AIPerfLLM: 3rd International Workshop on Performance Optimization in the LLM world

Artificial Intelligence (AI) has been widely adopted in various domains (e.g., computer vision, natural language processing, and reliability analysis). However, its use for performance modeling and evaluation remains limited, and its benefits to the performance engineering field are still unclear. Researchers and practitioners have recently started focusing on methods such as explainable or white-box AI-based solutions in performance engineering, but the tools, methodologies, and datasets that enable wider adoption are still lacking. Meanwhile, the rapid rise of large language models (LLMs) such as ChatGPT poses new challenges in performance optimization and cost containment. LLM pre-training is expensive, and the necessary infrastructure also incurs significant carbon footprint. This workshop aims to bridge research and practice by bringing together academia and industry to share experiences and insights in performance engineering for LLM-based services and AI applications. We target techniques and methodologies to optimize performance while reducing energy consumption and cost.