[Numpy-discussion] Atlas and dual core

[Steve Lianoglou]

Hi Keith,

I don't have any answers for you but ...

1) Did you install ubuntu by way of Parallels, or are you running  
linux "full steam"

2) If you did install ubuntu alongside/over/whatever mac os x and  
didn't use parallels .. are there any links you can share w/ a few  
tutorials? Is everything (else: like hardware support) working well?  
(Maybe off list since it's OT -- but maybe others are interested)

3) If you still have your Mac OS X partition lying around, the full r- 
platform installer [1] for the mac comes with an installer for a  
threaded compile of ATLAS (specidifally for the intel duo's ..  
somehow) so maybe you'd like to try to use that and save yourself  
some time ... but perhaps that whole malloc vs dmalloc report [2]  
might apply to this as well ... which I guess would suggest to use  
linux for maximal performance (refer to q 2 :-)

-steve


[1] : http://cran.r-project.org/bin/macosx/
[2] : http://sekhon.berkeley.edu/macosx/intel.html


On Jul 14, 2006, at 9:22 PM, Keith Goodman wrote:

> Is there much speed to be gained by compiling atlas for a dual core  
> system?
>
> I'm running Ubuntu on a Macbook. It's the first time I've had a dual
> core system.
>
> My one line benchmark shows that the Macbook is slow compared to my
> (old) desktop.
>
>>> t1=time.time();x=randn(500,1000);x =
> x*x.T;a,b=linalg.eigh(x);t2=time.time();print t2-t1
> 1.31429600716
>
> My desktop is less than half of that.
>
>
> ---------------------------------------------------------------------- 
> ---
> Using Tomcat but need to do more? Need to support web services,  
> security?
> Get stuff done quickly with pre-integrated technology to make your  
> job easier
> Download IBM WebSphere Application Server v.1.0.1 based on Apache  
> Geronimo
> http://sel.as-us.falkag.net/sel? 
> cmd=lnk&kid=120709&bid=263057&dat=121642
> _______________________________________________
> Numpy-discussion mailing list
> Numpy-discussion at lists.sourceforge.net
> https://lists.sourceforge.net/lists/listinfo/numpy-discussion