Hyungyo Kim

13 papers A* 5Misc 1Journal 7
YearRankTypeTitle / Venue / Authors
2026 J jnl
Characterizing the Intrinsic Bank-Level Accuracy Versus Energy Trade-Off of SRAM-Based Analog In-Memory Computing Architectures in 28 nm CMOS.
IEEE Trans. Circuits Syst. I Regul. Pap.
Shuo Li, Chihun Song, Hyungyo Kim, Nam Sung Kim, Naresh R. Shanbhag
2026 A* conf
LiLo: Harnessing the on-Chip Accelerators in Intel CPUs for Compressed LLM Inference Acceleration.
HPCA
Hyungyo Kim, Qirong Xia, Jinghan Huang, Nachuan Wang, Younjoo Lee, Jung Ho Ahn, Wajdi K. Feghali, Ren Wang, Nam Sung Kim
2025 A* conf
LIA: A Single-GPU LLM Inference Acceleration with Cooperative AMX-Enabled CPU-GPU Computation and CXL Offloading.
ISCA
Hyungyo Kim, Nachuan Wang, Qirong Xia, Jinghan Huang, Amir Yazdanbakhsh, Nam Sung Kim
2025 A* conf
NetZIP: Algorithm/Hardware Co-design of In-network Lossless Compression for Distributed Large Model Training.
MICRO
Jinghan Huang, Hyungyo Kim, Nachuan Wang, Jaeyoung Kang, Hrishi Shah, Eun Kyung Lee, Minjia Zhang, Fan Lai, Nam Sung Kim
2025 A* conf
Stratum: System-Hardware Co-Design with Tiered Monolithic 3D-Stackable DRAM for Efficient MoE Serving.
MICRO
Yue Pan, Zihan Xia, Po-Kai Hsu, Lanxiang Hu, Hyungyo Kim, Janak Sharda, Minxuan Zhou, Nam Sung Kim, Shimeng Yu, Tajana Rosing, Mingu Kang
2025 J jnl
Stratum: System-Hardware Co-Design with Tiered Monolithic 3D-Stackable DRAM for Efficient MoE Serving.
CoRR
Yue Pan, Zihan Xia, Po-Kai Hsu, Lanxiang Hu, Hyungyo Kim, Janak Sharda, Minxuan Zhou, Nam Sung Kim, Shimeng Yu, Tajana Rosing, Mingu Kang
2025 J jnl
The New LLM Bottleneck: A Systems Perspective on Latent Attention and Mixture-of-Experts.
CoRR
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
2024 A* conf
An LPDDR-based CXL-PNM Platform for TCO-efficient Inference of Transformer-based Large Language Models.
HPCA
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
2024 J jnl
Enhancing the Accuracy of 6T SRAM-Based In-Memory Architecture via Maximum Likelihood Detection.
IEEE Trans. Signal Process.
Hyungyo Kim, Naresh R. Shanbhag
2024 J jnl
Exploiting Intel Advanced Matrix Extensions (AMX) for Large Language Model Inference.
IEEE Comput. Archit. Lett.
Hyungyo Kim, Gaohan Ye, Nachuan Wang, Amir Yazdanbakhsh, Nam Sung Kim
2023 Misc conf
Boosting the Accuracy of SRAM-Based in-Memory Architectures Via Maximum Likelihood-Based Error Compensation Method.
ICASSP
Hyungyo Kim, Naresh R. Shanbhag
2021 J jnl
Direct Gradient Calculation: Simple and Variation-Tolerant On-Chip Training Method for Neural Networks.
Adv. Intell. Syst.
Hyungyo Kim, Joon Hwang, Dongseok Kwon, Jangsaeng Kim, Min-Kyu Park, Jiseong Im, Byung-Gook Park, Jong-Ho Lee
2021 J jnl
Direct Gradient Calculation: Simple and Variation-Tolerant On-Chip Training Method for Neural Networks.
Adv. Intell. Syst.
Hyungyo Kim, Joon Hwang, Dongseok Kwon, Jangsaeng Kim, Min Kyu Park, Jiseong Im, Byung-Gook Park, Jong-Ho Lee