One paper is accepted to MICRO 2022
H. Lee, M. Kim et al., “3D-FPIM: An Extreme Energy-Efficient DNN Acceleration System Using 3D NAND Flash-Based In-Situ PIM Unit”, MICRO 2022
H. Lee, M. Kim et al., “3D-FPIM: An Extreme Energy-Efficient DNN Acceleration System Using 3D NAND Flash-Based In-Situ PIM Unit”, MICRO 2022
I. Byun et al., “XQsim: Modeling Cross-Technology Control Processors for 10+K Qubit Quantum Computers”, ISCA 2022
H. Jang, T. Kang et al., “LSim: Fine-Grained Simulation Framework for Large-Scale Performance Evaluation”, CAL 2022
H. Lee, C. Kim et al., “NeuroSync: A Scalable and Accurate Brain Simulation System using Safe and Efficient Speculation”, HPCA 2022
D. Kwon, W. Lee et al., “SmartFVM: A Fast, Flexible, and Scalable Hardware-based Virtualization for Commodity Storage Devices”, TOS 2022
P. Park et.al., “DLS: A Fast and Flexible Neural Network Training System with Fine-grained Heterogeneous Device Orchestration”, TPDS 2022
D. Min, Y. Chung et.al., “CryoWire: Wire-Driven Microarchitecture Designs for Cryogenic Computing”, ASPLOS 2022
H. Lee, C. Kim, et.al., “NeuroSync: A Scalable and Accurate Brain Simulation System using Safe and Efficient Speculation”, HPCA 2022