Design Space Exploration and Modeling for CIM

2020

[ISPASS'20] An Architecture-Level Energy and Area Estimator for Processing-In-Memory Accelerator Designs

2021

[TC'21] Device-Circuit-Architecture Co-Exploration for Computing-in-Memory Neural Accelerators

2022

[ICCAD'22] Design Space and Memory Technology Co-Exploration for In-Memory Computing Based Machine Learning Accelerators

2023

[DAC'23] XPert: Peripheral Circuit & Neural Architecture Co-search for Area and Energy-efficient Xbar-based Computing

[arxiv'23] NicePIM: Design Space Exploration for Processing-In-Memory DNN Accelerators with 3D-Stacked-DRAM

[ICCAD'23] Benchmarking and modeling of analog and digital SRAM in-memory computing architectures

[TCAD'23] MNSIM 2.0: A Behavior-Level Modeling Tool for Processing-In-Memory Architectures

[TCAD'23] Efficient Processing of MLPerf Mobile Workloads Using Digital Compute-In-Memory Macros

Wu Yongkun
Wu Yongkun
PhD Student in Electronic and Computer Engineering