util/dram_sweep_plot.py

   1 #!/usr/bin/env python
   2
   3 # Copyright (c) 2014 ARM Limited
   4 # All rights reserved
   5 #
   6 # The license below extends only to copyright in the software and shall
   7 # not be construed as granting a license to any other intellectual
   8 # property including but not limited to intellectual property relating
   9 # to a hardware implementation of the functionality of the software
  10 # licensed hereunder.  You may use the software subject to the license
  11 # terms below provided that you ensure that this notice is replicated
  12 # unmodified and in its entirety in all distributions of the software,
  13 # modified or unmodified, in source code or in binary form.
  14 #
  15 # Redistribution and use in source and binary forms, with or without
  16 # modification, are permitted provided that the following conditions are
  17 # met: redistributions of source code must retain the above copyright
  18 # notice, this list of conditions and the following disclaimer;
  19 # redistributions in binary form must reproduce the above copyright
  20 # notice, this list of conditions and the following disclaimer in the
  21 # documentation and/or other materials provided with the distribution;
  22 # neither the name of the copyright holders nor the names of its
  23 # contributors may be used to endorse or promote products derived from
  24 # this software without specific prior written permission.
  25 #
  26 # THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS
  27 # "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT
  28 # LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR
  29 # A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT
  30 # OWNER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL,
  31 # SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT
  32 # LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE,
  33 # DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY
  34 # THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT
  35 # (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE
  36 # OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
  37 #
  38 # Authors: Andreas Hansson
  39
  40 try:
  41     from mpl_toolkits.mplot3d import Axes3D
  42     from matplotlib import cm
  43     import matplotlib.pyplot as plt
  44     import numpy as np
  45 except ImportError:
  46     print "Failed to import matplotlib and numpy"
  47     exit(-1)
  48
  49 import sys
  50 import re
  51
  52 # Determine the parameters of the sweep from the simout output, and
  53 # then parse the stats and plot the 3D surface corresponding to the
  54 # different combinations of parallel banks, and stride size, as
  55 # generated by the config/dram/sweep.py script
  56 def main():
  57
  58     if len(sys.argv) != 3:
  59         print "Usage: ", sys.argv[0], "-u|p|e <simout directory>"
  60         exit(-1)
  61
  62     if len(sys.argv[1]) != 2 or sys.argv[1][0] != '-' or \
  63             not sys.argv[1][1] in "upe":
  64         print "Choose -u (utilisation), -p (total power), or -e " \
  65             "(power efficiency)"
  66         exit(-1)
  67
  68     # Choose the appropriate mode, either utilisation, total power, or
  69     # efficiency
  70     mode = sys.argv[1][1]
  71
  72     try:
  73         stats = open(sys.argv[2] + '/stats.txt', 'r')
  74     except IOError:
  75         print "Failed to open ", sys.argv[2] + '/stats.txt', " for reading"
  76         exit(-1)
  77
  78     try:
  79         simout = open(sys.argv[2] + '/simout', 'r')
  80     except IOError:
  81         print "Failed to open ", sys.argv[2] + '/simout', " for reading"
  82         exit(-1)
  83
  84     # Get the burst size, number of banks and the maximum stride from
  85     # the simulation output
  86     got_sweep = False
  87
  88     for line in simout:
  89         match = re.match("DRAM sweep with "
  90                          "burst: (\d+), banks: (\d+), max stride: (\d+)", line)
  91         if match:
  92             burst_size = int(match.groups(0)[0])
  93             banks = int(match.groups(0)[1])
  94             max_size = int(match.groups(0)[2])
  95             got_sweep = True
  96
  97     simout.close()
  98
  99     if not got_sweep:
 100         print "Failed to establish sweep details, ensure simout is up-to-date"
 101         exit(-1)
 102
 103     # Now parse the stats
 104     peak_bw = []
 105     bus_util = []
 106     avg_pwr = []
 107
 108     for line in stats:
 109         match = re.match(".*busUtil\s+(\d+\.\d+)\s+#.*", line)
 110         if match:
 111             bus_util.append(float(match.groups(0)[0]))
 112
 113         match = re.match(".*peakBW\s+(\d+\.\d+)\s+#.*", line)
 114         if match:
 115             peak_bw.append(float(match.groups(0)[0]))
 116
 117         match = re.match(".*averagePower\s+(\d+\.?\d*)\s+#.*", line)
 118         if match:
 119             avg_pwr.append(float(match.groups(0)[0]))
 120     stats.close()
 121
 122
 123     # Sanity check
 124     if not (len(peak_bw) == len(bus_util) and len(bus_util) == len(avg_pwr)):
 125         print "Peak bandwidth, bus utilisation, and average power do not match"
 126         exit(-1)
 127
 128     # Collect the selected metric as our Z-axis, we do this in a 2D
 129     # grid corresponding to each iteration over the various stride
 130     # sizes.
 131     z = []
 132     zs = []
 133     i = 0
 134
 135     for j in range(len(peak_bw)):
 136         if mode == 'u':
 137             z.append(bus_util[j])
 138         elif mode == 'p':
 139             z.append(avg_pwr[j])
 140         elif mode == 'e':
 141             # avg_pwr is in mW, peak_bw in MiByte/s, bus_util in percent
 142             z.append(avg_pwr[j] / (bus_util[j] / 100.0 * peak_bw[j] / 1000.0))
 143         else:
 144             print "Unexpected mode %s" % mode
 145             exit(-1)
 146
 147         i += 1
 148         # If we have completed a sweep over the stride sizes,
 149         # start anew
 150         if i == max_size / burst_size:
 151             zs.append(z)
 152             z = []
 153             i = 0
 154
 155     # We should have a 2D grid with as many columns as banks
 156     if len(zs) != banks:
 157         print "Unexpected number of data points in stats output"
 158         exit(-1)
 159
 160     fig = plt.figure()
 161     ax = fig.gca(projection='3d')
 162     X = np.arange(burst_size, max_size + 1, burst_size)
 163     Y = np.arange(1, banks + 1, 1)
 164     X, Y = np.meshgrid(X, Y)
 165
 166     # the values in the util are banks major, so we see groups for each
 167     # stride size in order
 168     Z = np.array(zs)
 169
 170     surf = ax.plot_surface(X, Y, Z, rstride=1, cstride=1, cmap=cm.coolwarm,
 171                            linewidth=0, antialiased=False)
 172
 173     # Change the tick frequency to 64
 174     start, end = ax.get_xlim()
 175     ax.xaxis.set_ticks(np.arange(start, end + 1, 64))
 176
 177     ax.set_xlabel('Bytes per activate')
 178     ax.set_ylabel('Banks')
 179
 180     if mode == 'u':
 181         ax.set_zlabel('Utilisation (%)')
 182     elif mode == 'p':
 183         ax.set_zlabel('Power (mW)')
 184     elif mode == 'e':
 185         ax.set_zlabel('Power efficiency (mW / GByte / s)')
 186
 187     # Add a colorbar
 188     fig.colorbar(surf, shrink=0.5, pad=.1, aspect=10)
 189
 190     plt.show()
 191
 192 if __name__ == "__main__":
 193     main()