Ejemplo n.º 1
0
def get_batch_stat (path, numSim):

  pkt_lat_tot_avg_array = []
  pkt_lat_tot_max_array = []
  pkt_lat_net_avg_array = []
  pkt_lat_net_max_array = []
  throughput_array = []
  deflect_array = []
  for sim_index in range(1, numSim+1, 1):
    input_file = path + "sim_" + str(sim_index) + ".out"
    exist = os.path.exists(input_file)
    if (exist is False):
      print "Fail to find " + str (sim_index) + ".out or its counterpart."
      continue

    stat = get.get_stat (input_file)
    [pkt_lat_tot_avg, pkt_lat_tot_max] = get.get_pkt_lat_tot (stat)
    pkt_lat_tot_avg_array.append(pkt_lat_tot_avg)
    pkt_lat_tot_max_array.append(pkt_lat_tot_max)
    [pkt_lat_net_avg, pkt_lat_net_max] = get.get_pkt_lat_net (stat)
    pkt_lat_net_avg_array.append(pkt_lat_net_avg)
    pkt_lat_net_max_array.append(pkt_lat_net_max)
    throughput = get.get_throughput(stat)
    throughput_array.append(throughput)
    deflect = get.get_deflect(stat)
    deflect_array.append(deflect)
  return pkt_lat_tot_avg_array, pkt_lat_net_avg_array, throughput_array, deflect_array
Ejemplo n.º 2
0
for dir in os.listdir (target_dir):
  if dir == ".DS_Store":
    continue
  num_sim_file = 0 # number of workloads get simulated in each folder
  _ws_per_workload = [0] * NUM_WORKLOAD
  _hs_per_workload = [0] * NUM_WORKLOAD
  _uf_per_workload = [0] * NUM_WORKLOAD
  for sim_index in range (1, NUM_WORKLOAD+1, 1):
    sim_file = target_dir + dir + "/sim_" + str(sim_index) + ".out"
    if os.path.isfile (sim_file) is False:
      print "The file " + sim_file + " doesn't exist."
      continue

    # read in the referenced IPC
    ipc_alone = get.get_ipc_alone (workload_dir, sim_index)
    stat_share_design = get.get_stat (sim_file)
    ipc_share_design = get.get_ipc_share (stat_share_design)
    (ws_design, hs_design, uf_design) = get.cmp_metric (ipc_alone, ipc_share_design)
    _ws_per_workload [num_sim_file] = ws_design
    _hs_per_workload [num_sim_file] = hs_design
    _uf_per_workload [num_sim_file] = uf_design

    num_sim_file = num_sim_file + 1
    total_num = total_num + 1
  ws_plt = ws_plt + [get.cmp_geo_avg (_ws_per_workload)]
  hs_plt = hs_plt + [get.cmp_geo_avg (_hs_per_workload)]
  uf_plt = uf_plt + [get.cmp_geo_avg (_uf_per_workload)]
  para_value_plt = para_value_plt + [dir]
  num_value = num_value + 1 # increase the number of value being swept

print "number of value : " + str (num_value)
Ejemplo n.º 3
0
import fnmatch
import string
import compute
import get


dir_0 = "../preliminary/synthSweep/uc/"
pkt_lat_tot_avg_array = []
pkt_lat_tot_max_array = []
for sim_index in range(1, 21, 1):
  input_file = dir_0 + "sim_" + str(sim_index) + ".out"
  exist = os.path.exists(input_file)
  if (exist is False):
    print "Fail to find " + str (sim_index) + ".out or its counterpart."
    continue
  stat = get.get_stat (input_file)
  [pkt_lat_tot_avg, pkt_lat_tot_max] = get.get_pkt_lat_tot (stat)
  pkt_lat_tot_avg_array.append(pkt_lat_tot_avg)
  pkt_lat_tot_max_array.append(pkt_lat_tot_max)

print  "-------Packet Total Latency --------"
print "injRate latAvg latMax"
inj_rate = 0
for lat_avg, lat_max in zip(pkt_lat_tot_avg_array, pkt_lat_tot_max_array):
  inj_rate = inj_rate + 0.02
  print inj_rate, lat_avg, lat_max

print  "-------Packet Network Latency --------"

