Initial commit

models/dist_activity_synthetic/activity-log_AT

@@ -0,0 +1,44 @@
+2.5 0.000220108032227 0.182104873657 0.0933950424194
+9.0 0.118604183197 0.136581301689 0.125241190195
+17.5 0.165875673294 0.129406796561 0.0847219361199
+25.5 0.140835864203 0.14614037105 0.13109592029
+34.0 0.125926589966 0.13770210743 0.121652770042
+44.0 0.126041865349 0.104207253456 0.149581170082
+53.0 0.128831297159 0.125356644392 0.124603033066
+62.0 0.133014464378 0.125408744812 0.125269579887
+72.0 0.109709835052 0.145585775375 0.125529432297
+81.0 0.129592955112 0.130573868752 0.131571382284
+89.5 0.126680241691 0.127730104658 0.130481031206
+99.5 0.133457205512 0.128180092031 0.117670622739
+109.0 0.174166560173 0.135482281446 0.0790685117245
+116.5 0.144543988364 0.143870728356 0.118700027466
+125.0 0.132540392876 0.143304920197 0.120068049431
+134.5 0.12880982293 0.0999772018856 0.156275060442
+143.0 0.131946265697 0.126756280661 0.127258718014
+152.0 0.129507446289 0.123902726173 0.124925065041
+162.0 0.10719139576 0.145339655876 0.126072049141
+170.5 0.130162341254 0.134740591049 0.135777132852
+178.5 0.122417052587 0.125319136514 0.130025757684
+188.5 0.127645752647 0.125108350407 0.118008982052
+198.5 0.169632699755 0.130844963921 0.0797957844204
+207.0 0.135174781084 0.139287024736 0.118809878826
+216.0 0.128165340424 0.135707092285 0.122222709656
+225.5 0.126555071937 0.0947815577189 0.162814325756
+233.5 0.139553921563 0.13077041081 0.129268407822
+242.5 0.134252721613 0.129030336033 0.125064134598
+253.0 0.104313850403 0.156633996964 0.126202607155
+261.5 0.131185054779 0.13466320719 0.134300368173
+270.0 0.129102897644 0.135208296776 0.130160236359
+280.5 0.137819095091 0.13076376915 0.111695051193
+289.5 0.182719639369 0.140607186726 0.0802143301283
+296.5 0.138328858784 0.144302947181 0.122451611928
+306.0 0.12479788065 0.127465506395 0.123253603776
+316.0 0.130031466484 0.0911014676094 0.171381443739
+324.0 0.137785106897 0.122457295656 0.129235833883
+333.0 0.130798268318 0.121877384186 0.125465536118
+343.5 0.0995916670019 0.142808524045 0.124353365465
+353.0 0.122216522694 0.134111583233 0.133203417063
+362.0 0.121089982986 0.121542286873 0.130439090729
+372.0 0.142925906181 0.123450422287 0.107432317734
+381.0 0.133375763893 0.148666679859 0.129164367914
+390.0 0.123953914642 0.133184409142 0.1217908144

