[Beowulf] x86-64 NUMA vs SMP kernel: appl. performance?
Robert G. Brown
rgb at phy.duke.edu
Fri Sep 24 17:47:40 EDT 2004
On Fri, 24 Sep 2004, Greg Lindahl wrote:
> On Fri, Sep 24, 2004 at 03:04:05PM -0400, Robert G. Brown wrote:
> > What compilers have you tried, and what improvements do they
> > produce?
> As you might recall, I do work for a compiler company, so obviously that
> should be kept in mind. The 3 apps mentioned by the original poster
Impressive results nonetheless (and besides, I trust your honesty).
Since your customers are reporting them, I would assume that they are
just swapping the compilers in and out and not necessarily doing lots of
compiler specific tuning.
Are these fortran or C results (or do you know)? And how much do the
compilers cost (and how do the costs scale over a cluster)?
> are Gaussian, Gamess, and NWChem.
> For NWChem we have a customer who reported this number for one dataset:
> | Opteron-2.2+portland group:
> | Total times cpu: 635.6s wall: 636.6
> | Opteron-2.2+pathscale-1.1:
> | Total times cpu: 514.4s wall: 515.5s
> | Opteron-2.2+pathscale-1.2:
> | Total times cpu: 480.8s wall: 482.3s
> So that's 32% better wall time for this dataset.
> Here's a customer-reported result for GAMESS:
> > path CPU= 1 CPUTime= 124.84s WallTime= 126.10s
> > ifort CPU= 1 CPUTime= 148.10s WallTime= 148.20s
> > pgi CPU= 1 CPUTime= 224.17s WallTime= 225.60s
> I can't seem to find a customer-reported result for Gaussian, although
> several of our customers are running it.
> -- greg
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Robert G. Brown http://www.phy.duke.edu/~rgb/
Duke University Dept. of Physics, Box 90305
Durham, N.C. 27708-0305
Phone: 1-919-660-2567 Fax: 919-660-2525 email:rgb at phy.duke.edu
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