Task #7807 (https://gna.org/task/index.php?7807): Speed-up of dispersion models for Clustered analysis.
This indeed shows that the efficiency has gone down:
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Checked on MacBook Pro
2.4 GHz Intel Core i5
8 GB 1067 Mhz DDR3 RAM.
Python Distribution -- Python 2.7.3 |EPD 7.3-2 (32-bit)|
Timing for:
3 fields, [600. * 1E6, 800. * 1E6, 900. * 1E6]
('sfrq: ', 600000000.0, 'number of cpmg frq', 15)
('sfrq: ', 800000000.0, 'number of cpmg frq', 20)
('sfrq: ', 900000000.0, 'number of cpmg frq', 22)
iterations of function call: 1000
Timed for simulating 1 or 100 clustered spins.
For TRUNK
1 spin:
ncalls tottime percall cumtime percall filename:lineno(function)
1 0.000 0.000 0.434 0.434 <string>:1(<module>)
1 0.001 0.001 0.434 0.434 pf:354(single)
1000 0.002 0.000 0.432 0.000 pf:340(calc)
1000 0.007 0.000 0.429 0.000 relax_disp.py:908(func_CR72_full)
1000 0.054 0.000 0.416 0.000 relax_disp.py:456(calc_CR72_chi2)
3000 0.256 0.000 0.300 0.000 cr72.py:100(r2eff_CR
100 spins:
ncalls tottime percall cumtime percall filename:lineno(function)
1 0.000 0.000 42.035 42.035 <string>:1(<module>)
1 0.002 0.002 42.035 42.035 pf:378(cluster)
1000 0.004 0.000 41.957 0.042 pf:340(calc)
1000 0.011 0.000 41.953 0.042 relax_disp.py:908(func_CR72_full)
1000 5.378 0.005 41.928 0.042 relax_disp.py:456(calc_CR72_chi2)
300000 25.942 0.000 30.276 0.000 cr72.py:100(r2eff_CR72)
300000 4.362 0.000 5.903 0.000 chi2.py:32(chi2)
TESTING
1 spin:
ncalls tottime percall cumtime percall filename:lineno(function)
1 0.000 0.000 0.792 0.792 <string>:1(<module>)
1 0.001 0.001 0.792 0.792 pf:354(single)
1000 0.002 0.000 0.789 0.001 pf:340(calc)
1000 0.011 0.000 0.787 0.001 relax_disp.py:966(func_CR72_full)
1000 0.187 0.000 0.769 0.001 relax_disp.py:457(calc_CR72_chi2)
26013 0.290 0.000 0.290 0.000 {numpy.core.multiarray.array}
1000 0.147 0.000 0.198 0.000 cr72.py:101(r2eff_CR72)
2001 0.002 0.000 0.086 0.000 numeric.py:167(asarray)
3000 0.045 0.000 0.062 0.000 chi2.py:32(chi2)
100 spins:
ncalls tottime percall cumtime percall filename:lineno(function)
1 0.000 0.000 46.821 46.821 <string>:1(<module>)
1 0.002 0.002 46.821 46.821 pf:378(cluster)
1000 0.004 0.000 46.744 0.047 pf:340(calc)
1000 0.017 0.000 46.740 0.047 relax_disp.py:966(func_CR72_full)
1000 15.422 0.015 46.708 0.047 relax_disp.py:457(calc_CR72_chi2)
1511904 23.475 0.000 23.475 0.000 {numpy.core.multiarray.array}
300000 4.175 0.000 5.668 0.000 chi2.py:32(chi2)
2001 0.004 0.000 4.804 0.002 numeric.py:167(asarray)
1000 0.010 0.000 2.438 0.002 fromnumeric.py:1774(amax)
1000 0.006 0.000 2.428 0.002 fromnumeric.py:32(_wrapit)
300000 0.353 0.000 1.493 0.000 fromnumeric.py:1379(sum)
1000 1.281 0.001 1.444 0.001 cr72.py:101(r2eff_CR72)
