WLCG Environmental Sustainability Workshop

Session

Workloads and Metrics

12 Dec 2024, 11:50

31/3-004 - IT Amphitheatre (CERN)

Conveners

Workloads and Metrics

• Markus Schulz (CERN)

Workloads and Metrics

• Simone Campana (CERN)

7. The Role of the HEP Benchmark Suite in Measuring Performance to Support Sustainability in High-Energy Physics Computing

Domenico Giordano (CERN)

12/12/2024, 11:50

All contributions

The HEP Benchmark Suite provides a comprehensive framework for evaluating the performance and power consumption of computing resources within the Worldwide LHC Computing Grid (WLCG), supporting its sustainability objectives. This presentation will outline the toolkit's capabilities and present examples where the suite has successfully identified opportunities to improve both energy efficiency...

21. Calorimetric simulation with quantum computers: the energy perspective

Wojtek Fedorko (TRIUMF)

12/12/2024, 12:10

All contributions

During the HL-HLC era the WLCG, according to the current estimates, will be requested to provide millions of CPU years of computation annually. The largest single computing loads are particle tracking, hard scatter event generation and calorimetry simulation. Improving the computational performance of these loads is a very active research area that includes creation of GPU based codes and...

81. Energy Sustainability in Artificial Intelligence

Dr Sofia Vallecorsa (CERN)

12/12/2024, 13:30

All contributions

The rapid advancement of artificial intelligence (AI) technologies is driving transformative changes across various sectors, including High Energy Physics (HEP). While the energy consumption associated with AI systems poses a challenge to sustainability, the integration of AI within HEP offers significant benefits in terms of efficiency and modernization of the HEP computing model. This talk...

71. FlashSim at CMS: performance and resources of deep learning based simulation for HEP

Francesco Vaselli (Scuola Normale Superiore & INFN Pisa (IT))

12/12/2024, 13:50

All contributions

The CMS FlashSim simulation framework is an end-to-end ML based simulation that can speed up the time for production of analysis samples of several orders of magnitude with a limited loss of accuracy. Detailed event simulation at the LHC is taking a large fraction of computing budget. As the CMS experiment is adopting a common analysis level format, the NANOAOD, for a larger number of...

79. Accelerating Monte-Carlo event generation on CPUs and GPUs

Daniele Massaro (CERN)

12/12/2024, 14:10

All contributions

For HL-LHC, recent studies have shown that around 20% of the total computing resources will be used for Monte-Carlo simulations. Without efficiency improvements the computing needs of the experiments will not be met by the available resources. Motivating research avenues in the realm of GPU acceleration.
In this talk, we will present the current status of the GPU and vectorised version of the...

23. Power efficiency gains from GPU optimised workloads with Geant4 based detector simulations

Dr Albert Gyorgy Borbely (University of Glasgow (GB))

12/12/2024, 14:30

All contributions

Improvements in algorithmic efficiency are, in principle, the ‘free-est’ sources of energy-efficiency gains, as reducing CPU time at a constant power clearly reduces total energy. However, it is not clear a priori that the same applies to porting parts of a code to special purpose accelerators such as GPUs.
We investigated this case for the Celeritas project’s GPU offloading for Geant4’s EM...

68. Sustainable AI

Dr Sofia Vallecorsa (CERN)

Pending..