TRiM: Enhancing Processor-Memory Interfaces with Scalable Tensor Reduction in Memory. - Jaehyun Park 006; Byeongho Kim; Sungmin Yun 001; Eojin Lee; Minsoo Rhu; Jung Ho Ahn (MICRO, 2021)

GraNDe: Near-Data Processing Architecture With Adaptive Matrix Mapping for Graph Convolutional Networks. - Sungmin Yun 001; Byeongho Kim; Jaehyun Park 006; Hwayong Nam; Jung Ho Ahn; Eojin Lee (IEEE Comput. Archit. Lett., 2022)

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)

GraNDe: Efficient Near-Data Processing Architecture for Graph Neural Networks. - Sungmin Yun 001; Hwayong Nam; Jaehyun Park 006; Byeongho Kim; Jung Ho Ahn; Eojin Lee (IEEE Trans. Computers, 2024)

Anaheim: Architecture and Algorithms for Processing Fully Homomorphic Encryption in Memory. - Jongmin Kim 007; Sungmin Yun 001; Hyesung Ji; Wonseok Choi 015; Sangpyo Kim; Jung Ho Ahn (HPCA, 2025)

Cosmos: A CXL-Based Full In-Memory System for Approximate Nearest Neighbor Search. - Seoyoung Ko; Hyunjeong Shim; Wanju Doh; Sungmin Yun 001; Jinin So; Yongsuk Kwon; Sang-Soo Park; Si-Dong Roh; Minyong Yoon; Taeksang Song; Jung Ho Ahn (IEEE Comput. Archit. Lett., 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)