Hyungyo Kim

Boosting the Accuracy of SRAM-Based in-Memory Architectures Via Maximum Likelihood-Based Error Compensation Method

SRAM-based analog in-memory computing (IMC) architectures have demonstrated high energy efficiency and compute density over digital accelerators for machine learning. However, their compute SNR and achievable dot product (DP) dimension are limited by the analog nature of computations. We present a M…