When Small Variations Become Big Failures: Reliability Challenges in Compute-in-Memory Neural Accelerators

Yifan Qin, Jiahao Zheng, Zheyu Yan +3

Compute-in-memory (CiM) architectures promise significant improvements in energy efficiency and throughput for deep neural network acceleration by alleviating the von Neumann bottl…