derek/DRAMSys
1
0
Fork 0
Code Issues Pull Requests Actions Packages Projects Releases Wiki Activity

Merge pull request #80 from sprado/master

Browse Source 
Charts Correction
This commit is contained in:
fzeder
2016-05-03 17:03:19 +02:00
parent 997d11286c c0f83bb1dc
commit afd06aa709
1 changed files with 25 additions and 33 deletions
Download Patch File Download Diff File Expand all files Collapse all files

58
DRAMSys/analyzer/scripts/plots.py
View File

@@ -7,7 +7,6 @@ import os
plots = []
def plot(function):
plots.append(function)
return function
@@ -22,58 +21,52 @@ def memory_utilisation_window(connection, tracePath):
# Besides, extracting the data from the memory specs, it is feasible to calculate the maximum data rate of the memory and then determine the bandwidth in Gbit/s.
# The bandwidth data are then plotted in two graphics.
steps = 1000
cursor = connection.cursor()
cursor.execute(""" SELECT max(DataStrobeEnd) FROM Transactions """)
total = cursor.fetchone()
windowSize = ceil(float(total[0])/float(steps))
if (windowSize == 0):
windowSize = 1
# print(steps)
cursor.execute(""" SELECT max(time) FROM Power """)
maxTime = cursor.fetchone()
cursor.execute(""" SELECT min(time) FROM Power where time > 0 """)
windowSize = cursor.fetchone()[0]
steps = ceil(float(maxTime[0])/float(windowSize))
# All possible cases of data transfers inside a time window
queryFull = """ SELECT sum(DataStrobeEnd - DataStrobeBegin) FROM transactions Where DataStrobeBegin > ? and DataStrobeEnd < ?""" # The data transfer begins and ends inside the time window
queryEnd = """ SELECT sum(DataStrobeEnd - ?) FROM transactions Where DataStrobeBegin < ? and DataStrobeEnd > ? and DataStrobeEnd <=?""" # Only the end of the data transfer is inside the time window
queryBegin = """ SELECT sum(? - DataStrobeBegin) FROM transactions Where DataStrobeBegin >= ? and DataStrobeBegin < ? and DataStrobeEnd > ?""" # Only the beginning of the data transfer is inside the time window
queryPart = """ SELECT DataStrobeBegin FROM transactions Where DataStrobeBegin <= ? and DataStrobeEnd >= ?""" # The data transfer occupies all the time window
maxDataRate = maximum_data_rate(connection)
# print(width)
# print(clk)
# print(rate)
bandwidthPercentage = [0] * steps
bandwidth = [0] * steps
bandwidthPercentage = [0] * (steps+1)
bandwidth = [0] * (steps+1)
bandwidthPercentage[0] = 0
bandwidth[0] = 0
for i in range(steps):
# print(i)
bandwidthPercentage[i] = 0
bandwidthPercentage[i+1] = 0
cursor.execute(queryPart, (i*windowSize, (i+1)*windowSize))
result = cursor.fetchone()
if(result is None):
cursor.execute(queryFull, (i*windowSize, (i+1)*windowSize))
result = cursor.fetchone()
if(result[0] is not None):
bandwidthPercentage[i] += int(result[0])
bandwidthPercentage[i+1] += int(result[0])
# print(bandwidthPercentage[i])
cursor.execute(queryEnd, (i*windowSize, i*windowSize, i*windowSize, (i+1)*windowSize))
result = cursor.fetchone()
if(result[0] is not None):
bandwidthPercentage[i] += int(result[0])
bandwidthPercentage[i+1] += int(result[0])
# print(bandwidthPercentage[i])
cursor.execute(queryBegin, ((i+1)*windowSize, i*windowSize, (i+1)*windowSize, (i+1)*windowSize))
result = cursor.fetchone()
if(result[0] is not None):
bandwidthPercentage[i] += int(result[0])
bandwidthPercentage[i+1] += int(result[0])
# print(bandwidthPercentage[i])
else:
bandwidthPercentage[i] = windowSize
bandwidthPercentage[i+1] = windowSize
# print(bandwidthPercentage[i])
bandwidthPercentage[i] = float(bandwidthPercentage[i]/windowSize)
bandwidth[i] = float(bandwidthPercentage[i])*float(maxDataRate)/1024
bandwidthPercentage[i] *= 100
bandwidthPercentage[i+1] = float(bandwidthPercentage[i+1]/windowSize)
bandwidth[i+1] = float(bandwidthPercentage[i+1])*float(maxDataRate)/1024
bandwidthPercentage[i+1] *= 100
name = ntpath.basename(tracePath)
basename, extension = os.path.splitext(name)
OUTPUT_FILE = 'memory_utilization_' + basename + '.pdf'
print("Output file is {0}".format(OUTPUT_FILE))
@@ -81,8 +74,7 @@ def memory_utilisation_window(connection, tracePath):
import numpy as np
from matplotlib.backends.backend_pdf import PdfPages
time = np.arange(0, steps*windowSize, windowSize)
time = np.arange(0, (steps+1)*windowSize, windowSize)
plt.figure()
subplotIndex = 211
@@ -112,13 +104,13 @@ def power_window(connection, tracePath):
cursor = connection.cursor()
cursor.execute(""" SELECT max(time) FROM Power """)
maxTime = cursor.fetchone()
cursor.execute(""" SELECT min(time) FROM Power WHERE time > 0""")
windowSize = cursor.fetchone()
steps = ceil(float(maxTime[0])/float(windowSize[0]))
cursor.execute(""" SELECT min(time) FROM Power where time > 0 """)
windowSize = cursor.fetchone()[0]
steps = ceil(float(maxTime[0])/float(windowSize))
cursor.execute(""" SELECT * FROM Power """)
time = [0] * steps
power = [0] * steps
for i in range(steps):
time = [0] * (steps+1)
power = [0] * (steps+1)
for i in range((steps+1)):
result = cursor.fetchone()
time[i] = int(result[0])/1000
power[i] = float(result[1])
@@ -156,7 +148,7 @@ def power_window(connection, tracePath):
# return "Saved as hist.png"
def generatePlots(pathToTrace):
def generatePlots(pathToTrace):
connection = sqlite3.connect(pathToTrace)
print("================================")