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Yentl Van Tendeloo
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models/dist_memo/dist_memo.eps
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models/dist_memo/dist_memo.eps
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||||
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|
||||
/Author (yentl)
|
||||
% /Producer (gnuplot)
|
||||
% /Keywords ()
|
||||
/CreationDate (Mon Feb 2 09:56:58 2015)
|
||||
/DOCINFO pdfmark
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end
|
||||
} ifelse
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end
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end
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showpage
|
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%%Trailer
|
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%%DocumentFonts: Helvetica
|
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%%Pages: 1
|
||||
76
models/dist_memo/model.py
Normal file
76
models/dist_memo/model.py
Normal file
|
|
@ -0,0 +1,76 @@
|
|||
import random
|
||||
import sys
|
||||
sys.path.append("../../../src/")
|
||||
sys.path.append("../../src/")
|
||||
|
||||
from DEVS import AtomicDEVS, CoupledDEVS
|
||||
|
||||
class Node(AtomicDEVS):
|
||||
def __init__(self, nr, load):
|
||||
AtomicDEVS.__init__(self, "Node" + str(nr))
|
||||
self.state = None
|
||||
self.load = load
|
||||
|
||||
def intTransition(self):
|
||||
for _ in xrange(self.load):
|
||||
pass
|
||||
return self.state
|
||||
|
||||
def extTransition(self, inputs):
|
||||
return self.state
|
||||
|
||||
def timeAdvance(self):
|
||||
return 1.0
|
||||
|
||||
def outputFnc(self):
|
||||
return {}
|
||||
|
||||
class ExchangeModel(AtomicDEVS):
|
||||
def __init__(self):
|
||||
AtomicDEVS.__init__(self, "Exchange")
|
||||
self.state = None
|
||||
self.inport = self.addInPort("in")
|
||||
self.outport = self.addOutPort("out")
|
||||
|
||||
def intTransition(self):
|
||||
return self.state
|
||||
|
||||
def extTransition(self, inputs):
|
||||
return self.state
|
||||
|
||||
def timeAdvance(self):
|
||||
return 1.0
|
||||
|
||||
def outputFnc(self):
|
||||
return {self.outport: [None]}
|
||||
|
||||
class NodeGrid(CoupledDEVS):
|
||||
def __init__(self, load):
|
||||
CoupledDEVS.__init__(self, "Grid")
|
||||
for i in range(800):
|
||||
self.addSubModel(Node(i, load))
|
||||
|
||||
class DualGrid(CoupledDEVS):
|
||||
def __init__(self, load):
|
||||
CoupledDEVS.__init__(self, "Root")
|
||||
grid1 = self.addSubModel(NodeGrid(load), 0)
|
||||
grid2 = self.addSubModel(NodeGrid(load), 1)
|
||||
grid1_node = self.addSubModel(ExchangeModel(), 0)
|
||||
grid2_node = self.addSubModel(ExchangeModel(), 1)
|
||||
self.connectPorts(grid1_node.outport, grid2_node.inport)
|
||||
self.connectPorts(grid2_node.outport, grid1_node.inport)
|
||||
|
||||
if __name__ == "__main__":
|
||||
random.seed(1)
|
||||
from simulator import Simulator
|
||||
model = DualGrid(int(sys.argv[1]))
|
||||
sim = Simulator(model)
|
||||
sim.setTerminationTime(100)
|
||||
#sim.setVerbose(True)
|
||||
sim.setMessageCopy('none')
|
||||
sim.setStateSaving('assign')
|
||||
sim.setGVTInterval(5)
|
||||
memo = True if sys.argv[2] == "True" else False
|
||||
sim.setMemoization(memo)
|
||||
sim.setSchedulerSortedList()
|
||||
sim.simulate()
|
||||
8
models/dist_memo/plot
Normal file
8
models/dist_memo/plot
Normal file
|
|
@ -0,0 +1,8 @@
|
|||
set terminal postscript enhanced colour portrait size 6,6
|
||||
set out 'dist_memo.eps'
|
