Re: sustained number crunching
- From: Tim Prince <tprince@xxxxxxxxxxxx>
- Date: Fri, 21 Oct 2011 06:34:08 -0400
On 10/21/2011 5:51 AM, Paul Anton Letnes wrote:
On 21.10.11 11:29, Daniel Carrera wrote:In any case, the "bang per buck" isn't achieved with single thread applications on a laptop designed for portability, such as the OP discussed. Yesterday I was in an academic data center where 4 racks of latest AMD were brought on line last week and as many as 633 nodes x 16 cores of Intel CPUs have worked on a single job this week.On 10/21/2011 09:34 AM, Wolfgang Kilian wrote:There's probably not one correct answer here. I've got accounts on twoWe do have some record of AMD desktop processors outperforming desktop
i7-s by a margin, and on par with Xeon server processors. That was on
sustained number crunching over weeks. However, these numbers depend on
lots of parameters, so I wouldn't bet on it. In any case you'd have to
do measurements with your application yourself.
That's very interesting. I have long been a fan of AMD mostly because it
is the underdog. It is very difficult to know which company's CPUs will
give the best performance per buck. Many benchmarks compare CPUs that
are not at the same price point, and even then, you see one CPU
outperforming on some benchmarks and under-performing on others. So in
the end I'm left with no idea of what is better.
supercomputers, both of which are being upgraded this november. One will
be based on Intel, the other on AMD. I'm guessing that the "bang per
buck" is comparable, otherwise one producer would probably take over the
Of course, the "bang per buck" will probably be a function of whether
you are building a desktop or a >10k core supercomputer, or anything in
between, and what deal you manage to make with the supplier.
Already, 3 completely different MPI implementations have been running code compiled from 4 years ago to a few minutes ago.
It's the first time I've seen anything close to so much installed computing without raised floor and all that.
The "wiring" is even more "bleeding edge" than the CPUs. Yet many people are working to bring these new models into routine operation over the next few weeks.
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