4 # @purpose Extract statistics from repeated runs of N-Body simulators and graph them
5 # @author Sam Moore (20503628) - 2012
6 # Not documented very well, because it's not part of the task requirements
7 # Mostly to get a different graph I just comment out a lot of lines and uncomment others. Well designed.
14 import Gnuplot, Gnuplot.funcutils
15 plot = Gnuplot.Gnuplot(persist=0)
17 programs = odict.odict([("single-thread" , "./single-thread/nbody -g")])
19 for n in range(4, 5, 1):
20 programs.update({"mthread"+str(n) : "./mthread/nbody -g -n "+str(n)})
21 programs.update({"openmp"+str(n) : "./openmp/nbody -g -n " +str(n)})
22 for theta in [0.1, 1.0, 10.0]:
23 programs.update({"nbody-bh"+str(n)+":theta"+str(theta) : "./nbody-bh/nbody -g -n "+str(n)+" --theta " + str(theta)})
29 def RunProgram(string):
30 p = subprocess.Popen(string.split(" "), stdout=subprocess.PIPE)
33 results.append(map(float, line.strip(" \r\n\t").split("\t")))
34 results.sort(key = lambda e : e[0])
37 def RunForSteps(program, field, steps):
39 print(str(program) + " -s "+str(steps) + " -v 5 " + str(field))
40 results = RunProgram(str(program) + " -s "+str(steps) + " -v 5 " + str(field))
43 def VaryField(program, steps, fields):
46 results.append(RunProgram(program + " -s " +str(steps) + " " + str(field)))
49 def VaryTime(program, field, time_min, time_max, time_inc=10):
51 for t in range(time_min, time_max, time_inc):
52 results.append(RunProgram(program + " -t "+str(t) + " " + str(field)))
56 plot("set xlabel \"steps\"")
57 plot("set ylabel \"real time (s)\"")
58 plot("set title \"Time .vs. Steps Computed\"")
59 plot("set key outside right")
63 Plot_PerformanceN(data, 10, 1, 3000, 100)
66 fields = map(int, os.listdir("fields"))
67 fields.sort(key = lambda e : e)
74 #Plot_MeanErrors(programs["single-thread"], programs[p], "fields/"+str(n), 0, 100)
75 data[p] = RunForSteps(programs[p], "fields/"+str(n), 200)
78 #print(str(data.items()));
79 for d in sorted(data.items(), key = lambda e : e[1][len(e[1])-1][1]):
81 plot.replot(Gnuplot.Data(d[1], title=str(d[0])+":"+str(n), with_="lp")) #linecolor "+str(fields.index(n))))
83 #print(str(data.items()))
86 #for p in sorted(data.items(), key = lambda e : e[1][0][len(e[1][0])-1][1]):
87 # print(str(p[0])+":"+str(n)+"\t"+str(p[1][0][len(p[1][0])-1][1]))
92 def Plot_MeanErrors(control, program, field, sMin, sMax):
93 plot("set xlabel \"steps\"")
94 plot("set ylabel \"Error\"")
95 plot("set title \"Mean Position Error .vs. Steps\\n(Mean Error = Mean absolute error of all position components)\\nField: "+str(field)+"\"")
96 plot("set key outside right")
98 if (control == program):
101 for s in range(sMin, sMax, (sMax - sMin) / 20):
102 d.append([s, MeanError(control, program, field, s)])
104 plot.replot(Gnuplot.Data(d, title=str(program), with_="lp")) #linecolor "+str(fields.index(n))))
106 def Plot_PerformanceN(d, steps, nMin, nMax, nStep):
108 plot("set xlabel \"N bodies\"")
109 plot("set ylabel \"Real Time (s)\"")
110 plot("set title \"Time taken to simulate N randomly generated bodies for 1000 steps\"")
111 plot("set key outside right")
114 for n in range(nMin, nMax, nStep):
115 print("Run for " + str(n) + " bodies; " + str(p[1]))
116 r = RunProgram(str(p[1]) + " -r " + str(n) + " -s " + str(steps))
117 data.append([n, r[len(r)-1][1]])
118 plot.replot(Gnuplot.Data(data, title=str(p[0]), with_="lp"))
120 def MeanError(programA, programB, field, steps):
121 print("Calculate error for "+str(steps) + " steps: " + str(programB) + " .vs. " + str(programA))
122 RunProgram(str(programA) + " -s "+str(steps) + " " + str(field) + " " + "A.tmp")
123 RunProgram(str(programB) + " -s "+str(steps) + " " + str(field) + " " + "B.tmp")
125 A = open("A.tmp", "r", 0)
126 B = open("B.tmp", "r", 0)
128 nA = int(A.readline().strip("\r\n\t "))
129 nB = int(B.readline().strip("\r\n\t "))
131 sys.stderr.write("Body number error; A: " + str(nA) + " vs B: " + str(nB) + "\n")
136 for i in range(0, nA):
137 dataA = A.readline().strip("\r\n\t ").split(" ")
138 dataB = B.readline().strip("\r\n\t ").split(" ")
139 #print("A: "+str(dataA))
140 #print("B: "+str(dataB))
141 dataA = map(float, dataA)[1:4] # Only count positions
142 dataB = map(float, dataB)[1:4]
143 #print("Length " + str(len(dataA)))
144 if (len(dataB) != len(dataA)):
145 sys.stderr.write("Number of values in line are different\n")
151 for j in range(0, len(dataA)-1):
152 total_error += abs(dataB[j] - dataA[j])
153 os.system("rm A.tmp; rm B.tmp;")
154 return total_error / values
156 if __name__ == "__main__":
157 sys.exit(main(sys.argv))