Sugil Lee

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 18

Top Topics

Quantization Noise

Evaluation Framework

Top Venues

IEEE Trans. Comput. Aided Des. Integr. Circuits Syst.

Publications

Minsang Yu, Minuk Hong, Sugil Lee, Seungsu Kim, Jongeun Lee
PyAIM: Pynq-Based Scalable Analog In-Memory Computing Prototyping Platform. AICAS (2024)
Chenghao Quan, Mohammed E. Fouda, Sugil Lee, Giju Jung, Jongeun Lee, Ahmed M. Eltawil, Fadi J. Kurdahi
Training-Free Stuck-At Fault Mitigation for ReRAM-Based Deep Learning Accelerators. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 42 (7) (2023)
Sugil Lee, Mohammed E. Fouda, Jongeun Lee, Ahmed M. Eltawil, Fadi J. Kurdahi
Offline Training-Based Mitigation of IR Drop for ReRAM-Based Deep Neural Network Accelerators. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 42 (2) (2023)
Jaewoo Park, Sugil Lee, Jongeun Lee
NTT-PIM: Row-Centric Architecture and Mapping for Efficient Number-Theoretic Transform on PIM. CoRR (2023)
Jaewoo Park, Sugil Lee, Jongeun Lee
NTT-PIM: Row-Centric Architecture and Mapping for Efficient Number-Theoretic Transform on PIM. DAC (2023)
Jooyeon Choi, Hyeonuk Sim, Sangyun Oh, Sugil Lee, Jongeun Lee
MLogNet: A Logarithmic Quantization-Based Accelerator for Depthwise Separable Convolution. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 41 (12) (2022)
Chenghao Quan, Mohammed E. Fouda, Sugil Lee, Jongeun Lee
Multi-Fidelity Nonideality Simulation and Evaluation Framework for Resistive Neuromorphic Computing. IEEECONF (2022)
Sugil Lee, Mohammed E. Fouda, Jongeun Lee, Ahmed M. Eltawil, Fadi J. Kurdahi
Accurate Prediction of ReRAM Crossbar Performance Under I-V Nonlinearity and IR Drop. ICCD (2022)
Sangyun Oh, Hyeonuk Sim, Sugil Lee, Jongeun Lee
Automated Log-Scale Quantization for Low-Cost Deep Neural Networks. CVPR (2021)
Sugil Lee, Mohammed E. Fouda, Jongeun Lee, Ahmed M. Eltawil, Fadi J. Kurdahi
Fast and Low-Cost Mitigation of ReRAM Variability for Deep Learning Applications. ICCD (2021)
Giju Jung, Mohammed E. Fouda, Sugil Lee, Jongeun Lee, Ahmed M. Eltawil, Fadi J. Kurdahi
Cost- and Dataset-free Stuck-at Fault Mitigation for ReRAM-based Deep Learning Accelerators. DATE (2021)
Sugil Lee, Giju Jung, Mohammed E. Fouda, Jongeun Lee, Ahmed M. Eltawil, Fadi J. Kurdahi
Learning to Predict IR Drop with Effective Training for ReRAM-based Neural Network Hardware. DAC (2020)
Mohammed E. Fouda, Sugil Lee, Jongeun Lee, Gun Hwan Kim, Fadi J. Kurdahi, Ahmed M. Eltawil
IR-QNN Framework: An IR Drop-Aware Offline Training of Quantized Crossbar Arrays. IEEE Access 8 (2020)
Segi Lee, Sugil Lee, Jongeun Lee, Jong-Moon Choi, Do-Wan Kwon, Seung-Kwang Hong, Kee-Won Kwon
Architecture-Accuracy Co-optimization of ReRAM-based Low-cost Neural Network Processor. ACM Great Lakes Symposium on VLSI (2020)
Sugil Lee, Hyeon Uk Sim, Jooyeon Choi, Jongeun Lee
Successive Log Quantization for Cost-Efficient Neural Networks Using Stochastic Computing. DAC (2019)
Sugil Lee, Daewoo Kim, Dong Nguyen, Jongeun Lee
Double MAC on a DSP: Boosting the Performance of Convolutional Neural Networks on FPGAs. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 38 (5) (2019)
Daewoo Kim, Sugil Lee, Jongeun Lee
On-chip memory optimization for high-level synthesis of multi-dimensional data on FPGA. ASP-DAC (2019)
Aidyn Zhakatayev, Sugil Lee, Hyeon Uk Sim, Jongeun Lee
Sign-magnitude SC: getting 10X accuracy for free in stochastic computing for deep neural networks. DAC (2018)