Xilin Zhou

Jul 29, 2023 | onlinelibrary.wiley.com | Longhao Yan |Qingyu Wu |Chenchen Xie |Xilin Zhou

Abstract Neural architecture search (NAS), as a subfield of automated machine learning, can design neural network models with better performance than manual design. However, the energy and time consumptions of conventional software-based NAS are huge, hindering its development and applications. Herein, 4 Mb phase change memory (PCM) chips are first fabricated that enable two key in-memory computing operations—in-memory multiply-accumulate (MAC) and in-memory rank for efficient NAS.