models/dist_activity_synthetic/activity-log_NO

@@ -0,0 +1,85 @@
+2.5 0.000198364257812 0.180332899094 0.0928029537201
+8.0 0.000294129053752 0.26751101017 0.134754856428
+14.0 0.000255743662516 0.326487382253 0.0982530911764
+19.5 0.000256538391113 0.341889238358 0.086644744873
+24.5 0.000265216827393 0.387375926971 0.0473928928375
+29.5 0.000340890884399 0.382603216171 0.0394519329071
+34.0 0.000401079654694 0.428702414036 0.00031840801239
+38.5 0.00035662651062 0.414940929413 0.000313663482666
+43.5 0.000416994094849 0.41569814682 0.000303506851196
+48.0 0.000347793102264 0.434117615223 0.000312805175781
+52.5 0.000363874435425 0.422448682785 0.000289058685303
+57.0 0.000356137752533 0.431815445423 0.000312626361847
+61.5 0.000302886962891 0.414598655701 0.000296545028687
+66.5 0.000294828414917 0.413453388214 0.000297164916992
+71.5 0.000353622436523 0.412895059586 0.000292921066284
+76.5 0.000322246551514 0.415892028809 0.000285768508911
+81.0 0.0017454624176 0.43055254221 0.000295102596283
+85.0 0.000438153743744 0.434577584267 0.000283598899841
+89.5 0.000390625 0.412695503235 0.000277376174927
+94.5 0.00036358833313 0.41817908287 0.000269746780396
+99.5 0.000275850296021 0.408336782455 0.000273036956787
+104.0 0.000257551670074 0.43680369854 0.000283539295197
+108.5 0.000336933135986 0.419739675522 0.000274324417114
+113.0 0.000379860401154 0.42929238081 0.000290334224701
+117.0 0.000306129455566 0.437380254269 0.000284016132355
+121.0 0.000362515449524 0.435981750488 0.000287711620331
+125.0 0.000261425971985 0.437896251678 0.000284492969513
+129.0 0.000342607498169 0.42898863554 0.000290095806122
+133.0 0.000526607036591 0.437649011612 0.000289082527161
+137.0 0.000451624393463 0.43560552597 0.000284433364868
+141.5 0.000339603424072 0.41804523468 0.000275707244873
+146.0 0.000335097312927 0.434910178185 0.000281393527985
+150.5 0.000310277938843 0.411667013168 0.000270318984985
+155.5 0.000287389755249 0.40929069519 0.000267601013184
+160.0 0.000323474407196 0.433193743229 0.000286877155304
+164.0 0.000375986099243 0.434395253658 0.00028258562088
+168.0 0.000414073467255 0.432915866375 0.000284433364868
+172.5 0.000313949584961 0.418871498108 0.000271892547607
+177.0 0.000393867492676 0.430916726589 0.000280976295471
+181.0 0.000419080257416 0.43475496769 0.000282824039459
+185.0 0.000267207622528 0.434233307838 0.000282108783722
+189.5 0.000256633758545 0.417384290695 0.00027904510498
+194.5 0.000370311737061 0.420564222336 0.000274896621704
+199.5 0.000469923019409 0.416340637207 0.000290441513062
+204.0 0.000391900539398 0.439996898174 0.000295162200928
+208.0 0.000433743000031 0.441814899445 0.000299215316772
+212.5 0.0003098487854 0.487604475021 0.000281429290771
+217.0 0.0006303191185 0.475297808647 0.000300824642181
+221.0 0.000459790229797 0.44917345047 0.000307500362396
+225.0 0.00039130449295 0.451607406139 0.000292181968689
+229.0 0.000275909900665 0.443854808807 0.000300228595734
+233.0 0.000315070152283 0.495716691017 0.000307619571686
+237.0 0.000389873981476 0.486922740936 0.000292837619781
+241.0 0.000397682189941 0.485219419003 0.000298500061035
+245.0 0.000426411628723 0.473201155663 0.000299036502838
+249.0 0.000398397445679 0.496797502041 0.000305831432343
+253.0 0.000383198261261 0.46874320507 0.000302493572235
+257.0 0.000388920307159 0.461508929729 0.000280439853668
+261.0 0.000389039516449 0.504287958145 0.000291168689728
+265.0 0.000372350215912 0.532555878162 0.000287652015686
+269.0 0.000369369983673 0.47523778677 0.00029069185257
+273.0 0.000374317169189 0.531225919724 0.000289559364319
+277.0 0.000344038009644 0.479292154312 0.000279605388641
+281.0 0.0181798934937 0.46661221981 0.000292837619781
+285.0 0.0439522266388 0.4655777812 0.000290155410767
+289.0 0.0484780073166 0.459563791752 0.000282287597656
+293.5 0.0850533008575 0.370040512085 0.000267314910889
+297.5 0.0957821210225 0.450095176697 0.000287055969238
+301.5 0.121516990662 0.406671905518 0.000263500213623
+306.5 0.142138147354 0.329133892059 0.000259399414062
+312.0 0.167650938034 0.302305380503 0.000257571538289
+317.5 0.186873579025 0.283949518204 0.000261116027832
+324.5 0.206888808144 0.208883921305 0.000242842568292
+334.5 0.252804127606 0.147170630368 0.000237920067527
+347.0 0.302551286561 0.0832516465868 0.000235370227269
+356.5 0.398879528046 0.052636384964 0.000294303894043
+361.5 0.428839635849 0.0284378051758 0.000318479537964
+366.0 0.469926595688 0.000254333019257 0.000322222709656
+370.5 0.450931835175 0.000261306762695 0.000335550308228
+375.5 0.446453285217 0.000298976898193 0.000316190719604
+380.5 0.436207342148 0.000280618667603 0.000330257415771
+385.5 0.430109453201 0.000281476974487 0.000316286087036
+390.0 0.448146224022 0.000300049781799 0.000338792800903
+394.0 0.442034482956 0.000296115875244 0.000287890434265
+397.5 0.460290431976 0.000364065170288 0.00029993057251

