One paper is accepted to HPCA 2022
H. Lee, C. Kim et al., “NeuroSync: A Scalable and Accurate Brain Simulation System using Safe and Efficient Speculation”, HPCA 2022
One paper is accepted to TOS 2022
D. Kwon, W. Lee et al., “SmartFVM: A Fast, Flexible, and Scalable Hardware-based Virtualization for Commodity Storage Devices”, TOS 2022
One paper is accepted to TPDS 2022
P. Park et.al., “DLS: A Fast and Flexible Neural Network Training System with Fine-grained Heterogeneous Device Orchestration”, TPDS 2022
One paper is accepted to ASPLOS 2022
D. Min, Y. Chung et.al., “CryoWire: Wire-Driven Microarchitecture Designs for Cryogenic Computing”, ASPLOS 2022
One paper is accepted to HPCA 2022
H. Lee, C. Kim, et.al., “NeuroSync: A Scalable and Accurate Brain Simulation System using Safe and Efficient Speculation”, HPCA 2022
One paper is accepted to MICRO 2021
J. Kim, H. Jang, et.al., “UC-Check: Characterizing Micro-operation Caches in x86 Processors and Implications in Security and Performance”, MICRO 2021
One paper is accepted to PACT 2021
J. Kim et al., “NLP-Fast: A Fast, Scalable, and Flexible System to Accelerate Large-Scale Heterogeneous NLP Models”, PACT 2021
One paper is accepted to ATC 2021
D. Kwon et al., “A Fast and Flexible Hardware-based Virtualization Mechanism for Computational Storage Devices”, ATC 2021
One paper is accepted to ISCA 2021
G. Lee et al., “CryoGuard: A Near Refresh-Free Robust DRAM Design for Cryogenic Computing”, ISCA 2021
Two papers are accepted to IEEE Micro’s Top Picks
I. Byun, D. Min et al., “A Next-Generation Cryogenic Processor Architecture”, IEEE Micro’s Top Picks 2021
K. Ishida, I. Byun et al., “Superconductor Computing for Neural Networks”, IEEE Micro’s Top Picks 2021