nobjects = 1500*nss
packname = '1a_objects.pack'
numoh = 2
cc = ClusterConfig()
cs = ClusterSimSettings(cc, nss, (nss,1), numoh)
cs.region_weight_options = '--flatness=8'
cs.debug = True
cs.valgrind = False
cs.profile = False
cs.oprofile = False
cs.loglevels["oh"]="insane";
cs.loc = 'standard'
cs.blocksize = 110
cs.tx_bandwidth = 50000000
cs.rx_bandwidth = 5000000
cs.oseg_cache_size=65536;
cs.oseg_cache_clean_group=25;
cs.oseg_cache_entry_lifetime= "1000s"
# Use pack across multiple ohs
cs.num_random_objects = 0
cs.num_pack_objects = nobjects / cs.num_oh
cs.object_pack = packname
cs.pack_dump = True
cs.object_connect_phase = '20s'
cs.object_static = 'static'
rate = self._last_rate
cluster_sim = self._setup_cluster_sim(rate, io)
run_bandwidth_analysis(cluster_sim,
get_histogram_file_name(rate)
)
if __name__ == "__main__":
cc = ClusterConfig()
cs = ClusterSimSettings(cc, 4, (4,1), 1)
cs.debug = False
cs.valgrind = False
cs.profile = True
cs.loc = 'standard'
cs.blocksize = 100
cs.tx_bandwidth = 500000
cs.rx_bandwidth = 500000
cs.num_random_objects = 50
cs.num_pack_objects = 0
cs.object_connect_phase = '0s'
cs.object_static = 'static'
cs.object_query_frac = 0.0
cs.oseg_cache_entry_lifetime = '300s'
cs.duration = '100s'
rates = sys.argv[1:]
nobjects = 1500 * nss
packname = '1a_objects.pack'
numoh = 2
cc = ClusterConfig()
cs = ClusterSimSettings(cc, nss, (nss, 1), numoh)
cs.region_weight_options = '--flatness=8'
cs.debug = True
cs.valgrind = False
cs.profile = False
cs.oprofile = False
cs.loglevels["oh"] = "insane"
cs.loc = 'standard'
cs.blocksize = 110
cs.tx_bandwidth = 50000000
cs.rx_bandwidth = 5000000
cs.oseg_cache_size = 65536
cs.oseg_cache_clean_group = 25
cs.oseg_cache_entry_lifetime = "1000s"
cs.oseg_lookup_queue_size = 50
#for now
# Use pack across multiple ohs
cs.num_random_objects = 0
cs.num_pack_objects = nobjects / cs.num_oh
cs.object_pack = packname
cs.pack_dump = True
x for x in samples_files
if os.path.exists(x[0]) and os.path.exists(x[1])
]
graph_stages_raw_samples(samples_files)
if __name__ == "__main__":
cc = ClusterConfig()
cs = ClusterSimSettings(cc, 4, (4, 1), 1)
cs.debug = False
cs.valgrind = False
cs.profile = True
cs.loc = 'standard'
cs.blocksize = 100
cs.tx_bandwidth = 500000
cs.rx_bandwidth = 500000
cs.num_random_objects = 50
cs.num_pack_objects = 0
cs.object_connect_phase = '0s'
cs.object_static = 'static'
cs.object_query_frac = 0.0
cs.duration = '100s'
rates = sys.argv[1:]
plan = PacketLatencyByLoad(cc,
cs,
cc = ClusterConfig()
import math;
edgex=int(math.sqrt(nss))
edgey=int(nss/int(math.sqrt(nss)))
cs = ClusterSimSettings(cc, nss, (edgex,edgey), numoh)
cs.region_weight_options = '--flatness=8'
cs.debug = True
cs.valgrind = False
cs.profile = False
cs.oprofile = False
cs.loglevels["oh"]="insane";
cs.loc = 'standard'
cs.blocksize = 256
cs.tx_bandwidth = 50000000
cs.rx_bandwidth = 5000000
cs.oseg_cache_clean_group=25;
cs.oseg_cache_entry_lifetime= "10000s"
## Use pack across multiple ohs
#cs.num_random_objects = 0
#cs.num_pack_objects = nobjects / cs.num_oh
#cs.object_pack = packname
#cs.pack_dump = True
cs.num_random_objects = 0
cs.object_sl_file='sl.trace.'+str(edgex)+'x'+str(edgey);
cs.object_sl_center=(384,384,0);
cs.object_connect_phase = '20s'
cc = ClusterConfig()
import math
edgex = int(math.sqrt(nss))
edgey = int(nss / int(math.sqrt(nss)))
cs = ClusterSimSettings(cc, nss, (edgex, edgey), numoh)
cs.region_weight_options = '--flatness=8'
cs.debug = True
cs.valgrind = False
cs.profile = False
cs.oprofile = False
cs.loglevels["oh"] = "insane"
cs.loc = 'standard'
cs.blocksize = 256
cs.tx_bandwidth = 50000000
cs.rx_bandwidth = 5000000
cs.oseg_cache_clean_group = 25
cs.oseg_cache_entry_lifetime = "10000s"
## Use pack across multiple ohs
#cs.num_random_objects = 0
#cs.num_pack_objects = nobjects / cs.num_oh
#cs.object_pack = packname
#cs.pack_dump = True
cs.num_random_objects = 0
cs.object_sl_file = 'sl.trace.' + str(edgex) + 'x' + str(edgey)
cs.object_sl_center = (384, 384, 0)
cs.object_connect_phase = '20s'
cs.center = [cs.blocksize * edgex / 2, cs.blocksize * edgey / 2, 0]