models/dist_activity_synthetic/allocator.py

@@ -0,0 +1,38 @@
+class MyAllocator(object):
+    """
+    Allocate all models at the start of the simulation. After this, model relocation is handed over to a relocator.
+    """
+    def allocate(self, models, edges, nrnodes, totalActivities):
+        """
+        Calculate allocations for the nodes, using the information provided.
+
+        :param models: the models to allocte
+        :param edges: the edges between the models
+        :param nrnodes: the number of nodes to allocate over. Simply an upper bound!
+        :param totalActivities: activity tracking information from each model
+        :returns: allocation that was found
+        """
+        # Return something of the form: {0: 0, 1: 0, 2: 0, 3: 1}
+        # To allocate model_ids 0, 1 and 2 to node 0 and model_id 3 to node 1
+        avgload = sum(totalActivities.values()) / nrnodes
+        alloc = {}
+        runningload = 0.0
+        currentnode = 0
+        for node, activity in totalActivities.items():
+            if runningload + (activity / 2) > avgload:
+                currentnode = (currentnode + 1) % nrnodes
+                runningload = 0.0
+            runningload += activity
+            alloc[node] = currentnode
+        return alloc
+
+    def getTerminationTime(self):
+        """
+        Returns the time it takes for the allocator to make an 'educated guess' of the advised allocation.
+        This time will not be used exactly, but as soon as the GVT passes over it. While this is not exactly 
+        necessary, it avoids the overhead of putting such a test in frequently used code.
+
+        :returns: float -- the time at which to perform the allocations (and save them)
+        """
+        # No need for any run time information means 0.0
+        return 2.0

