Session

DescriptionThe rapid growth of AI models and AI-targeted hardware is significantly impacting everyday life, but it is also creating opportunities for the HPC community to address its current challenges, like the pressure to simulate larger, more complex problems while reducing time-to-solution, and requirements to improve the energy efficiency of both systems and software. This symposium will aim to explore how HPC can leverage AI advancements to tackle complex problems more efficiently and sustainably. The aim is to highlight promising AI developments and strategies to maximize benefits while avoiding overhyped pitfalls while using AI in traditional HPC workloads. The discussion includes AI’s potential in enhancing numerical methods, as well as the adaptation of AI-focused hardware for HPC workloads, as well as AI’s role in optimizing HPC data centres, offering insights into efficiency improvements. Additionally, the potential of Large Language Models (LLMs) to streamline HPC code development and optimization will be discussed, aiming to guide the HPC community in integrating AI technologies effectively, emphasizing real-world applications and challenges to advance their objectives.