Unleashing the Potential of PIM: Accelerating Large Batched Inference of Transformer-Based Generative Models. - Jaewan Choi; Jaehyun Park 006; Kwanhee Kyung; Nam Sung Kim; Jung Ho Ahn (IEEE Comput. Archit. Lett., 2023)

ADT: Aggressive Demotion and Promotion for Tiered Memory. - Yaebin Moon; Wanju Doh; Kwanhee Kyung; Eojin Lee; Jung Ho Ahn (IEEE Comput. Archit. Lett., 2023)

AttAcc! Unleashing the Power of PIM for Batched Transformer-based Generative Model Inference. - Jaehyun Park 006; Jaewan Choi; Kwanhee Kyung; Michael Jaemin Kim; Yongsuk Kwon; Nam Sung Kim; Jung Ho Ahn (ASPLOS (2), 2024)

CLAY: CXL-based Scalable NDP Architecture Accelerating Embedding Layers. - Sungmin Yun 001; Hwayong Nam; Kwanhee Kyung; Jaehyun Park 006; Byeongho Kim; Yongsuk Kwon; Eojin Lee; Jung Ho Ahn (ICS, 2024)

Duplex: A Device for Large Language Models with Mixture of Experts, Grouped Query Attention, and Continuous Batching. - Sungmin Yun 001; Kwanhee Kyung; Juhwan Cho; Jaewan Choi; Jongmin Kim 007; Byeongho Kim; Sukhan Lee 002; Kyomin Sohn; Jung Ho Ahn (MICRO, 2024)

PET: Proactive Demotion for Efficient Tiered Memory Management. - Wanju Doh; Yaebin Moon; Seoyoung Ko; Seunghwan Chung; Kwanhee Kyung; Eojin Lee; Jung Ho Ahn (EuroSys, 2025)

SSD Offloading for LLM Mixture-of-Experts Weights Considered Harmful in Energy Efficiency. - Kwanhee Kyung; Sungmin Yun 001; Jung Ho Ahn (IEEE Comput. Archit. Lett., 2025)

The New LLM Bottleneck: A Systems Perspective on Latent Attention and Mixture-of-Experts. - Sungmin Yun 001; Seonyong Park; Hwayong Nam; Younjoo Lee; Gunjun Lee; Kwanhee Kyung; Sangpyo Kim; Nam Sung Kim; Jongmin Kim 007; Hyungyo Kim; Juhwan Cho; Seungmin Baek; et al. (CoRR, 2025)