||||
set xlabel "Transition function load (ms)"
|
||||
set ylabel "Time (s)"
|
||||
set key top left
|
||||
set yrange [0:110]
|
||||
set title "Influence of memoization"
|
||||
plot 'result_True_ok' using ($1/54):(($2+$3+$4)/3) w l lw 5 title 'With memoization', 'result_False_ok' using ($1/54):(($2+$3+$4)/3) w l lw 5 title 'Without memoization'
|
||||
36
models/dist_memo/result_False
Normal file
36
models/dist_memo/result_False
Normal file
|
|
@ -0,0 +1,36 @@
|
|||
5000 15.18 15.54 15.22 15.89 14.98
|
||||
6000 18.69 17.27 17.73 17.4 18.25
|
||||
7000 20.47 21.03 19.92 21.15 19.77
|
||||
8000 22.71 22.41 23.76 22.08 21.88
|
||||
9000 24.95 24.82 24.94 25.3 25.13
|
||||
10000 26.67 27.34 27.24 26.66 26.8
|
||||
11000 29.57 29.92 30.68 31.59 29.71
|
||||
12000 33.32 31.83 32.73 31.43 32.56
|
||||
13000 34.8 34.33 34.85 34.82 34.36
|
||||
14000 37.55 36.98 36.09 37.39 37.65
|
||||
15000 38.97 39.0 38.49 39.42 39.29
|
||||
16000 40.17 40.88 41.88 43.26 41.35
|
||||
17000 46.76 45.51 46.27 43.16 44.91
|
||||
18000 45.96 46.62 46.89 46.37 46.93
|
||||
19000 48.71 48.08 48.92 49.85 49.38
|
||||
20000 50.06 52.29 50.58 51.54 49.46
|
||||
21000 54.36 55.07 52.96 53.52 55.93
|
||||
22000 55.17 56.19 56.55 55.98 56.26
|
||||
23000 57.82 59.81 57.76 58.56 59.02
|
||||
24000 62.78 61.87 60.06 61.01 61.1
|
||||
25000 64.29 64.83 63.42 64.46 64.52
|
||||
26000 65.86 67.18 66.64 67.03 67.66
|
||||
27000 67.59 69.28 69.0 67.31 67.45
|
||||
28000 69.6 70.37 69.59 71.05 70.13
|
||||
29000 78.62 75.45 74.93 75.21 73.57
|
||||
30000 75.22 76.2 76.94 73.67 75.85
|
||||
31000 77.41 77.36 78.44 78.22 79.34
|
||||
32000 81.05 77.96 79.34 81.38 78.65
|
||||
33000 83.35 83.67 83.53 83.02 82.55
|
||||
34000 86.3 84.01 84.0 83.32 84.18
|
||||
35000 86.61 87.8 87.9 85.31 88.81
|
||||
36000 91.42 89.79 89.24 89.58 89.51
|
||||
37000 91.02 92.08 91.93 92.72 92.35
|
||||
38000 95.61 95.45 93.87 97.03 94.77
|
||||
39000 97.01 98.25 96.19 97.74 100.61
|
||||
40000 97.89 98.44 100.09 101.01 99.01
|
||||
36
models/dist_memo/result_False_ok
Normal file
36
models/dist_memo/result_False_ok
Normal file
|
|
@ -0,0 +1,36 @@
|
|||
5000 15.18 15.54 15.22
|
||||
6000 17.27 17.73 17.4
|
||||
7000 20.47 21.03 19.92
|
||||
8000 22.71 22.41 22.08
|
||||
9000 24.95 24.82 24.94
|
||||
10000 26.67 26.66 26.8
|
||||
11000 29.57 29.92 29.71
|
||||
12000 31.83 31.43 32.56
|
||||
13000 34.8 34.85 34.82
|
||||
14000 37.55 37.39 37.65
|
||||
15000 38.97 39.0 39.29
|
||||
16000 40.17 40.88 41.35
|
||||
17000 46.76 45.51 46.27
|
||||
18000 45.96 46.62 46.37
|
||||
19000 48.92 49.85 49.38
|
||||
20000 50.06 50.58 51.54
|
||||
21000 54.36 55.07 53.52
|
||||
22000 56.19 56.55 56.26
|
||||
23000 57.82 57.76 58.56
|
||||
24000 60.06 61.01 61.1
|
||||
25000 64.29 64.46 64.52
|
||||
26000 67.18 67.03 67.66
|
||||
27000 67.59 67.31 67.45
|
||||
28000 70.37 71.05 70.13
|
||||
29000 75.45 74.93 75.21
|
||||
30000 76.2 76.94 75.85
|
||||
31000 77.41 77.36 78.22
|
||||
32000 81.05 79.34 81.38
|
||||
33000 83.35 83.67 83.53
|
||||
34000 84.01 84.0 84.18
|
||||
35000 86.61 87.8 87.9
|
||||
36000 89.79 89.58 89.51
|
||||
37000 92.08 92.72 92.35
|
||||
38000 95.61 95.45 94.77
|
||||
39000 97.01 98.25 97.74
|
||||
40000 100.09 101.01 99.01
|
||||
36
models/dist_memo/result_True
Normal file
36
models/dist_memo/result_True
Normal file
|
|
@ -0,0 +1,36 @@
|
|||
5000 11.62 11.08 11.05 11.15 11.27
|
||||
6000 12.58 12.56 12.8 12.55 12.7
|
||||
7000 13.92 14.15 14.39 14.12 14.35
|
||||
8000 15.51 15.62 15.68 15.54 15.4
|
||||
