Partitioning Compute Units in CNN Acceleration for Statistical Memory Traffic Shaping. - Daejin Jung; Sunjung Lee; Wonjong Rhee; Jung Ho Ahn (IEEE Comput. Archit. Lett., 2018)

Restructuring Batch Normalization to Accelerate CNN Training. - Wonkyung Jung; Daejin Jung; Byeongho Kim; Sunjung Lee; Wonjong Rhee; Jung Ho Ahn (SysML, 2019)

MViD: Sparse Matrix-Vector Multiplication in Mobile DRAM for Accelerating Recurrent Neural Networks. - Byeongho Kim; Jongwook Chung; Eojin Lee; Wonkyung Jung; Sunjung Lee; Jaewan Choi; Jaehyun Park 006; Minbok Wi; Sukhan Lee 002; Jung Ho Ahn (IEEE Trans. Computers, 2020)

Row-Streaming Dataflow Using a Chaining Buffer and Systolic Array+ Structure. - Hweesoo Kim; Sunjung Lee; Jaewan Choi; Jung Ho Ahn (IEEE Comput. Archit. Lett., 2021)

Future Scaling of Memory Hierarchy for Tensor Cores and Eliminating Redundant Shared Memory Traffic Using Inter-Warp Multicasting. - Sunjung Lee; Seunghwan Hwang; Michael Jaemin Kim; Jaewan Choi; Jung Ho Ahn (IEEE Trans. Computers, 2022)

MVP: An Efficient CNN Accelerator with Matrix, Vector, and Processing-Near-Memory Units. - Sunjung Lee; Jaewan Choi; Wonkyung Jung; Byeongho Kim; Jaehyun Park 006; Hweesoo Kim; Jung Ho Ahn (ACM Trans. Design Autom. Electr. Syst., 2022)

The Breakthrough Memory Solutions for Improved Performance on LLM Inference. - Byeongho Kim; Sanghoon Cha; Sangsoo Park; Jieun Lee; Sukhan Lee 002; Shinhaeng Kang; Jinin So; Kyungsoo Kim 003; Jin Jung; Jong-Geon Lee; Sunjung Lee; Yoonah Paik; et al. (IEEE Micro, 2024)