models/dist_activity_synthetic/movingcircle.py

@@ -0,0 +1,115 @@
+import random
+import sys
+sys.path.append("../../src/")
+
+from DEVS import AtomicDEVS, CoupledDEVS
+
+from mpi4py import MPI
+
+class CircleNodeState(object):
+    def __init__(self):
+        self.event = None
+        self.queue = []
+        self.nr = 0
+        self.generated = 0
+
+    def copy(self):
+        a = CircleNodeState()
+        a.event = self.event
+        a.queue = list(self.queue)
+        a.nr = self.nr
+        a.generated = self.generated
+        return a
+
+    def __hash__(self):
+        return self.event + sum(self.queue)
+
+    def __eq__(self, other):
+        # For memoization
+        if self.event == other.event and self.queue == other.queue and self.nr == other.nr and self.generated == other.generated:
+            return True
+        else:
+            return False
+
+    def __str__(self):
+        return "%s (%s)" % (self.event, self.queue)
+
+class CircleNode(AtomicDEVS):
+    def __init__(self, nr, count, multiplier):
+        AtomicDEVS.__init__(self, "CircleNode" + str(nr))
+        self.inport = self.addInPort("input")
+        self.outport = self.addOutPort("output")
+        self.state = CircleNodeState()
+        #self.state.event = random.randint(2, 100)
+        self.state.nr = nr
+        self.state.generated = 0
+        self.state.event = nr
+        self.count = count
+        self.multiplier = multiplier
+
+    def intTransition(self):
+        if 0.6 * self.count < self.state.nr < 0.7 * self.count:
+            for _ in xrange(self.state.nr*self.multiplier):
+                pass
+        if self.state.queue:
+            self.state.event = self.state.queue.pop()
+        else:
+            self.state.event = None
+        self.state.generated += 1
+        if self.state.generated == 10:
+            self.state.nr = (self.state.nr + 1) % self.count
+            self.state.generated = 0
+        return self.state
+
+    def extTransition(self, inputs):
+        if self.state.event is None:
+            self.state.event = inputs[self.inport][0]
+        else:
+            self.state.queue.append(inputs[self.inport][0])
+        return self.state
+
+    def timeAdvance(self):
+        if self.state.event is None:
+            return float('inf')
+        else:
+            #return self.state.event
+            return 1.0
+
+    def outputFnc(self):
+        return {self.outport: [self.state.event]}
+
+class MovingCircle(CoupledDEVS):
+    def __init__(self, count, multiplier):
+        import math
+        CoupledDEVS.__init__(self, "Circle")
+        nodes = []
+        try:
+            from mpi4py import MPI
+            pernode = float(count) / MPI.COMM_WORLD.Get_size()
+        except ImportError:
+            pernode = float(count)
+        for i in range(count):
+            nodes.append(self.addSubModel(CircleNode(i, count, multiplier), math.floor(i/pernode)))
+        for index in range(len(nodes)):
+            self.connectPorts(nodes[index-1].outport, nodes[index].inport)
+
+if __name__ == "__main__":
+    random.seed(1)
+    from simulator import Simulator
+    model = MovingCircle(int(sys.argv[1]), int(sys.argv[2]))
+    sim = Simulator(model)
+    sim.setTerminationTime(int(sys.argv[3]))
+    #sim.setVerbose(True)
+    sim.setMessageCopy('none')
+    sim.setStateSaving('custom')
+    sim.setGVTInterval(1 if int(argv[1]) < 500 else 5)
+    from allocator import MyAllocator
+    sim.setInitialAllocator(MyAllocator())
+    #sim.setDrawModel(True, 'model.dot', True)
+    if sys.argv[4] == "True":
+        sim.setActivityRelocatorBasicBoundary(1.1)
+    sim.setMemoization(True)
+    sim.setSchedulerSortedList()
+    #sim.setActivityTracking(True)
+    #sim.setShowProgress()
+    sim.simulate()

models/dist_activity_synthetic/plot

@@ -0,0 +1,32 @@
+reset
+set terminal postscript enhanced colour portrait size 6,6
+set key top left
+set out 'dist_activity_synthetic.eps'
+set title "Simple activity relocation vs. no relocation (5 nodes)"
+set xlabel "Microseconds artificial load"
+set ylabel "Speedup"
+plot '/tmp/result_5_True' using (($1)/54):(($6)/(($2+$3+$4)/3)) title 'With activity relocation' w l, '/tmp/result_5_False' using (($1)/54):($6/(($2+$3+$4))) title 'Without activity relocation' w l
+
+set out 'dist_activity_synthetic_load_NO.eps'
+set title 'Synthetic load without relocation'
+set xlabel 'Simulation time'
+set ylabel 'Observed activity (s)'
+plot 'dist_activity_synthetic/activity-log_NO' using 1:($2) title 'Node 1' w l lw 5, '' using 1:($3) title 'Node 2' w l lw 5, '' using 1:($4) title 'Node 3' w l lw 5
+
+set out 'dist_activity_synthetic_load_AT.eps'
+set title 'Synthetic load with activity tracking'
+set xlabel 'Simulation time'
+set ylabel 'Observed activity (s)'
+plot 'dist_activity_synthetic/activity-log_AT' using 1:($2) title 'Node 1' w l lw 5, '' using 1:($3) title 'Node 2' w l lw 5, '' using 1:($4) title 'Node 3' w l lw 5
+
+set out 'dist_activity_synthetic_speedup.eps'
+set title "Speedup with and without activity relocation"
+set xlabel "Computation nodes"
+set ylabel "Speedup"
+plot 'dist_activity_synthetic/result_nodes_True' using 1:(5371/(($2+$3+$4)/3)) title 'Activity relocation' w l lw 5, 'dist_activity_synthetic/result_nodes_False' using 1:(5371/(($2+$3+$4)/3)) title 'No relocation' w l lw 5
+
+set out 'dist_activity_synthetic_50.eps'
+set title "Simple activity relocation vs. no relocation (50 nodes)"
+set xlabel "Microseconds artificial load"
+set ylabel "Speedup"
+plot '/tmp/result_50_True' using (($1)/54):((($6+$7+$8)/3)/(($2+$3+$4)/3)) title 'With activity relocation' w l, '/tmp/result_50_False' using (($1)/54):((($6+$7+$8)/3)/(($2+$3+$4))) title 'Without activity relocation' w l

