The EESP workshop fosters the exchange of innovative strategies, tools, and best practices to enhance energy efficiency across modern computing environments. It explores how to balance performance, power, and sustainability, promoting collaboration between HPC and AI communities to support environmentally responsible innovation. Aligned with IEEE/ACM SC 2026, the workshop covers full-lifecycle sustainability, operational analytics, and energy-conscious system design.
EESP invites academia, supercomputing centers, industry, national laboratories, and policymakers to submit original, unpublished research. Papers should be either short (4 pages) or regular (8 pages). Content generated by AI tools must be clearly described, and AI systems cannot be credited as authors. Submissions undergo double-blind peer review via the SC Linklings system.
Erlangen National High Performance Computing Center (NHR@FAU), Geramny
Energy Efficient HPC Working Group (EE HPC WG), USA
Lawrence Livermore National Laboratory (LLNL), USA
King Abdullah University of Science and Technology (KAUST), Saudi Arabia
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