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#!/usr/bin/env python2.7
# Copyright (c) 2015 ARM Limited
# All rights reserved
#
# The license below extends only to copyright in the software and shall
# not be construed as granting a license to any other intellectual
# property including but not limited to intellectual property relating
# to a hardware implementation of the functionality of the software
# licensed hereunder. You may use the software subject to the license
# terms below provided that you ensure that this notice is replicated
# unmodified and in its entirety in all distributions of the software,
# modified or unmodified, in source code or in binary form.
#
# Redistribution and use in source and binary forms, with or without
# modification, are permitted provided that the following conditions are
# met: redistributions of source code must retain the above copyright
# notice, this list of conditions and the following disclaimer;
# redistributions in binary form must reproduce the above copyright
# notice, this list of conditions and the following disclaimer in the
# documentation and/or other materials provided with the distribution;
# neither the name of the copyright holders nor the names of its
# contributors may be used to endorse or promote products derived from
# this software without specific prior written permission.
#
# THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS
# "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT
# LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR
# A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT
# OWNER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL,
# SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT
# LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE,
# DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY
# THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT
# (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE
# OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
#
# Authors: Andreas Hansson
try:
import matplotlib.pyplot as plt
import matplotlib as mpl
import numpy as np
except ImportError:
print "Failed to import matplotlib and numpy"
exit(-1)
import sys
import re
# This script is intended to post process and plot the output from
# running configs/dram/lat_mem_rd.py, as such it parses the simout and
# stats.txt to get the relevant data points.
def main():
if len(sys.argv) != 2:
print "Usage: ", sys.argv[0], "<simout directory>"
exit(-1)
try:
stats = open(sys.argv[1] + '/stats.txt', 'r')
except IOError:
print "Failed to open ", sys.argv[1] + '/stats.txt', " for reading"
exit(-1)
try:
simout = open(sys.argv[1] + '/simout', 'r')
except IOError:
print "Failed to open ", sys.argv[1] + '/simout', " for reading"
exit(-1)
# Get the address ranges
got_ranges = False
ranges = []
iterations = 1
for line in simout:
if got_ranges:
ranges.append(int(line) / 1024)
match = re.match("lat_mem_rd with (\d+) iterations, ranges:.*", line)
if match:
got_ranges = True
iterations = int(match.groups(0)[0])
simout.close()
if not got_ranges:
print "Failed to get address ranges, ensure simout is up-to-date"
exit(-1)
# Now parse the stats
raw_rd_lat = []
for line in stats:
match = re.match(".*readLatencyHist::mean\s+(.+)\s+#.*", line)
if match:
raw_rd_lat.append(float(match.groups(0)[0]) / 1000)
stats.close()
# The stats also contain the warming, so filter the latency stats
i = 0
filtered_rd_lat = []
for l in raw_rd_lat:
if i % (iterations + 1) == 0:
pass
else:
filtered_rd_lat.append(l)
i = i + 1
# Next we need to take care of the iterations
rd_lat = []
for i in range(iterations):
rd_lat.append(filtered_rd_lat[i::iterations])
final_rd_lat = map(lambda p: min(p), zip(*rd_lat))
# Sanity check
if not (len(ranges) == len(final_rd_lat)):
print "Address ranges (%d) and read latency (%d) do not match" % \
(len(ranges), len(final_rd_lat))
exit(-1)
for (r, l) in zip(ranges, final_rd_lat):
print r, round(l, 2)
# lazy version to check if an integer is a power of two
def is_pow2(num):
return num != 0 and ((num & (num - 1)) == 0)
plt.semilogx(ranges, final_rd_lat)
# create human readable labels
xticks_locations = [r for r in ranges if is_pow2(r)]
xticks_labels = []
for x in xticks_locations:
if x < 1024:
xticks_labels.append('%d kB' % x)
else:
xticks_labels.append('%d MB' % (x / 1024))
plt.xticks(xticks_locations, xticks_labels, rotation=-45)
plt.minorticks_off()
plt.xlim((xticks_locations[0], xticks_locations[-1]))
plt.ylabel("Latency (ns)")
plt.grid(True)
plt.show()
if __name__ == "__main__":
main()
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