9000 16.99 17.26 16.93 17.45 17.21
|
||||
10000 18.71 18.83 18.72 18.94 18.71
|
||||
11000 20.04 20.32 20.71 20.26 20.14
|
||||
12000 21.93 21.74 22.0 21.57 21.7
|
||||
13000 23.1 23.02 23.26 23.37 23.61
|
||||
14000 24.79 24.44 25.34 24.62 24.91
|
||||
15000 26.61 26.41 26.2 26.11 26.61
|
||||
16000 27.66 28.83 28.48 28.42 27.78
|
||||
17000 30.09 29.33 29.24 29.84 29.38
|
||||
18000 30.88 31.52 31.4 31.31 30.47
|
||||
19000 33.11 32.86 32.81 32.59 32.25
|
||||
20000 33.96 33.91 33.92 33.83 33.63
|
||||
21000 35.65 35.44 36.26 35.23 35.59
|
||||
22000 37.02 37.04 37.43 37.24 37.89
|
||||
23000 38.6 38.86 39.58 39.7 38.88
|
||||
24000 40.63 40.31 40.78 40.29 40.62
|
||||
25000 42.83 41.28 42.15 41.49 41.94
|
||||
26000 44.15 43.5 43.61 43.39 43.24
|
||||
27000 45.0 45.0 44.95 45.19 44.69
|
||||
28000 47.12 47.1 46.74 47.57 47.79
|
||||
29000 48.32 48.14 48.57 48.88 49.2
|
||||
30000 49.55 49.27 49.67 49.9 49.56
|
||||
31000 51.39 51.82 51.84 51.18 51.91
|
||||
32000 52.6 53.69 53.2 52.7 53.56
|
||||
33000 56.58 54.43 55.21 54.64 54.26
|
||||
34000 55.75 55.04 56.31 56.51 56.72
|
||||
35000 59.16 58.69 57.37 58.75 57.54
|
||||
36000 58.63 60.15 59.23 59.5 59.46
|
||||
37000 60.1 61.19 61.32 62.12 61.16
|
||||
38000 62.84 63.24 61.88 62.21 62.32
|
||||
39000 64.48 64.07 64.94 64.02 63.84
|
||||
40000 65.98 67.58 65.87 65.84 66.06
|
||||
36
models/dist_memo/result_True_ok
Normal file
36
models/dist_memo/result_True_ok
Normal file
|
|
@ -0,0 +1,36 @@
|
|||
5000 11.08 11.05 11.15
|
||||
6000 12.58 12.56 12.55
|
||||
7000 14.15 14.12 14.35
|
||||
8000 15.51 15.62 15.54
|
||||
9000 16.99 16.93 17.21
|
||||
10000 18.71 18.72 18.71
|
||||
11000 20.32 20.26 20.14
|
||||
12000 21.93 21.74 21.7
|
||||
13000 23.1 23.02 23.26
|
||||
14000 24.79 24.44 24.62
|
||||
15000 26.61 26.41 26.61
|
||||
16000 28.83 28.48 28.42
|
||||
17000 29.33 29.24 29.38
|
||||
18000 31.52 31.4 31.31
|
||||
19000 32.86 32.81 32.59
|
||||
20000 33.96 33.91 33.92
|
||||
21000 35.65 35.44 35.59
|
||||
22000 37.02 37.04 37.24
|
||||
23000 38.6 38.86 38.88
|
||||
24000 40.63 40.78 40.62
|
||||
25000 41.28 41.49 41.94
|
||||
26000 43.5 43.39 43.24
|
||||
27000 45.0 45.0 44.95
|
||||
28000 47.12 47.1 46.74
|
||||
29000 48.32 48.14 48.57
|
||||
30000 49.55 49.67 49.56
|
||||
31000 51.82 51.84 51.91
|
||||
32000 53.69 53.2 53.56
|
||||
33000 54.43 54.64 54.26
|
||||
34000 56.31 56.51 56.72
|
||||
35000 58.69 58.75 57.54
|
||||
36000 59.23 59.5 59.46
|
||||
37000 61.19 61.32 61.16
|
||||
38000 62.84 62.21 62.32
|
||||
39000 64.48 64.07 64.02
|
||||
40000 65.98 65.87 65.84
|
||||
27
models/dist_memo/timer.py
Normal file
27
models/dist_memo/timer.py
Normal file
|
|
@ -0,0 +1,27 @@
|
|||
#!/bin/env python
|
||||
import sys
|
||||
sys.path.append("../../src/")
|
||||
|
||||
import time
|
||||
|
||||
sys.setrecursionlimit(10000)
|
||||
|
||||
loads = range(10000, 100000, 5000)
|
||||
iters = int(sys.argv[1])
|
||||
|
||||
import subprocess
|
||||
output = open('/tmp/output', 'w')
|
||||
|
||||
for memo in [True, False]:
|
||||
f = open("dist_memo/result_%s" % (memo), 'w')
|
||||
for load in loads:
|
||||
val = str(load)
|
||||
for _ in range(iters):
|
||||
command = "mpirun -np 2 python dist_memo/model.py %i %s"
|
||||
command = (command % (load, memo))
|
||||
start = time.time()
|
||||
subprocess.check_output(command, shell=True, stderr=output)
|
||||
val += " %s" % (round(time.time() - start, 2))
|
||||
f.write("%s\n" % (val))
|
||||
print(val)
|
||||
f.close()
|
||||
Loading…
Add table
Add a link
Reference in a new issue