EESP Workshop 2025

Workshop Objective

The EESP workshop fosters the exchange of innovative strategies, tools, and best practices to enhance energy efficiency in computing environments. Amid rising energy costs and ambitious sustainability goals, optimizing energy use is critical for managing computing infrastructure. The workshop focuses on balancing performance, energy and power consumption, and sustainability, offering practical guidance for exascale, Tier-1, and Tier-2 centers. Attendees will gain insights into greener, cost-effective practices to drive sustainability. Aligned with Sustainable Development Goals, EESP bridges HPC and AI communities, empowering operators to help users make energy-conscious decisions. It highlights sustained performance over peak performance for future competitiveness.

Workshop Scope

EESP invites academia, supercomputing centers, industry, and policymakers to collaborate on advancing energy-efficient practices. Topics include software development, hardware design, and energy-efficient practices across various computing environments such as HPC clusters, data centers, and cloud infrastructure. Energy efficiency is a growing challenge, particularly for Tier-2 centers with limited resources. This workshop fosters dialogue between Tier-0/1 and Tier-2 centers to adapt Tier-0/1 innovations for constrained budgets. It targets financial and technical solutions applicable to HPC clusters, data centers, and cloud infrastructures globally.

Topics of Interest

The workshop aims to benefit the broader community by sharing use cases, lessons learned, and best practices through descriptive papers. We solicit papers which encompass the following topics of interest, but are not limited to:

• Energy efficiency analysis in computing environments
• Energy-aware software optimization techniques for HPC & AI
• Energy-efficient hardware architectures and practices for HPC & AI
• Energy-efficient scheduling and resource management
• Energy-efficient data center administration and operation
• Metrics for energy-efficient sustainable performance
• Cluster-wide energy benchmarking with continuous regression analysis
• Energy modeling, measurement and behavioral insights for CPUs and GPUs
• Tools for power and energy monitoring, management and control
• Renewable energy sources for HPC systems
• Emerging trends and future challenges in energy consumption (e.g., AI and machine learning workloads)

Call for Papers

The EESP Workshop 2025 invites submissions of research papers focused on energy efficiency and sustainable performance in high-performance computing and artificial intelligence.

• Submission Guidelines
  • Papers should be either short (work-in-progress, 6 pages) or regular (12 pages), including references and appendices.
  • Submitted papers must be original and not previously published or under review for any other conference or journal.
  • Use the Springer Lecture Notes in Computer Science (LNCS) template.
  • Submit papers in PDF format through the EasyChair submission system at https://easychair.org/conferences?conf=eesp25.
• Review Process
  • Each submission will undergo a minimum of three single-blind peer reviews.
  • Review criteria include originality, technical soundness, impact, and quality of presentation.
• Post-Submission
  • Accepted papers will be published as part of the ISC proceedings in the Springer LNCS series.
  • There is an option for submitting two additional pages after the review to address reviewer feedback.

Keynote Speech

John Shalf Lawrence Berkeley National Laboratory (LBNL)

Future HPC Architectural Trends for Tackling AI's Hyper-Exponential Energy Crisis

Abstract The rapid growth of AI is driving a hyper-exponential increase in computing demand, with processing needs doubling every three months instead of every two years, far outpacing traditional advancements in energy efficiency. Moore’s Law stagnated in 2005 with the end of Dennard scaling, halting the ability to reduce energy consumption per transistor. Meanwhile, power-hungry GPUs continue to dominate data centers, contributing to an emerging energy crisis. AI’s power consumption is on track to surpass global energy production within a decade. This talk will explore AI's role in this crisis and the shift from general-purpose processors to specialized architectures, including chiplet-based designs, domain-specific accelerators, advanced packaging techniques, and co-integrated systems that combine leading-edge and legacy technologies. These innovations aim to improve energy efficiency and balance performance needs with sustainability in a resource-constrained environment. The talk will provide insights into how HPC can adapt to these industry-wide changes and thrive in a rapidly evolving technological landscape.

