Speaker
Description
ALICE upgraded its computing infrastructure and software to handle the increased data rates and enhanced detector performance in Run 3. This upgrade significantly reduced energy consumption and CO2 emissions through:
- Optimized resource usage: Maximizing GPU utilization, parallelizing and vectorizing CPU code, and organizing analyses into trains.
- Energy-efficient techniques: Employing low PUE centers for tuning and validation of analysis, reusing generated events in MC simulation, and integrating support for ARM architectures.
- EPN infrastructure: Cost savings and performance improvements through energy-efficient cooling systems and extensive use of GPUs for real time data compression.
These strategies will be discussed in detail during the talk.