models/dist_activity_synthetic/plot.sh

@@ -0,0 +1,5 @@
+paste dist_activity_synthetic/result_5_True dist_activity_synthetic/result_5_local > /tmp/result_5_True
+paste dist_activity_synthetic/result_5_False dist_activity_synthetic/result_5_local > /tmp/result_5_False
+#paste dist_activity_synthetic/result_50_True dist_activity_synthetic/result_50_local > /tmp/result_50_True
+#paste dist_activity_synthetic/result_50_False dist_activity_synthetic/result_50_local > /tmp/result_50_False
+gnuplot dist_activity_synthetic/plot

models/dist_activity_synthetic/result_30_True

@@ -0,0 +1,7 @@
+5000 86.203
+6000 93.045
+7000 106.477
+8000 127.103
+9000 135.101
+10000 149.617
+11000 163.985

models/dist_activity_synthetic/result_50_False

@@ -0,0 +1,25 @@
+5000 218.341068029 216.212660074 203.043926954
+6000 228.164988995 240.031370878 245.418283939
+7000 242.678237915 237.08642602 256.299677134
+8000 269.475946903 271.335959911 279.749504089
+9000 317.391763926 319.570595026 327.26787281
+10000 363.669466972 346.766951084 378.399319887
+11000 418.942600965 351.455626011 382.85464716
+12000 416.027841091 473.278229952 468.135915041
+13000 449.811432123 447.030043125 499.784992933
+14000 426.773957014 436.791079044 456.843092203
+15000 471.596997023 490.20233202 469.973987103
+16000 568.360106945 570.828665018 592.151080132
+17000 609.02011919 636.027021885 558.649226904
+18000 591.986929178 570.548024893 636.018925905
+19000 724.873071909 633.345487118 670.312558889
+20000 696.164077044 731.268852949 738.524857998
+21000 708.669167042 901.074270964 796.767655134
+22000 837.204790115 810.063322783 804.391721964
+23000 877.223140955 883.115068913 912.659464836
+24000 987.032071114 950.803104877 809.835482836
+25000 972.32427001 873.315254927 987.653218985
+26000 1035.62710595 1057.3292861 908.812786818
+27000 1126.41887593 1090.99641705 1033.9324801
+28000 1006.83631587 1134.34893298 990.460991144
+29000 1029.56464005 965.422312975 1228.69492888

models/dist_activity_synthetic/result_50_True

@@ -0,0 +1,25 @@
+5000 102.695871115 107.243849039 111.732126236
+6000 115.442557096 111.420768023 112.225580931
+7000 120.275017977 122.954688072 120.855772972
+8000 134.226042032 134.55546999 130.992986202
+9000 168.095864058 151.617656946 157.353914976
+10000 183.619045019 175.969532967 160.52740097
+11000 172.00357604 168.750247955 205.86146903
+12000 190.136723995 196.606661081 198.955000162
+13000 209.808018923 205.941678047 210.749876022
+14000 217.684717894 217.657816887 217.051644087
+15000 243.39921689 228.640567064 237.087605953
+16000 310.600727081 336.055822849 275.531701088
+17000 277.205467939 289.704303026 266.073758841
+18000 304.756576061 314.5514009 330.593177795
+19000 303.476767063 288.312615871 329.120454073
+20000 321.194902897 338.904273987 331.487878084
+21000 335.848731995 340.775434971 342.598091841
+22000 371.049196005 338.384214878 331.422207832
+23000 371.430547953 365.973088026 368.522454977
+24000 375.869647026 340.855777979 398.241880894
+25000 374.258087873 423.801176071 374.586101055
+26000 393.735162973 388.167378902 408.29076004
+27000 442.523834944 440.859385014 419.44006896
+28000 479.117385864 448.958978891 449.737302065
+29000 459.473080873 470.553967953 447.952148914

