Big-Little Chiplets for In-Memory Acceleration of DNNs: A Scalable Heterogeneous Architecture. - Gokul Krishnan; A. Alper Goksoy; Sumit K. Mandal; Zhenyu Wang 016; Chaitali Chakrabarti; Jae-sun Seo; Ümit Y. Ogras; Yu Cao 001 (ICCAD, 2022)

Hybrid RRAM/SRAM in-Memory Computing for Robust DNN Acceleration. - Gokul Krishnan; Zhenyu Wang 016; Injune Yeo; Li Yang 009; Jian Meng; Maximilian Liehr; Rajiv V. Joshi; Nathaniel C. Cady; Deliang Fan; Jae-Sun Seo; Yu Cao 001 (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2022)

Benchmarking Heterogeneous Integration with 2.5D/3D Interconnect Modeling. - Zhenyu Wang 016; Jingbo Sun; A. Alper Goksoy; Sumit K. Mandal; Jae-Sun Seo; Chaitali Chakrabarti; Ümit Y. Ogras; Vidya A. Chhabria; Yu Cao 001 (ASICON, 2023)

Exploiting 2.5D/3D Heterogeneous Integration for AI Computing. - Zhenyu Wang 016; Jingbo Sun; A. Alper Goksoy; Sumit K. Mandal; Yaotian Liu; Jae-Sun Seo; Chaitali Chakrabarti; Ümit Y. Ogras; Vidya A. Chhabria; Jeff Zhang 001; Yu Cao 001 (ASPDAC, 2024)

SHIFFT: A Scalable Hybrid In-Memory Computing FFT Accelerator. - Pragnya Sudershan Nalla; Zhenyu Wang 016; Sapan Agarwal; T. Patrick Xiao; Christopher H. Bennett; Matthew J. Marinella; Jae-sun Seo; Yu Cao 001 (ISVLSI, 2024)

HISIM: Analytical Performance Modeling and Design Space Exploration of 2.5D/3D Integration for AI Computing. - Zhenyu Wang 016; Pragnya Sudershan Nalla; Jingbo Sun; A. Alper Goksoy; Sumit K. Mandal; Jae-Sun Seo; Vidya A. Chhabria; Jeff Zhang 001; Chaitali Chakrabarti; Ümit Y. Ogras; Yu Cao 001 (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2025)