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Peter W. Draper authored
Use more than one thread for send and receive as well as injection, also make it possible to use the output from swiftmpifakestepsim as the input to swiftmpistepsim (use -z flag)
Peter W. Draper authoredUse more than one thread for send and receive as well as injection, also make it possible to use the output from swiftmpifakestepsim as the input to swiftmpistepsim (use -z flag)
post-process.py 5.76 KiB
#!/usr/bin/env python
"""
Usage:
post-process.py [options] output-log matched-log
Match the sends and recvs across the ranks so that the timings for message
completion can be checked. This is written to the file matched_log. Also
produces simple report of some interesting values and produces plots comparing
various timings.
This file is part of SWIFT.
Copyright (C) 2019 Peter W. Draper (p.w.draper@durham.ac.uk)
All Rights Reserved.
This program is free software: you can redistribute it and/or modify
it under the terms of the GNU Lesser General Public License as published
by the Free Software Foundation, either version 3 of the License, or
(at your option) any later version.
This program is distributed in the hope that it will be useful,
but WITHOUT ANY WARRANTY; without even the implied warranty of
MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
GNU General Public License for more details.
You should have received a copy of the GNU Lesser General Public License
along with this program. If not, see <http://www.gnu.org/licenses/>.
"""
import matplotlib
#matplotlib.use("Agg")
import matplotlib.pyplot as plt
import numpy
import pylab as pl
import sys
import argparse
# Handle the command line.
parser = argparse.ArgumentParser(description="Match MPI reports")
parser.add_argument(
"input",
help="Output log from simulator")
parser.add_argument(
"output",
help="Matched entries from the input data")
parser.add_argument(
"-v",
"--verbose",
dest="verbose",
help="Verbose output",
default=False,
action="store_true",
)
args = parser.parse_args()
infile = args.input
outfile = args.output
# Indices for words in a line.
logticcol=0
logcol=1
injcol=2
endcol=3
dticcol=4
stepcol=5
rankcol=6
otherrankcol=7
itypecol=8
isubtypecol=9
tagcol=10
sizecol=11
ntestcol=12
sumcol=13
mincol=14
maxcol=15
# Keyed lines.
keysends = {}
keyrecvs = {}
# Indexed lines.
sends = []
recvs = []
nsends = 0
nrecvs = 0
# Gather keys from the input log. We created dicts with matchable keys
# for when sends start and recvs end. Other pairings are possible...
# Note size of completion recv is negative.
with open(infile, "r") as fp:
for line in fp:
if line[0] == '#':
continue
words = line.split()
if words[itypecol] == "25":
key = words[otherrankcol] + "/" + \
words[rankcol] + "/" + \
words[isubtypecol] + "/" + \
words[tagcol] + "/" + \
words[sizecol]
if not key in keysends:
keysends[key] = [nsends]
else:
keysends[key].append(nsends)
sends.append(words)
nsends = nsends + 1
elif words[itypecol] == "26":
key = words[rankcol] + "/" + \
words[otherrankcol] + "/" + \
words[isubtypecol] + "/" + \
words[tagcol] + "/" + \
words[sizecol]
if not key in keyrecvs:
keyrecvs[key] = [nrecvs]
else:
keyrecvs[key].append(nrecvs)
recvs.append(words)
nrecvs = nrecvs + 1
# Now output. Note we could have unmatched recv keys, we don't check for that.
msends = [None] * nsends
with open(outfile, "w") as fp:
fp.write("# send_logticin send_logtic send_injtic send_endtic send_dtic send_step send_rank send_otherrank send_itype send_isubtype send_tag send_size send_nr_tests send_tsum send_tmin send_tmax recv_logticin recv_logtic recv_injtic recv_endtic recv_dtic recv_step recv_rank recv_otherrank recv_itype recv_isubtype recv_tag recv_size recv_nr_tests recv_tsum recv_tmin recv_tmax\n")
for key in keysends:
if key in keyrecvs:
if len(keysends[key]) == 1 and len(keyrecvs[key]) == 1:
isend = keysends[key][0]
irecv = keyrecvs[key][0]
msends[isend] = irecv
fp.write(" ".join(sends[isend]) + " " + " ".join(recvs[irecv]) + "\n")
else:
print "# ERROR: found ", len(keysends[key]), "/", len(keyrecvs[key]), " matches for key: ", key, " should be 1/1"
else:
print "# ERROR: missing recv key: ", key
print "# Matched sends and recvs written to file: ", outfile
# Reorder recvs to same order as sends.
recvs = [recvs[i] for i in msends]
# Do a plot. Display and saves the graphic, uncomment the "Agg" line above to just save.
def doplot(x, y, xlabel, ylabel, title, outpng):
axmax1 = max(x)
axmax2 = max(y)
axmax = max([axmax1, axmax2])
fig,ax = plt.subplots()
ax.set_xlim(0,axmax)
ax.set_ylim(0,axmax)
ax.plot(x, y, ',')
ax.set_xlabel(xlabel)
ax.set_ylabel(ylabel)
ax.set_title("SWIFTmpistepsim plot: " + title)
fig.tight_layout()
plt.savefig(outpng, bbox_inches="tight")
print "# Saved plot to: ", outpng
plt.show()
# Plot no. 1: sends injection time against time of local handoff.
send_injects = [float(send[injcol]) for send in [line for line in sends]]
send_ends = [float(send[endcol]) for send in [line for line in sends]]
doplot(send_injects, send_ends, "Message start time",
"Message local completion time", "local send completions",
"local_sends.png")
# Plot no. 2: recv injection time against time of local handoff.
recv_injects = [float(recv[injcol]) for recv in [line for line in recvs]]
recv_ends = [float(recv[endcol]) for recv in [line for line in recvs]]
doplot(recv_injects, recv_ends, "Message start time",
"Message local completion time", "local recv completions",
"local_recvs.png")
# Plot no. 3: send injection time against time of remote completion.
doplot(send_injects, recv_ends, "Message start time",
"Global message completion time", "message completion times",
"completions.png")
sys.exit(0)