models/dist_activity_synthetic/result_5_False

@@ -0,0 +1,25 @@
+5000 34.4594130516 31.4607920647 30.4732069969
+6000 33.4877820015 34.448143959 33.5143198967
+7000 39.5065279007 39.4688968658 40.4722709656
+8000 43.4737179279 43.5581908226 43.6300210953
+9000 53.9117820263 50.5273449421 52.4511311054
+10000 53.4646649361 58.5445141792 63.5273649693
+11000 62.5262110233 66.5227880478 64.5572211742
+12000 64.5455029011 63.5429551601 65.5100572109
+13000 68.53039217 73.5626821518 68.549726963
+14000 70.5430650711 75.6022388935 68.5590240955
+15000 76.5949099064 73.5367929935 73.5393631458
+16000 82.5783178806 84.6070218086 91.5773670673
+17000 91.5737822056 96.5969350338 92.7038650513
+18000 98.6441698074 96.6009509563 89.5730550289
+19000 102.634485006 99.5864470005 95.6460490227
+20000 100.604066849 126.719990015 102.672016144
+21000 113.620511055 124.599315882 124.629219055
+22000 110.595020056 121.614670038 113.631548166
+23000 117.628712893 119.656537056 128.742251873
+24000 133.665678978 123.630280972 148.665294886
+25000 147.753806114 147.837951899 146.838895082
+26000 155.69064188 139.720133066 169.715267181
+27000 143.071497917 160.730426073 161.385114908
+28000 141.710097075 175.609637022 171.79659605
+29000 170.719704866 191.761321068 189.790666819

models/dist_activity_synthetic/result_5_True

@@ -0,0 +1,25 @@
+5000 22.2201480865 17.0561318398 13.5076010227
+6000 13.4857251644 13.4715950489 20.550041914
+7000 16.4697830677 15.4974398613 16.4930779934
+8000 16.4887831211 26.73310709 16.4469017982
+9000 18.4488711357 18.5473411083 19.4462409019
+10000 19.5175302029 20.5533599854 20.5331959724
+11000 21.5333490372 20.5401849747 20.5193390846
+12000 22.4718999863 21.5305941105 22.5029790401
+13000 23.5173139572 22.479818821 22.4744920731
+14000 24.5449099541 24.5228471756 24.5222129822
+15000 26.5563490391 26.6209299564 25.5407831669
+16000 28.5111989975 28.4782249928 28.4577240944
+17000 29.8100838661 28.5639929771 29.4549248219
+18000 30.6574878693 31.4998011589 30.4345400333
+19000 32.8209748268 32.8542709351 33.4620950222
+20000 35.580726862 35.5575320721 34.7901921272
+21000 35.5810959339 36.4791989326 35.5518209934
+22000 37.4578101635 37.4913098812 37.5916750431
+23000 40.902037859 40.8046050072 38.5237767696
+24000 40.6817550659 39.6165440083 39.6099259853
+25000 41.7899069786 41.757338047 45.7717058659
+26000 48.5678489208 47.9609799385 44.8357579708
+27000 47.0299091339 46.6856648922 46.6797540188
+28000 47.586714983 46.5418570042 46.6314740181
+29000 48.7777400017 49.799695015 45.5380129814

models/dist_activity_synthetic/result_5_local

@@ -0,0 +1,25 @@
+5000 25.670385917
+6000 30.6078152657
+7000 39.8227510452
+8000 40.6569390297
+9000 45.6739039421
+10000 50.7487792174
+11000 59.2882963022
+12000 60.5404839516
+13000 70.6515260537
+14000 71.303308328
+15000 76.490140756
+16000 80.7307026386
+17000 88.9916319847
+18000 92.5959153175
+19000 95.6301827431
+20000 104.214085976
+21000 105.539106607
+22000 110.70279034
+23000 115.461031357
+24000 120.521068176
+25000 131.760390282
+26000 130.691040357
+27000 150.080423594
+28000 140.586358309
+29000 149.057772716

