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  • From: Johannes Elmsheuser <johannes.elmsheuser AT cern.ch>
  • To: Brett Viren <bv AT bnl.gov>, "Johannes Elmsheuser (via phys-npps-members-l Mailing List)" <phys-npps-members-l AT lists.bnl.gov>
  • Subject: Re: [[Phys-npps-members-l] ] Extending the ARM of ATLAS computing
  • Date: Wed, 16 Jul 2025 14:06:27 -0400

Hi Brett,

On 16.07.25 13:52, Brett Viren wrote:
Really interesting.

The plot shows a clear motivation to use ARM for reasons of electricity.

Things are always in flux - the very latest AMD EPYC processors have caught up in that metric.

Is there a similar plot that shows HS23 score / "initial cost"? My
guess (and Gemini seems to agree) is that ARM systems are also cheaper
(per unit compute).

No, we do not have such a plot.

AWS is running a significant part of their compute on their in house Graviton ARM processors (most probably because of cost).

The higher ARM core count at first might be a constraint but the ARM
systems seem to come with even higher RAM per core than I'm used to
seeing on existing Intel "grid" slots for DUNE.

The ARM processors are btw. not hyperthreaded so there is an even better throughput compared to AMD/Intel - though the Nvidia grace chips are really expensive.
Why are we not all using ARM!?

Cheers, Johannes
-Brett.


Johannes Elmsheuser (via phys-npps-members-l Mailing List)
<phys-npps-members-l AT lists.bnl.gov> writes:

Hi all,

there is now a short ATLAS experiment briefing article online about 'Extending
the ARM of ATLAS computing':
https://urldefense.com/v3/__https://atlas.cern/Updates/Briefing/ARM-for-ATLAS__;!!P4SdNyxKAPE!C28oeCyn7iiJtIKC5_P-LDnwmtP3JrMD_07R_denFoEklJTdrOblNTgQCBNQcUTYCvI1afSAv2L7BWXyFrgQwHtmlKwxU71TblliefmKgsqD$
Enjoy !
Cheers, Johannes




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