About us

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.

Important Dates

Sat, Jul 25, 2026
Abstract registration deadline
Sat, Jul 25, 2026
Submission deadline

Call For Paper

Energy-aware software and application optimization
Programming models, compilers, and tools for energy-efficient computing
Energy-efficient hardware architectures and design practices
Energy-aware resource management, and power-steering runtimes
Operating system and network techniques for power and thermal control
Tools/frameworks for energy monitoring, instrumentation and analysis
Processor and system energy models including behavioral insights
Cluster-wide energy benchmarking and regression analysis
Comparative benchmarking of node architectures and memory systems
Analysis of long-term energy degradation in CPUs and GPUs
Renewable energy sources for HPC systems
Energy-efficient procurement frameworks and lifecycle cost analysis
Operational analytics and control for real-time power adaptation
Integration, energy/performance profiling and optimization of AI workloads
Emerging trends and challenges in HPC/AI energy consumption
Sustainable HPC through mixed precision algorithms

EESP invites academia, supercomputing centers, industry, national laboratories, and policymakers to submit original, unpublished research.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.

Committee

Workshop General Chair

Ayesha Afzal

Erlangen National High Performance Computing Center (NHR@FAU), Geramny

Program Committee

Natalie Bates

Energy Efficient HPC Working Group (EE HPC WG), USA

Bronis R. de Supinski

Lawrence Livermore National Laboratory (LLNL), USA

Hatem Ltaief

King Abdullah University of Science and Technology (KAUST), Saudi Arabia

Organizing committee

TBA