Anyone with Core i7 and Ubuntu 10.04?
I'm wondering if anyone here has successfully built numpy with ATLAS and a Core i7 CPU on Ubuntu 10.04. If so, I could really use your help. I've been trying since August (see my earlier messages to this list) to get numpy running at full speed on my machine with no luck. The Ubuntu packages don't seem very fast, and numpy won't use the version of ATLAS that I compiled. It's pretty sad; anything that involves a lot of BLAS calls runs slower on this 2.8 ghz Core i7 than on an older 2.66 ghz Core 2 Quad I use at work.
Hi Ian, On 11/08/2010 11:18 PM, Ian Goodfellow wrote:
I'm wondering if anyone here has successfully built numpy with ATLAS and a Core i7 CPU on Ubuntu 10.04. If so, I could really use your help. I've been trying since August (see my earlier messages to this list) to get numpy running at full speed on my machine with no luck.
Please tell us what error you got - saying that something did not working is really not useful to help you. You need to say exactly what fails, and which steps you followed before that failure.
The Ubuntu packages don't seem very fast, and numpy won't use the version of ATLAS that I compiled. It's pretty sad; anything that involves a lot of BLAS calls runs slower on this 2.8 ghz Core i7 than on an older 2.66 ghz Core 2 Quad I use at work.
One simple solution is to upgrade to ubuntu 10.10, which has finally a working atlas package, thanks to the work of the debian packagers. There is a version compiled for i7, cheers, David
On 2010-11-08, at 8:52 PM, David wrote:
Please tell us what error you got - saying that something did not working is really not useful to help you. You need to say exactly what fails, and which steps you followed before that failure.
I think what he means is that it's very slow, there's no discernable error but dot-multiplies don't seem to be using BLAS. David
On Mon, Nov 8, 2010 at 11:33 PM, David Warde-Farley
On 2010-11-08, at 8:52 PM, David wrote:
Please tell us what error you got - saying that something did not working is really not useful to help you. You need to say exactly what fails, and which steps you followed before that failure.
I think what he means is that it's very slow, there's no discernable error but dot-multiplies don't seem to be using BLAS.
David _______________________________________________ NumPy-Discussion mailing list NumPy-Discussion@scipy.org http://mail.scipy.org/mailman/listinfo/numpy-discussion
Somewhat related topic: anyone know the status of EPD (Enthought distribution) releases on i7 processors as far as this goes?
Yes, that's pretty much the situation. I'm mostly looking for someone
who has satisfactory performance with their Core i7 so I can get some
comparison information and figure out if I need to disable
hyperthreading or compile atlas with different flags or what.
Are the Ubuntu 10.10 atlas packages actually different from the Ubuntu
10.04 atlas packages?
Depending on how I install I can get different error messages.
If I install the atlas packages in Ubuntu 10.04 I get slow performance
relative to other Core i7 or even Core 2 Quad machines with lower
clock rates that are available to me at work.
If I compile my own atlas and try to build numpy with site.cfg I get
one set of error messages that I've sent to the list before.
If I compile my own atlas and try to build numpy with environment
variables specifying the location of ATLAS, the environment variables
get ignored and it is built without atlas.
If I compile my own atlas and put symlinks to it in the default search
places, I get numpy libraries that ldd shows as linking to atlas but
still get slow peformance.
On Mon, Nov 8, 2010 at 11:33 PM, David Warde-Farley
On 2010-11-08, at 8:52 PM, David wrote:
Please tell us what error you got - saying that something did not working is really not useful to help you. You need to say exactly what fails, and which steps you followed before that failure.
I think what he means is that it's very slow, there's no discernable error but dot-multiplies don't seem to be using BLAS.
David _______________________________________________ NumPy-Discussion mailing list NumPy-Discussion@scipy.org http://mail.scipy.org/mailman/listinfo/numpy-discussion
participants (4)
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David -
David Warde-Farley -
Ian Goodfellow -
Wes McKinney