Workshop CARLA 2026

High-performance computing (HPC), artificial intelligence (AI), and quantum computing (QC) are essential tools for accelerating scientific discovery, engineering innovation, and decision-making across disciplines. From climate modeling and genomics over large-scale simulations and AI-driven analytics to quantum-enhanced simulations, these technologies continue to push the boundaries of what is computationally possible. However, the rapid growth of compute-intensive workloads has led to a dramatic rise in energy consumption, raising serious concerns around operational costs, infrastructure demands, and environmental sustainability. The rapid expansion of large-scale AI training and inference infrastructures, including GPU-intensive AI factories and sovereign AI initiatives, has further amplified the urgency of sustainable and energy-aware computing strategies.

These challenges are particularly pressing in Latin America, where the HPC and AI ecosystem is advancing rapidly, yet must operate within unique regional constraints—including higher electricity costs, limited cooling infrastructure, and sustainability priorities driven by environmental, social, and economic factors. As such, energy efficiency is not just a technical goal, but a strategic imperative for ensuring the long-term viability and accessibility of high-performance digital technologies in the region.

The “2nd Energy Efficiency and Sustainability in AI, HPC, and Quantum Computing” workshop at CARLA 2026 seeks to address this critical need by providing a dedicated forum for sharing knowledge, strategies, and best practices related to sustainable computing. It aims to catalyze innovation through dialogue among system architects, application developers, hardware and software researchers, datacenter operators, and policy makers.

The workshop will explore both foundational and applied aspects of energy-aware computing, including novel algorithms and architectures, software-hardware co-optimization, real-world monitoring and tuning approaches, and institutional or policy-level solutions. Special emphasis will be placed on case studies, experiences, and collaborative efforts originating in or applicable to the Latin American context.

By fostering a regional and international community focused on sustainability in HPC and AI, the workshop aspires to build bridges between emerging research and practical implementation—ensuring that performance, energy efficiency, and social responsibility evolve hand in hand.

Topics of Interest

We invite submissions on (but not limited to) the following themes:

• Energy-efficient algorithms, AI models, and foundation model training/inference
• Scheduling, orchestration, and workload management for energy and power efficiency
• Hardware-software co-design and optimization for sustainable computing
• Low-power, accelerator-based, and heterogeneous computing architectures
• Monitoring, telemetry, modeling, and benchmarking of energy consumption in HPC and AI systems
• Carbon-aware computing and energy-aware resource management
• Sustainable GPU computing and large-scale AI infrastructures
• Renewable energy integration and sustainable operation of data centers
• Energy-aware data center design, cooling technologies, and waste heat reuse
• AI-driven optimization of infrastructure energy consumption and operations
• Case studies and operational experiences from HPC, AI, and quantum computing infrastructures
• Sustainability challenges and operational experiences from AI factories and exascale systems
• Policy, governance, and educational frameworks for sustainable digital infrastructures
• Energy-efficient quantum computing systems and hybrid HPC-QC workflows