Exploiting Intel Advanced Matrix Extensions (AMX) for Large Language Model Inference. - Kim, Hyungyo; Ye, Gaohan; Wang, Nachuan; Yazdanbakhsh, Amir; Kim, Nam Sung (IEEE Comput. Archit. Lett., 2024)

Enhancing the Accuracy of 6T SRAM-Based In-Memory Architecture via Maximum Likelihood Detection. - Kim, Hyungyo; Shanbhag, Naresh R. (IEEE Trans. Signal Process., 2024)

An LPDDR-based CXL-PNM Platform for TCO-efficient Inference of Transformer-based Large Language Models. - Park, Sangsoo; Kim, KyungSoo; So, Jinin; Jung, Jin; Lee, Jonggeon; Woo, Kyoungwan; Kim, Nayeon; Lee, Younghyun; Kim, Hyungyo; Kwon, Yongsuk; Kim, Jinhyun; Lee, Jieun; et al. (2024)

Boosting the Accuracy of SRAM-Based in-Memory Architectures Via Maximum Likelihood-Based Error Compensation Method. - Kim, Hyungyo; Shanbhag, Naresh R. (2023)

Direct Gradient Calculation: Simple and Variation-Tolerant On-Chip Training Method for Neural Networks. - Kim, Hyungyo; Hwang, Joon; Kwon, Dongseok; Kim, Jangsaeng; Park, Min-Kyu; Im, Jiseong; Park, Byung-Gook; Lee, Jong-Ho (Adv. Intell. Syst., 2021)

Direct Gradient Calculation: Simple and Variation-Tolerant On-Chip Training Method for Neural Networks. - Kim, Hyungyo; Hwang, Joon; Kwon, Dongseok; Kim, Jangsaeng; Park, Min Kyu; Im, Jiseong; Park, Byung-Gook; Lee, Jong-Ho (Adv. Intell. Syst., 2021)