Convolutional Neural Network Accelerator with Reconfigurable Dataflow. - Myungwoo Oh; Chaeeun Lee; Sanghun Lee; Youngho Seo; Sunwoo Kim 002; Jooho Wang; Chester Sungchung Park (ISOCC, 2018)

Optimizations of Scatter Network for Sparse CNN Accelerators. - Sunwoo Kim 002; Chungman Lee; Haesung Park; Jooho Wang; Sungkyung Park 001; Chester Sungchung Park (AICAS, 2019)

Spatial Data Dependence Graph Simulator for Convolutional Neural Network Accelerators. - Jooho Wang; Jiwon Kim; Sungmin Moon; Sunwoo Kim 002; Sungkyung Park 001; Chester Sungchung Park (AICAS, 2019)

Latency-Insensitive Controller for Convolutional Neural Network Accelerators. - Youngho Seo; Sanghun Lee; Sunwoo Kim 002; Jooho Wang; Sungkyung Park 001; Chester Sungchung Park (ISOCC, 2019)

Transaction-level Model Simulator for Communication-Limited Accelerators. - Sunwoo Kim 002; Jooho Wang; Youngho Seo; Sanghun Lee; Yeji Park; Sungkyung Park 001; Chester Sungchung Park (CoRR, 2020)

Optimization of Communication Schemes for DMA-Controlled Accelerators. - Jooho Wang; Sungkyung Park 001; Chester Sungchung Park (IEEE Access, 2021)

Modeling and Simulation of System Bus and Memory Collisions in Heterogeneous SoCs. - Jooho Wang; Yungyu Gim; Sungkyung Park 001; Chester Sungchung Park (IEEE Access, 2022)

Spatial Data Dependence Graph Based Pre-RTL Simulator for Convolutional Neural Network Dataflows. - Jooho Wang; Sungkyung Park 001; Chester Sungchung Park (IEEE Access, 2022)

eF2lowSim: System-Level Simulator of eFlash-Based Compute-in-Memory Accelerators for Convolutional Neural Networks. - Jooho Wang; Sunwoo Kim 002; Junsu Heo; Chester Sungchung Park (DATE, 2023)