models/dist_activity_synthetic/result_nodes_False

@@ -0,0 +1,47 @@
+3 2235.98525786 2241.42061186 2239.67296195
+4 1782.18455887 1800.66092014 1796.343894
+5 1528.93880296 1533.69088888 1531.458179
+6 1347.07484007 1400.34278607 1358.05674505
+7 1217.38951993 1224.75188208 1224.06127
+8 1127.93082905 1118.38119292 1121.95066381
+9 1044.40165997 1044.90843916 1044.70410013
+10 972.478423834 978.36395812 980.011813164
+11 953.171442986 962.681335211 958.002044916
+12 890.266263962 897.619251966 881.590488911
+13 898.308667183 919.957244873 894.709556103
+14 880.075351954 918.575129986 873.080352068
+15 823.534873962 818.33447504 822.653439999
+16 783.83154583 797.901921034 790.65171504
+17 844.721904039 849.948559046 788.453416824
+18 793.828963995 792.450037003 783.425228119
+19 1019.10114312 954.266947985 926.440397978
+20 730.99761796 733.40286994 771.666358948
+21 711.567430973 719.261476994 722.87690711
+22 827.496927977 819.792718887 752.737488031
+23 819.655396223 811.851325989 696.378617048
+24 811.515040159 829.748548985 822.623125076
+25 644.116644859 664.48943305 647.902778864
+26 660.260432959 671.761432886 673.970871925
+27 731.901946068 699.967737913 679.328577042
+28 772.239542961 767.50296402 766.367325068
+29 827.918077946 779.621546984 790.543331146
+30 618.497306108 618.995031118 619.600656033
+31 618.316702843 618.791949034 614.689287901
+32 641.600099802 631.657710075 638.723675966
+33 1082.70427084 997.808056831 780.564347029
+34 752.240505934 784.642968893 756.460554838
+35 859.94204998 934.661706924 708.610443115
+36 687.981174946 677.111431837 695.405463934
+37 839.875807047 775.421059132 795.388407946
+38 587.735980034 584.99642992 583.80658102
+39 592.995794058 595.538363934 589.576745033
+40 582.203334093 572.52503705 582.944280863
+41 575.389398098 600.894745827 576.240563869
+42 740.132120848 759.151836157 690.578798056
+43 1167.24468994 997.345279932 859.175218105
+44 804.965612888 749.376142979 696.427149057
+45 894.825032949 1009.91834998 1033.5712769
+46 636.853390932 639.539700985 655.667721033
+47 935.723767042 1324.06477284 1459.582232
+48 1136.40104604 802.571983099 741.184875011
+49 807.181529045 857.782059193 806.392597198

models/dist_activity_synthetic/result_nodes_True

@@ -0,0 +1,47 @@
+3 2065.55057192 2106.66153097 2060.32605696
+4 1571.38654804 1584.24099612 1541.85230803
+5 1328.71150899 1324.6962831 1330.12855601
+6 1196.03027797 1176.08151293 1171.57790208
+7 1066.73643398 1063.84630418 1051.88459206
+8 938.543613911 896.526536942 938.319551945
+9 804.971308947 825.758994818 823.592407942
+10 724.556020021 702.909558058 707.98572278
+11 652.542535067 715.642948866 665.939933062
+12 661.910281897 660.609669924 650.465514898
+13 641.672753096 628.31748414 643.891709089
+14 607.7389431 609.387393951 603.338206053
+15 550.664175987 546.948400021 551.858085155
+16 499.901604891 531.86310792 505.888711929
+17 481.812021971 487.174235106 535.432266951
+18 514.505225897 485.970355034 471.389649868
+19 463.912137032 446.220653057 445.303132057
+20 585.340610981 504.351191998 430.4313941
+21 415.15883112 418.940163136 414.140968084
+22 433.408858061 452.65240097 402.858666897
+23 493.704683065 510.783208132 502.247362137
+24 404.829730988 411.036066055 392.949627876
+25 360.64490509 362.724755049 397.624545097
+26 395.104635954 392.797114849 354.422852039
+27 415.383952141 498.844250917 540.211887836
+28 451.76489687 446.811604023 461.132509947
+29 410.061361074 448.258038044 442.754074812
+30 357.71787405 335.118900776 333.155451059
+31 354.120200157 412.825281143 412.123919964
+32 461.571337938 454.244483232 457.274065018
+33 445.594099998 469.389147997 363.542243004
+34 541.019289017 467.399881124 413.021318913
+35 504.647050858 447.936398983 509.98646903
+36 433.837987185 466.232741833 440.111504078
+37 432.017230988 376.286370993 363.180318117
+38 351.21725893 348.609113216 353.288779974
+39 373.832436085 379.789690018 375.467037916
+40 386.761991024 369.891330004 359.447088003
+41 367.534579992 386.925626993 384.62681222
+42 428.960325956 453.192011118 409.949900866
+43 500.127605915 460.878421068 441.614582062
+44 481.777785063 520.298825979 533.261512995
+45 571.883930922 590.947868109 563.585054874
+46 554.468532085 547.386512995 515.662167072
+47 558.503210068 526.180685997 557.399966955
+48 428.449804068 449.556237936 413.312390089
+49 413.848536968 394.904416084 405.24755311

