2nd Energy Efficiency and Sustainability in AI, HPC, and Quantum Computing
Chairs Workshop
- Arthur Francisco Lorenzon(Federal University of Rio Grande do Sul, Brazil)
- João Carlos Garcia da Cunha Barbosa (Universidade do Minho, Portugal)
- Maximilian Höb, Leibniz(Supercomputing Center Munich, Germany)
Submission Format
- Peer-reviewed papers and invited contributions. All accepted papers will be presented in the technical sessions. Each paper will have a 15-minute presentation slot, followed by a brief Q&A.
Description of the workshop
High-performance computing (HPC) and Artificial Intelligence (AI) are essential in accelerating scientific discovery and innovation. However, their growing computational demands result in significant energy consumption, raising concerns about power efficiency, operational cost, thermal management, and environmental sustainability, especially in regions with limited infrastructure and high electricity costs, such as Latin America.
This workshop addresses the urgent need for energy-efficient solutions in AI and HPC by fostering collaboration among academic researchers, industry practitioners, and system architects.
Topics include, but are not limited to:
– software and hardware co-design for energy efficiency,
– energy-aware scheduling,
– monitoring frameworks,
– optimisation strategies tailored for scientific computing and deep learning.
The workshop aims to build a strong community focused on sustainable computing in Latin
America and beyond.