SSCD Workshop on System, Circuit, Device, and Packaging Co-Optimization for Next Generation AI Systems

Abstract: In the past decade, Artificial Intelligence (AI) has made remarkable progress, from image processing to large language models. This rapid advancement has led to a significant increase in the complexity of AI models, which now require computational capabilities exceeding hundreds of peta-FLOPS. Consequently, there is a growing demand for advancements in AI hardware, encompassing systems, circuits, devices, and packaging. This demand highlights the essential contributions of the Solid-State Circuits Society (SSCS). In response to these global needs, the upcoming SSCS workshop will focus on the co-optimization of systems, circuits, devices, and packaging for next-generation AI systems. The program features five distinguished speakers. Firstly, Professor Kunle Olukotun, co-founder of SambaNova Systems and a professor at Stanford University, will share his insights on optimizing computing systems for training. Secondly, Professor Rio Yokota from the Global Scientific Information and Computing Center will discuss low-precision techniques and distributed training methods using supercomputers for large language model training. Thirdly, Dr. Jinwook Oh, CTO of Rebellion, will introduce AI accelerators for latency-critical Machine Learning applications. Fourthly, Dr. Pritish Narayanan from IBM will present on the optimization of Analog Compute-in-Memory accelerators. Lastly, Dr. Mihai Dragos Rotaru from A*STAR will discuss advanced packaging for efficient implementation of heterogeneous system chiplet. We anticipate that this workshop will provide valuable insights into the comprehensive contributions and future directions of SSCS in realizing the potential of AI.