1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
|
import config.config as conf
import numpy as np
import os
import re
import shutil as sh
import subprocess
from point import Measurement,Type
FT_SPLIT_NAME = "overhead={}.bin"
FT_SORTED_NAME = "sorted-ft.bin"
FT_ERR_NAME = "err-ft"
def parse_overhead(result, overhead_bin, overhead, cycles, out_dir, err_file):
'''Store statistics for @overhead in @overhead_bin into @result.'''
ovh_fname = "{}/{}".format(out_dir, FT_SPLIT_NAME).format(overhead)
if os.path.exists(ovh_fname):
os.remove(ovh_fname)
ovh_file = open(ovh_fname, 'w')
# Extract matching overhead events into a seperate file
cmd = [conf.BINS["ftsplit"], "-r", "-b", overhead, overhead_bin]
ret = subprocess.call(cmd, cwd=out_dir, stderr=err_file, stdout=ovh_file)
size = os.stat(ovh_fname).st_size
if ret:
raise Exception("Failed (%d) with command: %s" % (ret, " ".join(cmd)))
if not size:
os.remove(ovh_fname)
if size and not ret:
# Map and sort file for stats
data = np.memmap(ovh_fname, dtype="float32", mode='c')
data /= float(cycles) # Scale for processor speed
data.sort()
m = Measurement("%s-%s" % (overhead_bin, overhead))
m[Type.Max] = data[-1]
m[Type.Avg] = np.mean(data)
m[Type.Min] = data[0]
m[Type.Var] = np.var(data)
result[overhead] = m
os.remove(ovh_fname)
def sort_ft(ft_file, err_file, out_dir):
'''Create and return file with sorted overheads from @ft_file.'''
out_fname = "{}/{}".format(out_dir, FT_SORTED_NAME)
# Sort happens in-place
sh.copyfile(ft_file, out_fname)
cmd = [conf.BINS['ftsort'], out_fname]
ret = subprocess.call(cmd, cwd=out_dir, stderr=err_file, stdout=err_file)
if ret:
raise Exception("Sort failed with command: %s" % " ".join(cmd))
return out_fname
def extract_ft_data(result, data_dir, work_dir, cycles):
freg = conf.FILES['ft_data'] + "$"
bins = [f for f in os.listdir(data_dir) if re.match(freg, f)]
if not len(bins):
return False
bin_file = "{}/{}".format(data_dir, bins[0])
with open("%s/%s" % (work_dir, FT_ERR_NAME), 'w') as err_file:
sorted_bin = sort_ft(bin_file, err_file, work_dir)
for event in conf.BASE_EVENTS:
parse_overhead(result, sorted_bin, event, cycles,
work_dir, err_file)
os.remove(sorted_bin)
return True
|