models/dist_activity_synthetic/result_nodes_local

@@ -0,0 +1 @@
+2701

models/dist_activity_synthetic/timer.py

@@ -0,0 +1,78 @@
+#!/bin/env python
+import sys
+sys.path.append("../../src/")
+
+import time
+
+sys.setrecursionlimit(10000)
+
+loads = range(5000, 30000, 1000)
+termination_time = 200
+iters = int(sys.argv[1])
+
+import subprocess
+output = open('/tmp/output', 'w')
+for nodes, models in [(5, 150), (50, 900)]:
+    for relocator in [True, False]:
+        f = open("dist_activity_synthetic/result_%i_%s" % (nodes, relocator), 'w')
+        for load in loads:
+            f.write(str(load))
+            for _ in range(iters):
+                command = "mpirun -np %i -machinefile ~/machines python dist_activity_synthetic/movingcircle.py %i %i %i %s"
+                command = (command % (nodes, models, load, termination_time, relocator))
+                start = time.time()
+                subprocess.check_output(command, shell=True, stderr=output)
+                f.write(" %s" % (time.time() - start))
+                print("%i %s" % (load, time.time() - start))
+            f.write("\n")
+        f.close()
+    f = open("dist_activity_synthetic/result_%i_local" % nodes, 'w')
+    for load in loads:
+        f.write(str(load))
+        for _ in range(iters):
+            command = "python dist_activity_synthetic/movingcircle.py %i %i %i False"
+            command = (command % (models, load, termination_time))
+            start = time.time()
+            subprocess.check_output(command, shell=True, stderr=output)
+            f.write(" %s" % (time.time() - start))
+            print("%i %s" % (load, time.time() - start))
+        f.write("\n")
+    f.close()
+
+for relocator in [True, False]:
+    load = 10000
+    models = 1500
+    termination_time = 200
+    f = open("dist_activity_synthetic/result_nodes_%s" % relocator, 'w')
+    for nodes in range(3, 50):
+        for _ in range(iters):
+            command = "mpirun -np %i -machinefile ~/machines python dist_activity_synthetic/movingcircle.py %i %i %i %s"
+            command = (command % (nodes, models, load, termination_time, relocator))
+            start = time.time()
+            subprocess.check_output(command, shell=True, stderr=output)
+            f.write(" %s" % (time.time() - start))
+            print("%i %s" % (nodes, time.time() - start))
+        f.write("\n")
+        f.close()
+    f = open("dist_activity_synthetic/result_nodes_local", 'w')
+    f.write("1")
+    for _ in range(iters):
+        command = "python dist_activity_synthetic/movingcircle.py %i %i %i False"
+        command = (command % (models, load, termination_time))
+        start = time.time()
+        subprocess.check_output(command, shell=True, stderr=output)
+        f.write(" %s" % (time.time() - start))
+        print("1 %s" % (time.time() - start))
+    f.write("\n")
+    f.close()
+
+for relocator in [True, False]:
+    try:
+        import os
+        os.remove("activity-log")
+    except OSError:
+        pass
+    # Put the load rather high, to create a nice 'bad' distribution
+    subprocess.check_output("mpirun -np 3 -machinefile ~/machines python dist_activity_synthetic/movingcircle.py 100 30000 400 " + str(relocator), shell=True, stderr=output)
+    import shutil
+    shutil.move("activity-log", "dist_activity_synthetic/activity-log_" + str("AT" if relocator else "NO"))