One paper is accepted to ASPLOS 2024
J. Kim, et al., “A Fault-Tolerant Million Qubit-Scale Distributed Quantum Computer”, ASPLOS 2024
J. Kim, et al., “A Fault-Tolerant Million Qubit-Scale Distributed Quantum Computer”, ASPLOS 2024
J. Lee, et al., “Fast, Light-Weight, and Accurate Performance Evaluation using Representative Datacenter Behaviors”, MIDDLEWARE 2023
D. Min, et al., “QIsim: Architecting 10+K Qubit QC Interfaces Toward Quantum Supremacy”, ISCA 2023
J. Boo, et al., “F4T: A Fast and Flexible FPGA-based Full-stack TCP Acceleration Framework”, ISCA 2023
S. Hur, et al., “A Fast and Flexible FPGA-based Accelerator for Natural Language Processing Neural Networks”, TACO 2022
E. Baek, et al., “STfusion: Fast and Flexible Multi-NN Execution using Spatio-Temporal Block Fusion and Memory Management”, TC 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. Jang, T. Kang et al., “LSim: Fine-Grained Simulation Framework for Large-Scale Performance Evaluation”, CAL 2022
I. Byun et al., “XQsim: Modeling Cross-Technology Control Processors for 10+K Qubit Quantum Computers”, ISCA 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