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#-------------------------------------------------------------------------------
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# Driver code that the client runs.
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#-------------------------------------------------------------------------------
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# To run this code start a controller and engines using:
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# ipcluster -n 2
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# Then run the scripts by doing irunner rmt.ipy or by starting ipython and
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# doing run rmt.ipy.
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from rmtkernel import *
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from IPython.kernel import client
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def wignerDistribution(s):
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"""Returns (s, rho(s)) for the Wigner GOE distribution."""
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return (numpy.pi*s/2.0) * numpy.exp(-numpy.pi*s**2/4.)
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def generateWignerData():
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s = numpy.linspace(0.0,4.0,400)
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rhos = wignerDistribution(s)
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return s, rhos
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def serialDiffs(num, N):
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diffs = ensembleDiffs(num, N)
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normalizedDiffs = normalizeDiffs(diffs)
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return normalizedDiffs
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def parallelDiffs(rc, num, N):
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nengines = len(rc.get_ids())
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num_per_engine = num/nengines
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print "Running with", num_per_engine, "per engine."
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rc.push(dict(num_per_engine=num_per_engine, N=N))
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rc.execute('diffs = ensembleDiffs(num_per_engine, N)')
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# gather blocks always for now
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pr = rc.gather('diffs')
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return pr.r
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# Main code
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if __name__ == '__main__':
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rc = client.MultiEngineClient()
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print "Distributing code to engines..."
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r = rc.run('rmtkernel.py')
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rc.block = False
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# Simulation parameters
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nmats = 100
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matsize = 30
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%timeit -n1 -r1 serialDiffs(nmats,matsize)
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%timeit -n1 -r1 parallelDiffs(rc, nmats, matsize)
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# Uncomment these to plot the histogram
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# import pylab
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# pylab.hist(parallelDiffs(rc,matsize,matsize))
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