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]