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

Paper Submission

Research Paper Submission Tracks

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

Call for Papers Description

EESP invites academia, supercomputing centers, industry, national laboratories, and policymakers to submit original, unpublished research.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