Hyungyo Kim

According to our database, Hyungyo Kim authored at least 7 papers between 2021 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

The New LLM Bottleneck: A Systems Perspective on Latent Attention and Mixture-of-Experts.

Sungmin Yun, Seonyong Park, Hwayong Nam, Younjoo Lee, Gunjun Lee, Kwanhee Kyung, Sangpyo Kim, Nam Sung Kim, Jongmin Kim, Hyungyo Kim, Juhwan Cho, Seungmin Baek, Jung Ho Ahn

CoRR, July, 2025

LIA: A Single-GPU LLM Inference Acceleration with Cooperative AMX-Enabled CPU-GPU Computation and CXL Offloading.

Hyungyo Kim, Nachuan Wang, Qirong Xia, Jinghan Huang, Amir Yazdanbakhsh, Nam Sung Kim

Proceedings of the 52nd Annual International Symposium on Computer Architecture, 2025

2024

Enhancing the Accuracy of 6T SRAM-Based In-Memory Architecture via Maximum Likelihood Detection.

Hyungyo Kim, Naresh R. Shanbhag

IEEE Trans. Signal Process., 2024

Exploiting Intel Advanced Matrix Extensions (AMX) for Large Language Model Inference.

Hyungyo Kim, Gaohan Ye, Nachuan Wang, Amir Yazdanbakhsh, Nam Sung Kim

IEEE Comput. Archit. Lett., 2024

An LPDDR-based CXL-PNM Platform for TCO-efficient Inference of Transformer-based Large Language Models.

Sangsoo Park, KyungSoo Kim, Jinin So, Jin Jung, Jonggeon Lee, Kyoungwan Woo, Nayeon Kim, Younghyun Lee, Hyungyo Kim, Yongsuk Kwon, Jinhyun Kim, Jieun Lee, YeonGon Cho, Yongmin Tai, Jeonghyeon Cho, Hoyoung Song, Jung Ho Ahn, Nam Sung Kim

Proceedings of the IEEE International Symposium on High-Performance Computer Architecture, 2024

2023

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

Hyungyo Kim, Naresh R. Shanbhag

Proceedings of the IEEE International Conference on Acoustics, 2023

2021

Direct Gradient Calculation: Simple and Variation-Tolerant On-Chip Training Method for Neural Networks.

Hyungyo Kim, Joon Hwang, Dongseok Kwon, Jangsaeng Kim, Min-Kyu Park, Jiseong Im, Byung-Gook Park, Jong-Ho Lee

Adv. Intell. Syst., 2021