WLCG Environmental Sustainability Workshop

Session

Hardware and Fabrics

12 Dec 2024, 14:50

31/3-004 - IT Amphitheatre (CERN)

Conveners

Hardware and Fabrics

• Markus Schulz (CERN)

13. Carbon costs of storage & carbon reporting: a UK perspective.

Richard Alexander Owen, Samuel Cadellin Skipsey

12/12/2024, 14:50

All contributions

In order to achieve the higher performance year on year required by the 2030s for future LHC upgrades at a sustainable carbon cost to the environment, it is essential to start with accurate measurements of the state of play. Whilst there have been a number of studies of the carbon cost of compute for WLCG workloads published, rather less has been said on the topic of storage, both nearline and...

18. Environmental efficiency of tape storage at CERN

Vladimir Bahyl (CERN)

12/12/2024, 15:15

All contributions

The current capacity of the CERN's data storage tape infrastructure is around 1 EB.

The talk will first explain the 3 building blocks of this technology (automation, tape drives and media), their lifecycle and different resource requirements.

By using data compiled by IBM and Spectra Logic we will then outline the environmental and sustainability impacts of CERN's configuration in terms...

22. Watt Counts: ARM Compute & Energy Accounting in the WLCG

Emanuele Simili

12/12/2024, 15:35

All contributions

In the push for sustainable solutions in High Energy Physics (HEP) computing, our WLCG Tier2 site at ScotGrid Glasgow has adopted ARM-based servers, achieving full production integration with increasingly positive results. Today we run significant workloads on ARM, including ATLAS production tasks, and our findings indicate a measurable reduction in energy consumption compared to traditional...

4. Life Cycle Analysis of Compute Nodes

Mattias Wadenstein (University of Umeå (SE))

12/12/2024, 16:20

All contributions

A model for computing the total life cycle emissions for compute nodes, based on providing a certain level of scientific computing over long time.

This takes real-world data from data centers, electricity generation, and vendor server information and simulates different replacement scenarios (from replacing it as soon as possible to keeping it a long time) to be able to optimize for minimal...

6. ADVANCING DATA CENTER SUSTAINABILITY: Empirical Measurements of AI Training Power Demand on a GPU-Accelerated Node

Imran Latif (Brookhaven National Laboratory)

All contributions

Data center sustainability, a phenomenon that has grown in focus due to the continuing evolution of Artificial intelligence (AI)/High Performance Computing (HPC) and High Throughput Computing (HTC) systems; furthermore, the rampant increase in carbon emissions resulted due to unprecedented rise in Thermal Design Power (TDP) of the computer chips. With the exponential increase of demand towards...