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Showing results 8 to 16 of 16

Learning to Predict IR Drop with Effective Training for ReRAM-based Neural Network Hardware File

Lee, Sugil , Jung, Giju , Fouda, Mohammed E. , Lee, Jongeun , Eltawil, Ahmed , Kurdahi, Fadi

Conference Paper Issue Date2020-07-20 View16
Mask Technique for Fast and Efficient Training of Binary Resistive Crossbar Arrays File

Fouda, Mohammed E. , Lee, Sugil , Lee, Jongeun , Eltawil, Ahmed , Kurdahi, Fadi

Article Issue Date2019-07 View18
MLogNet: A Logarithmic Quantization-Based Accelerator for Depthwise Separable Convolution File

Choi, Jooyeon , Sim, Hyeonuk , Oh, Sangyun , Lee, Sugil , Lee, Jongeun

Article Issue Date2022-12 View23
NTT-PIM: Row-Centric Architecture and Mapping for Efficient Number-Theoretic Transform on PIM File

Park, Jaewoo , Lee, Sugil , Lee, Jongeun

Conference Paper Issue Date2023-07-11 View9
Offline Training-based Mitigation of IR Drop for ReRAM-based Deep Neural Network Accelerators File

Lee, Sugil , Fouda, Mohammed E. , Lee, Jongeun , Eltawil, Ahmed , Kurdahi, Fadi

Article Issue Date2023-02 View30
On-chip memory optimization for high-level synthesis of multi-dimensional data on FPGA File

Kim, Daewoo , Lee, Sugil , Lee, Jongeun

Conference Paper Issue Date2019-01-21 View14
Sign-Magnitude SC: Getting 10X Accuracy for Free in Stochastic Computing for Deep Neural Networks File

Zhakatayev, Aidyn , Lee, Sugil , Sim, Hyeonuk , Lee, Jongeun

Conference Paper Issue Date2018-06-24 View29
Successive log quantization for cost-efficient neural networks using stochastic computing File

Lee, Sugil , Sim, Hyeonuk , Choi, Jooyeon , Lee, Jongeun

Conference Paper Issue Date2019-06-02 View12
Training-Free Stuck-at Fault Mitigation for ReRAM-based Deep Learning Accelerators File

Quan, Chenghao , Fouda, Mohammed E. , Lee, Sugil , Jung, Giju , Lee, Jongeun , Eltawil, Ahmed , Kurdahi, Fadi

Article Issue Date2023-07 View22
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