Following on the success of the First IEEE International LLM-Aided Design 2024, this conference will explore the transformative potential of Large Language Models (LLMs) in revolutionizing computing system design across the stack, from hardware, design automation to computer architecture and software with improved quality, productivity, robustness, and cost. The conference will be a timely venue that will host leading researchers and thought leaders in this fast-growing area and will provide a forum for researchers and practitioners to present their latest results, contribute open-source datasets, tool flows, and offer benchmarking, testing and validation methods and solutions. LLM-aided hardware/software code generation, system-level design with LLMs, security of LLM-generated designs, LLM-aided security verification and bug-fixing, LLM for design automation, LLMs for circuit and transistor level design, and computational efficiency of LLM-aided design tools.

IEEE International Conference on LLM-Aided Design (ICLAD) is technically sponsored by IEEE. The conference proceedings are likely to be indexed in databases such as Scopus, Web of Science (WoS), Google Scholar, and others.