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Accurate Prediction of ReRAM Crossbar Performance Under I-V Nonlinearity and IR Drop

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

Conference Paper Issue Date2022-10-23 View4
Fast and Low-Cost Mitigation of ReRAM Variability for Deep Learning Applications File

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

Conference Paper Issue Date2021-10-24 View10
IR-QNN Framework: An IR Drop-Aware Offline Training Of Quantized Crossbar Arrays File File

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

Article Issue Date2020-12 View9
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 View10
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 View10
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 View10
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 View11
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