Session

DescriptionThe rapid growth of data in fields like astronomy, particle physics, and genomics, alongside the rising need for large AI model training, poses significant sustainability challenges for big data infrastructures. Carbon-conscious innovation is crucial for future computing infrastructures of the Square Kilometre Array Observatory (SKAO), expected to generate over 700 petabytes annually for the next 50 years to enable groundbreaking discoveries in physics and astronomy. Similarly, effective decarbonization strategies are necessary for legacy systems, such as CERN’s Worldwide LHC Computing Grid (WLCG), which offers global access to over 1.5 exabytes of data. This minisymposium will explore innovative strategies for designing energy-efficient hardware and optimizing software pipelines while minimizing environmental impact. It will feature sustainable computing research and solutions for infrastructures like SKAO and CERN, emphasizing real-world examples and insights into improving sustainability metrics for big data infrastructures. Key topics will include reducing carbon footprints, ensuring performance portability, and co-designing energy-efficient accelerators for high-performance computing, all crucial for addressing the growing demand for extreme-scale scientific computing. By fostering collaboration and sharing cutting-edge research, this event aims to enhance energy efficiency in scientific computing, develop more sustainable high-performance computing infrastructures, and advance carbon-aware practices to meet the demands of a data-driven future.