pkt_lat_tot_avg_array = []
pkt_lat_tot_max_array = []
Ejemplo n.º 4
0
hs_norm_raw = []
uf_norm_raw = []
max_ws = 0
max_hs = 0
min_uf = 100
l1miss_aggr = 0
num_sim = 0

for index in range (1, NUM_SIM+1):
  ipc_alone = get.get_ipc_alone (PATH_WORKLOAD, index)
  design_file = PATH_DESIGN + "sim_" + str(index) + ".out"
  baseline_file = PATH_BASELINE + "sim_" + str(index) + ".out"
  if os.path.isfile (design_file) is False or os.path.isfile (baseline_file) is False:
    print "The file doesn't exist."
    continue
  stat_share_design = get.get_stat (design_file)
  stat_share_baseline = get.get_stat (baseline_file)
  ipc_share_design = get.get_ipc_share (stat_share_design)
  ipc_share_baseline = get.get_ipc_share (stat_share_baseline)
  # normalized to the baseline design
  (ws_design, hs_design, uf_design, uf_baseline) = get.cmp_metric_bs (ipc_alone, ipc_share_baseline, ipc_share_design)
  ws_norm = ws_norm + ws_design/NODE
  hs_norm = hs_norm + hs_design
  uf_norm = uf_norm + float(uf_design)/uf_baseline
  ws_norm_raw = ws_norm_raw + [ws_design/NODE]
  hs_norm_raw = hs_norm_raw + [hs_design]
  uf_norm_raw = uf_norm_raw + [float(uf_design)/uf_baseline]
  num_sim = num_sim + 1
  if (ws_design/NODE > max_ws): max_ws = ws_design/NODE
  if (hs_design > max_hs):  max_hs = hs_design
  if (float(uf_design)/uf_baseline < min_uf): min_uf = float(uf_design)/uf_baseline
Ejemplo n.º 5
0
sum_ws = 0
sum_hs = 0
sum_uf = 0
eff_count = 0
ipc_alone = [2.08, 2.16, 1.77, 1.91, 2.08, 2.16, 1.77, 1.91, 2.08, 2.16, 1.77, 1.91, 2.08, 2.16, 1.77, 1.91, 2.08, 2.16, 1.77, 1.91, 2.08, 2.16, 1.77, 1.91, 2.08, 2.16, 1.77, 1.91, 2.08, 2.16, 1.77, 1.91, 2.08, 2.16, 1.77, 1.91, 2.08, 2.16, 1.77, 1.91, 2.08, 2.16, 1.77, 1.91, 2.08, 2.16, 1.77, 1.91, 2.08, 2.16, 1.77, 1.91, 2.08, 2.16, 1.77, 1.91, 2.08, 2.16, 1.77, 1.91, 2.08, 2.16, 1.77, 1.91]

for sim_index in range(1, 27, 1):
  input_file_alone = dir_alone + "sim_" + str(sim_index) + ".out"
  input_file_share = dir_share + "sim_" + str(sim_index) + ".out"
  exist_alone = os.path.exists(input_file_alone)
  exist_share = os.path.exists(input_file_share)
  if (exist_alone is False or exist_share is False):
    print "Fail to find " + str (sim_index) + ".out or its counterpart."
    continue
  #print input_file_alone + " v.s. " + input_file_share
  stat_alone = get.get_stat (input_file_alone)
  stat_share = get.get_stat (input_file_share)
  insns_alone = get.get_insns_persrc (stat_alone)
  insns_share = get.get_insns_persrc (stat_share)
  act_t_alone = get.get_active_cycles (stat_alone)
  act_t_share = get.get_active_cycles (stat_share)
  #ipc_alone = compute.cmp_ipc (insns_alone, act_t_alone)
  
  ipc_share = compute.cmp_ipc (insns_share, act_t_share)
  ws = compute.cmp_ws (ipc_alone, ipc_share)
  hs = compute.cmp_hs (ipc_alone, ipc_share)
  uf = compute.cmp_uf (ipc_alone, ipc_share)
  eff_count = eff_count + 1
  sum_ws = sum_ws + ws
  sum_hs = sum_hs + hs
  sum_uf = sum_uf + uf