[Numpy-discussion] testing with amd libm/acml

2012-11-07 Thread Neal Becker
I'm trying to do a bit of benchmarking to see if amd libm/acml will help me. I got an idea that instead of building all of numpy/scipy and all of my custom modules against these libraries, I could simply use:

Re: [Numpy-discussion] testing with amd libm/acml

2012-11-07 Thread David Cournapeau
On Wed, Nov 7, 2012 at 12:35 PM, Neal Becker ndbeck...@gmail.com wrote: I'm trying to do a bit of benchmarking to see if amd libm/acml will help me. I got an idea that instead of building all of numpy/scipy and all of my custom modules against these libraries, I could simply use:

Re: [Numpy-discussion] testing with amd libm/acml

2012-11-07 Thread Neal Becker
David Cournapeau wrote: On Wed, Nov 7, 2012 at 12:35 PM, Neal Becker ndbeck...@gmail.com wrote: I'm trying to do a bit of benchmarking to see if amd libm/acml will help me. I got an idea that instead of building all of numpy/scipy and all of my custom modules against these libraries, I could

Re: [Numpy-discussion] testing with amd libm/acml

2012-11-07 Thread David Cournapeau
On Wed, Nov 7, 2012 at 1:56 PM, Neal Becker ndbeck...@gmail.com wrote: David Cournapeau wrote: On Wed, Nov 7, 2012 at 12:35 PM, Neal Becker ndbeck...@gmail.com wrote: I'm trying to do a bit of benchmarking to see if amd libm/acml will help me. I got an idea that instead of building all of

Re: [Numpy-discussion] testing with amd libm/acml

2012-11-07 Thread Neal Becker
David Cournapeau wrote: On Wed, Nov 7, 2012 at 1:56 PM, Neal Becker ndbeck...@gmail.com wrote: David Cournapeau wrote: On Wed, Nov 7, 2012 at 12:35 PM, Neal Becker ndbeck...@gmail.com wrote: I'm trying to do a bit of benchmarking to see if amd libm/acml will help me. I got an idea that

Re: [Numpy-discussion] testing with amd libm/acml

2012-11-07 Thread Neal Becker
David Cournapeau wrote: On Wed, Nov 7, 2012 at 1:56 PM, Neal Becker ndbeck...@gmail.com wrote: David Cournapeau wrote: On Wed, Nov 7, 2012 at 12:35 PM, Neal Becker ndbeck...@gmail.com wrote: I'm trying to do a bit of benchmarking to see if amd libm/acml will help me. I got an idea that

Re: [Numpy-discussion] testing with amd libm/acml

2012-11-07 Thread Dag Sverre Seljebotn
On 11/07/2012 03:30 PM, Neal Becker wrote: David Cournapeau wrote: On Wed, Nov 7, 2012 at 1:56 PM, Neal Becker ndbeck...@gmail.com wrote: David Cournapeau wrote: On Wed, Nov 7, 2012 at 12:35 PM, Neal Becker ndbeck...@gmail.com wrote: I'm trying to do a bit of benchmarking to see if amd

Re: [Numpy-discussion] strange behavior of numpy.unique

2012-11-07 Thread josef . pktd
On Tue, Nov 6, 2012 at 9:52 PM, Warren Weckesser warren.weckes...@gmail.com wrote: On Tue, Nov 6, 2012 at 8:27 PM, Phillip Feldman phillip.m.feld...@gmail.com wrote: numpy.unique behaves as I would expect for small inputs like the following: In [12]: x= [0, 0, 1, 0, 1, 2, 0, 1, 2, 3] In

Re: [Numpy-discussion] strange behavior of numpy.unique

2012-11-07 Thread Warren Weckesser
On Wed, Nov 7, 2012 at 11:24 AM, josef.p...@gmail.com wrote: On Tue, Nov 6, 2012 at 9:52 PM, Warren Weckesser warren.weckes...@gmail.com wrote: On Tue, Nov 6, 2012 at 8:27 PM, Phillip Feldman phillip.m.feld...@gmail.com wrote: numpy.unique behaves as I would expect for small inputs

Re: [Numpy-discussion] testing with amd libm/acml

2012-11-07 Thread Neal Becker
Would you expect numexpr without MKL to give a significant boost? ___ NumPy-Discussion mailing list NumPy-Discussion@scipy.org http://mail.scipy.org/mailman/listinfo/numpy-discussion

Re: [Numpy-discussion] strange behavior of numpy.unique

2012-11-07 Thread Charles R Harris
On Tue, Nov 6, 2012 at 7:52 PM, Warren Weckesser warren.weckes...@gmail.com wrote: On Tue, Nov 6, 2012 at 8:27 PM, Phillip Feldman phillip.m.feld...@gmail.com wrote: numpy.unique behaves as I would expect for small inputs like the following: In [12]: x= [0, 0, 1, 0, 1, 2, 0, 1, 2, 3]

Re: [Numpy-discussion] testing with amd libm/acml

2012-11-07 Thread Chris Barker
On Wed, Nov 7, 2012 at 11:41 AM, Neal Becker ndbeck...@gmail.com wrote: Would you expect numexpr without MKL to give a significant boost? It can, depending on the use case: -- It can remove a lot of uneccessary temporary creation. -- IIUC, it works on blocks of data at a time, and thus can