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-rwxr-xr-xutil/dram_sweep_plot.py86
1 files changed, 65 insertions, 21 deletions
diff --git a/util/dram_sweep_plot.py b/util/dram_sweep_plot.py
index a57de3d1c..347986b20 100755
--- a/util/dram_sweep_plot.py
+++ b/util/dram_sweep_plot.py
@@ -57,18 +57,28 @@ import re
# generated by the config/dram/sweep.py script
def main():
- if len(sys.argv) != 2:
- print "Usage: ", sys.argv[0], " <simout directory>"
+ if len(sys.argv) != 3:
+ print "Usage: ", sys.argv[0], "-u|p|e <simout directory>"
exit(-1)
+ if len(sys.argv[1]) != 2 or sys.argv[1][0] != '-' or \
+ not sys.argv[1][1] in "upe":
+ print "Choose -u (utilisation), -p (total power), or -e " \
+ "(power efficiency)"
+ exit(-1)
+
+ # Choose the appropriate mode, either utilisation, total power, or
+ # efficiency
+ mode = sys.argv[1][1]
+
try:
- stats = open(sys.argv[1] + '/stats.txt', 'r')
+ stats = open(sys.argv[2] + '/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')
+ simout = open(sys.argv[2] + '/simout', 'r')
except IOError:
print "Failed to open ", sys.argv[1] + '/simout', " for reading"
exit(-1)
@@ -92,29 +102,57 @@ def main():
print "Failed to establish sweep details, ensure simout is up-to-date"
exit(-1)
+ # Now parse the stats
+ peak_bw = []
+ bus_util = []
+ avg_pwr = []
+
+ for line in stats:
+ match = re.match(".*busUtil\s+(\d+\.\d+)\s+#.*", line)
+ if match:
+ bus_util.append(float(match.groups(0)[0]))
+
+ match = re.match(".*peakBW\s+(\d+\.\d+)\s+#.*", line)
+ if match:
+ peak_bw.append(float(match.groups(0)[0]))
- # Collect the bus utilisation as our Z-axis, we do this in a 2D
+ match = re.match(".*averagePower\s+(\d+\.\d+)\s+#.*", line)
+ if match:
+ avg_pwr.append(float(match.groups(0)[0]))
+ stats.close()
+
+
+ # Sanity check
+ if not (len(peak_bw) == len(bus_util) and len(bus_util) == len(avg_pwr)):
+ print "Peak bandwidth, bus utilisation, and average power do not match"
+ exit(-1)
+
+ # Collect the selected metric as our Z-axis, we do this in a 2D
# grid corresponding to each iteration over the various stride
# sizes.
z = []
zs = []
i = 0
- # Now parse the stats
- for line in stats:
- match = re.match(".*busUtil\s+(\d+\.\d+)\s+#.*", line)
- if match:
- bus_util = float(match.groups(0)[0])
- z.append(bus_util)
- i += 1
- # If we have completed a sweep over the stride sizes,
- # start anew
- if i == max_size / burst_size:
- zs.append(z)
- z = []
- i = 0
-
- stats.close()
+ for j in range(len(peak_bw)):
+ if mode == 'u':
+ z.append(bus_util[j])
+ elif mode == 'p':
+ z.append(avg_pwr[j])
+ elif mode == 'e':
+ # avg_pwr is in mW, peak_bw in MiByte/s, bus_util in percent
+ z.append(avg_pwr[j] / (bus_util[j] / 100.0 * peak_bw[j] / 1000.0))
+ else:
+ print "Unexpected mode %s" % mode
+ exit(-1)
+
+ i += 1
+ # If we have completed a sweep over the stride sizes,
+ # start anew
+ if i == max_size / burst_size:
+ zs.append(z)
+ z = []
+ i = 0
# We should have a 2D grid with as many columns as banks
if len(zs) != banks:
@@ -140,7 +178,13 @@ def main():
ax.set_xlabel('Bytes per activate')
ax.set_ylabel('Banks')
- ax.set_zlabel('Efficiency (%)')
+
+ if mode == 'u':
+ ax.set_zlabel('Utilisation (%)')
+ elif mode == 'p':
+ ax.set_zlabel('Power (mW)')
+ elif mode == 'e':
+ ax.set_zlabel('Power efficiency (mW / GByte / s)')
# Add a colorbar
fig.colorbar(surf, shrink=0.5, pad=.1, aspect=10)