
# Preparing all simulation parameters
def PrepareSimulation():
# Read the DPA zone
print 'Preparing Zones'
dpa_zone = zones.GetCoastalDpaZones()[dpa_name]
dpa_geometry = dpa_zone.geometry
us_border = zones.GetUsBorder()
urban_areas = zones.GetUrbanAreas() if do_inside_urban_area else None
protection_zone = zones.GetCoastalProtectionZone()
# Distribute random CBSD of various types around the FSS.
print 'Distributing random CBSDs in DPA neighborhood'