results: add script to generate netperf table

results/netperf.py

+from utils.netperf import *
+import sys
+import os.path
+from time import strftime
+from time import gmtime
+
+
+def fmt_lat(lat):
+    if not lat:
+        return ''
+
+    x = float(lat)
+    if x >= 1000.:
+        return '%.1f\\,ms' % (x / 1000)
+    else:
+        return '%d\\,$\\mu$s' % (int(x))
+
+def fmt_tp(tp):
+    if not tp:
+        return ''
+
+    x = float(tp)
+    if x > 1000.:
+        return '%.2f\\,G' % (x / 1000)
+    else:
+        return '%d\\,M' % (int(x))
+
+hosts = [('qemu','QK'), ('qt','QT'), ('gem5','G5')]
+nics = [('i40e','IB'), ('cd_bm','CB'), ('cd_verilator','CV')]
+nets = [('switch','SW'), ('ns3','NS')]
+
+outdir = sys.argv[1]
+
+for (h,h_l) in hosts:
+ for (nic, nic_l) in nics:
+  for (net, net_l) in nets:
+    path = '%s/netperf-%s-%s-%s-1.json' % (outdir, h, net, nic)
+    data = parse_netperf_run(path)
+    if 'simtime' in data:
+        t = strftime("%H:%M:%S", gmtime(data['simtime']))
+    else:
+        t = ''
+
+    tp = fmt_tp(data.get('throughput', ''))
+    latMean = fmt_lat(data.get('latenyMean', ''))
+    latTail = fmt_lat(data.get('latenyTail', ''))
+    print('  %s & %s & %s & %s & %s & %s & %s \\\\' % (h_l, nic_l, net_l,
+        tp, latMean, latTail, t))

results/utils/netperf.py

+import json
+import re
+import os
+
+def parse_netperf_run(path):
+    ret = {}
+
+    if not os.path.exists(path):
+        return ret
+    with open(path, 'r') as f:
+        data = json.load(f)
+
+    ret['simtime'] = data['end_time'] - data['start_time']
+
+    tph_pat = re.compile(r'Size\s*Size\s*Size\s*Time\s*Throughput.*')
+    start = None
+    i = 0
+    lines = data['sims']['host.client.0']['stdout']
+    for l in lines:
+        if tph_pat.match(l):
+            start = i
+            break
+        i += 1
+
+    if start is not None:
+        tp_line = lines[start + 3]
+        tp_pat = re.compile(r'\s*\d*\s*\d*\s*\d*\s*[0-9\.]*\s*([0-9\.]*).*')
+        m = tp_pat.match(tp_line)
+        ret['throughput'] = float(m.group(1))
+
+
+
+    lath_pat = re.compile(r'\s*Mean Latency.*')
+    start = None
+    i = 0
+    lines = data['sims']['host.client.0']['stdout']
+    for l in lines:
+        if lath_pat.match(l):
+            start = i
+            break
+        i += 1
+
+    if start is not None:
+        lat_line = lines[start + 1]
+        lat_pat = re.compile(r'\s*([-0-9\.]*),([-0-9\.]*),([-0-9\.]*),([-0-9\.]*).*')
+        m = lat_pat.match(lat_line)
+        ret['latenyMean'] = float(m.group(1))
+        ret['latenyTail'] = float(m.group(4))
+
+    return ret