Hi, win32 do not mean it is a 32 bits windows. sys.platform always return win32 on 32bits and 64 bits windows even for python 64 bits.
But that is a good question, is your python 32 or 64 bits? Fred On Wed, Mar 20, 2013 at 10:14 AM, Daπid <davidmen...@gmail.com> wrote: > Without much detailed knowledge of the topic, I would expect both > versions to give very similar timing, as it is essentially a call to > ATLAS function, not much is done in Python. > > Given this, maybe the difference is in ATLAS itself. How have you > installed it? When you compile ATLAS, it will do some machine-specific > optimisation, but if you have installed a binary chances are that your > version is optimised for a machine quite different from yours. So, two > different installations could have been compiled in different machines > and so one is more suited for your machine. If you want to be sure, I > would try to compile ATLAS (this may be difficult) or check the same > on a very different machine (like an AMD processor, different > architecture...). > > > > Just for reference, on Linux Python 2.7 64 bits can deal with these > matrices easily. > > %timeit mat=np.random.random((6143,6143)); matinv= np.linalg.inv(mat); > res = np.dot(mat, matinv); diff= res-np.eye(6143); print > np.sum(np.abs(diff)) > 2.41799631031e-05 > 1.13955868701e-05 > 3.64338191541e-05 > 1.13484781021e-05 > 1 loops, best of 3: 156 s per loop > > Intel i5, 4 GB of RAM and SSD. ATLAS installed from Fedora repository > (I don't run heavy stuff on this computer). > > On 20 March 2013 14:46, Colin J. Williams <c...@ncf.ca> wrote: >> I have a small program which builds random matrices for increasing matrix >> orders, inverts the matrix and checks the precision of the product. At some >> point, one would expect operations to fail, when the memory capacity is >> exceeded. In both Python 2.7 and 3.2 matrices of order 3,071 area handled, >> but not 6,143. >> >> Using wall-clock times, with win32, Python 3.2 is slower than Python 2.7. >> The profiler indicates a problem in the solver. >> >> Done on a Pentium, with 2.7 GHz processor, 2 GB of RAM and 221 GB of free >> disk space. Both Python 3.2.3 and Python 2.7.3 use numpy 1.6.2. >> >> The results are show below. >> >> Colin W. >> >> aaaa_ssss >> 2.7.3 (default, Apr 10 2012, 23:31:26) [MSC v.1500 32 bit (Intel)] >> order= 2 measure ofimprecision= 0.097 Time elapsed (seconds)= >> 0.004143 >> order= 5 measure ofimprecision= 2.207 Time elapsed (seconds)= >> 0.001514 >> order= 11 measure ofimprecision= 2.372 Time elapsed (seconds)= >> 0.001455 >> order= 23 measure ofimprecision= 3.318 Time elapsed (seconds)= >> 0.001608 >> order= 47 measure ofimprecision= 4.257 Time elapsed (seconds)= >> 0.002339 >> order= 95 measure ofimprecision= 4.986 Time elapsed (seconds)= >> 0.005747 >> order= 191 measure ofimprecision= 5.788 Time elapsed (seconds)= >> 0.029974 >> order= 383 measure ofimprecision= 6.765 Time elapsed (seconds)= >> 0.145339 >> order= 767 measure ofimprecision= 7.909 Time elapsed (seconds)= >> 0.841142 >> order= 1535 measure ofimprecision= 8.532 Time elapsed (seconds)= >> 5.793630 >> order= 3071 measure ofimprecision= 9.774 Time elapsed (seconds)= >> 39.559540 >> order= 6143 Process terminated by a MemoryError >> >> Above: 2.7.3 Below: Python 3.2.3 >> >> bbb_bbb >> 3.2.3 (default, Apr 11 2012, 07:15:24) [MSC v.1500 32 bit (Intel)] >> order= 2 measure ofimprecision= 0.000 Time elapsed (seconds)= >> 0.113930 >> order= 5 measure ofimprecision= 1.807 Time elapsed (seconds)= >> 0.001373 >> order= 11 measure ofimprecision= 2.395 Time elapsed (seconds)= >> 0.001468 >> order= 23 measure ofimprecision= 3.073 Time elapsed (seconds)= >> 0.001609 >> order= 47 measure ofimprecision= 5.642 Time elapsed (seconds)= >> 0.002687 >> order= 95 measure ofimprecision= 5.745 Time elapsed (seconds)= >> 0.013510 >> order= 191 measure ofimprecision= 5.866 Time elapsed (seconds)= >> 0.061560 >> order= 383 measure ofimprecision= 7.129 Time elapsed (seconds)= >> 0.418490 >> order= 767 measure ofimprecision= 8.240 Time elapsed (seconds)= >> 3.815713 >> order= 1535 measure ofimprecision= 8.735 Time elapsed (seconds)= >> 27.877270 >> order= 3071 measure ofimprecision= 9.996 Time elapsed >> (seconds)=212.545610 >> order= 6143 Process terminated by a MemoryError >> >> >> >> _______________________________________________ >> NumPy-Discussion mailing list >> NumPy-Discussion@scipy.org >> http://mail.scipy.org/mailman/listinfo/numpy-discussion >> > _______________________________________________ > NumPy-Discussion mailing list > NumPy-Discussion@scipy.org > http://mail.scipy.org/mailman/listinfo/numpy-discussion _______________________________________________ NumPy-Discussion mailing list NumPy-Discussion@scipy.org http://mail.scipy.org/mailman/listinfo/numpy-discussion