BIO John Shalf is Department Head for Computer Science in the Applied Mathematics and Computational Science Research Division at Lawrence Berkeley National Laboratory (LBNL). He is a coauthor of over 90 publications in the field of parallel computing software and HPC technology, including three best papers and the widely cited report “The Landscape of Parallel Computing Research: A View from Berkeley” (with David Patterson and others). He also coauthored “ExaScale Software Study: Software Challenges in Extreme Scale Systems,” which sets the Defense Advanced Research Project Agency’s (DARPA’s) information technology research investment strategy for the next decade. He was a member of the Berkeley Lab/NERSC team that won a 2002 R&D 100 Award for the RAGE robot. Before joining Berkeley Lab in 2000, Shalf was a research programmer at the National Center for Supercomputing Applications at the University of Illinois and a visiting scientist at the Max-Planck-Institut für Gravitationphysick/Albert Einstein Institute in Potsdam, Germany, where he co-developed the Cactus code framework for computational astrophysics.

Workshop General Chair

Ayesha Afzal - Erlangen National High Performance Computing Center (NHR@FAU)

Program Co-Chairs

• Sarah Neuwirth - Johannes Gutenberg University Mainz
• Natalie Bates - Energy Efficient HPC Working Group (EE HPC WG)
• Siddhartha Jana - Intel

Proceedings Chair

Radita Liem - RWTH Aachen University

Program Committee

• Aditya Deshpande - Samsung Semiconductor, USA
• Andy Turner - University of Leeds, England
• Aleksandar Ilic - University of Lisbon, Portugal
• Arthur F. Lorenzon - UFRGS, Brazil
• Bronis De Supinski - Lawrence Livermore National Laboratory, USA
• Can Hankendi - Boston University, USA
• Dirk Pleiter - KTH Royal Institute of Technology, Sweden
• Diana Goehringer - Technische Universität Dresden, Germany
• Fumiyoshi Shoji - RIKEN Center for Computational Science, Japan
• Florina M. Ciorba - University of Basel, Switzerland
• Gabriel Hautreux - National Computer Center for Higher Education (CINES), France
• Georg Hager - Regionales Rechenzentrum Erlangen (RRZE), Germany
• Hatem Ltaief - King Abdullah University of Science and Technology, Saudi Arabia
• Harald Köstler - Friedrich-Alexander-Universität Erlangen-Nürnberg, Germany
• Kento Sato - RIKEN Center for Computational Science, Japan
• Markus Diesmann - Forschungszentrum Jülich, Germany
• Markus Rampp - Max Planck Computing and Data Facility, Germany
• Martin Frank - Karlsruhe Institute of Technology, Germany
• Matthias Maiterth - Oak Ridge National Laboratory, USA
• Michael Ott - Leibniz Supercomputing Centre, Germany
• Nathan R. Tallent - Pacific Northwest National Laboratory, USA
• Paolo Bientinesi - Umeå University, Sweden
• Ralf Schneider - High Performance Computing Center Stuttgart, Germany
• Radu Prodan - University of Klagenfurt, Austria
• Raphael Vitti - Lawrence Berkeley National Laboratory, USA
• Robert Schöne - Technische Universität Dresden, Germany
• Roman Wyrzykowski - Czestochowa University of Technology, Poland
• Ryan E. Grant - Queen's University, Canada
• Stefano Markidis - KTH Royal Institute of Technology, Sweden
• Thomas Gruber - Erlangen National High Performance Computing Center, Germany
• Ondřej Vysocký - IT4Innovations National Supercomputing Center, Czech Republic
• Zhengji Zhao - Lawrence Berkeley National Laboratory, USA

Collaborators

• Erlangen National High Performance Computing Center (NHR@FAU)
• Energy Efficient HPC Working Group (EE HPC WG)

Contact

For questions, please contact the General Chair: Ayesha Afzal at ayesha.afzal@fau.de.

Announcements

CFP Closed and Keynote Announced!

The Call for Papers is now closed, and the keynote speech by John Shalf has been announced.

Call for Paper Open!

Submission for EESP 2025 proceedings is open. Check the technical details here.

Important Dates

• Submission deadline: February 20, 2025 March 2, 2025, AoE (firm)
• Notification: April 2, 2025, AoE
• Camera ready deadline: May 12, 2025, AoE