rs = RiemannSolver(timeSteps = max_timeSteps/noOfTestSamples, mwaves = 2, mx=max_mx , meqn = 2, maux = 2)  


rs.q = random.random((rs.meqn,rs.mx))
rs.aux = random.random((rs.maux,rs.mx))

j = 0
for i in range(max_timeSteps/noOfTestSamples, max_timeSteps, max_timeSteps/noOfTestSamples):
	timesStepsValues[j] = i
	rs.timeSteps = i
	print
	print "Iteration",j+1,"of", noOfTestSamples
	print "Number of time steps is", i
	
	waves1, s1  = rs.solveVectorized(timer = True)
	timeResultsVectorized[j] = rs.elapsedTime
	
	
	
	waves2, s2  = rs.solvePointwize(timer = True)
	timeResultsPointwise[j] = rs.elapsedTime
	
	
	j= j+1
示例#2
0
# error when max_mx is devisible by noOfTestSamples. size of arrays should be noOfTestSamples-1, use j to decide what to plot

rs = RiemannSolver(timeSteps=max_timeSteps / noOfTestSamples,
                   mwaves=2,
                   mx=max_mx,
                   meqn=2,
                   maux=2)

rs.q = random.random((rs.meqn, rs.mx))
rs.aux = random.random((rs.maux, rs.mx))

j = 0
for i in range(max_timeSteps / noOfTestSamples, max_timeSteps,
               max_timeSteps / noOfTestSamples):
    timesStepsValues[j] = i
    rs.timeSteps = i
    print()
    print("Iteration", j + 1, "of", noOfTestSamples)
    print("Number of time steps is", i)

    waves1, s1 = rs.solveVectorized(timer=True)
    timeResultsVectorized[j] = rs.elapsedTime

    waves2, s2 = rs.solvePointwize(timer=True)
    timeResultsPointwise[j] = rs.elapsedTime

    j = j + 1

figure(1)
suptitle(
    "Figure 1 shows the the execution time for different timeStep values\n for the vectorized solver in green and pointwize solver in blue"