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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 View152
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 View73
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 View101
Mitigating The Impact of ReRAM I-V Nonlinearity and IR Drop via Fast Offline Network Training File

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

Article Issue Date2025-03 View148
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 View167
Overcoming Crossbar Nonidealities in Binary Neural Networks Through Learning File

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

Conference Paper Issue Date2018-07-18 View77
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 View154
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