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
  42     from mpl_toolkits.mplot3d import Axes3D
  43     from matplotlib import cm
  44     from matplotlib.ticker import LinearLocator, FormatStrFormatter
  45     import matplotlib.pyplot as plt
  46     import numpy as np
  47 except ImportError:
  48     print "Failed to import matplotlib and numpy"
  49     exit(-1)
  50
  51 import sys
  52 import re
  53
  54 # Determine the parameters of the sweep from the simout output, and
  55 # then parse the stats and plot the 3D surface corresponding to the
  56 # different combinations of parallel banks, and stride size, as
  57 # generated by the config/dram/sweep.py script
  58 def main():
  59
  60     if len(sys.argv) != 2:
  61         print "Usage: ", sys.argv[0], " <simout directory>"
  62         exit(-1)
  63
  64     try:
  65         stats = open(sys.argv[1] + '/stats.txt', 'r')
  66     except IOError:
  67         print "Failed to open ", sys.argv[1] + '/stats.txt', " for reading"
  68         exit(-1)
  69
  70     try:
  71         simout = open(sys.argv[1] + '/simout', 'r')
  72     except IOError:
  73         print "Failed to open ", sys.argv[1] + '/simout', " for reading"
  74         exit(-1)
  75
  76     # Get the burst size, number of banks and the maximum stride from
  77     # the simulation output
  78     got_sweep = False
  79
  80     for line in simout:
  81         match = re.match("DRAM sweep with "
  82                          "burst: (\d+), banks: (\d+), max stride: (\d+)", line)
  83         if match:
  84             burst_size = int(match.groups(0)[0])
  85             banks = int(match.groups(0)[1])
  86             max_size = int(match.groups(0)[2])
  87             got_sweep = True
  88
  89     simout.close()
  90
  91     if not got_sweep:
  92         print "Failed to establish sweep details, ensure simout is up-to-date"
  93         exit(-1)
  94
  95
  96     # Collect the bus utilisation as our Z-axis, we do this in a 2D
  97     # grid corresponding to each iteration over the various stride
  98     # sizes.
  99     z = []
 100     zs = []
 101     i = 0
 102
 103     # Now parse the stats
 104     for line in stats:
 105         match = re.match(".*busUtil\s+(\d+\.\d+)\s+#.*", line)
 106         if match:
 107             bus_util = float(match.groups(0)[0])
 108             z.append(bus_util)
 109             i += 1
 110             # If we have completed a sweep over the stride sizes,
 111             # start anew
 112             if i == max_size / burst_size:
 113                 zs.append(z)
 114                 z = []
 115                 i = 0
 116
 117     stats.close()
 118
 119     # We should have a 2D grid with as many columns as banks
 120     if len(zs) != banks:
 121         print "Unexpected number of data points in stats output"
 122         exit(-1)
 123
 124     fig = plt.figure()
 125     ax = fig.gca(projection='3d')
 126     X = np.arange(burst_size, max_size + 1, burst_size)
 127     Y = np.arange(1, banks + 1, 1)
 128     X, Y = np.meshgrid(X, Y)
 129
 130     # the values in the util are banks major, so we see groups for each
 131     # stride size in order
 132     Z = np.array(zs)
 133
 134     surf = ax.plot_surface(X, Y, Z, rstride=1, cstride=1, cmap=cm.coolwarm,
 135                            linewidth=0, antialiased=False)
 136
 137     # Change the tick frequency to 64
 138     start, end = ax.get_xlim()
 139     ax.xaxis.set_ticks(np.arange(start, end + 1, 64))
 140
 141     ax.set_xlabel('Bytes per activate')
 142     ax.set_ylabel('Banks')
 143     ax.set_zlabel('Efficiency (%)')
 144
 145     # Add a colorbar
 146     fig.colorbar(surf, shrink=0.5, pad=.1, aspect=10)
 147
 148     plt.show()
 149
 150 if __name__ == "__main__":
 151     main()