Location: Room O5 – Orchid Jr 4211 (Level 4)
Abstract: The Workshop Advancing Energy and Resource Efficiency in Data Centers addresses the pressing environmental and operational challenges posed by the rising energy demands of modern data centers. These facilities are critical to supporting a wide range of applications, including cloud services, high-performance computing (HPC), and increasingly, artificial intelligence (AI) workloads. AI, in particular, presents a unique challenge due to its immense computational requirements, especially for GPU-intensive tasks, which significantly increase energy consumption and strain existing infrastructure.
The workshop will explore both hardware and software innovations aimed at improving energy and resource efficiency in data centers. It will focus on performance-per-watt technologies, system and infrastructure optimizations, and machine learning-driven energy consumption regulation. Special attention will be given to how data centers can effectively integrate AI workloads into established HPC systems without overwhelming energy resources. Topics will include smart scheduling algorithms, green coding practices, and scalable architectures that balance the power needs of AI with other computing services.
In addition to tackling AI’s energy demands, the workshop will highlight advances in cooling strategies, waste heat reuse, and hybrid computing infrastructures, all aimed at enhancing overall efficiency. The discussions will also cover assessment models for resource conservation and flexible solutions that can adapt to the evolving needs of the hybrid environments of AI and traditional HPC.
Through presentations, case studies, and collaborative discussions, the workshop seeks to bridge current practices with cutting-edge research, offering solutions that reduce the environmental impact of AI and HPC while ensuring data centers remain sustainable and economically viable. By integrating innovations across hardware, software, and operational strategies, the workshop aims to catalyze the development of energy-efficient, scalable systems that support the future growth of the global computing infrastructure.
Workshop URL: https://ee-workshop.for.lrz.de
