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Mohamed S. Abdelfattah

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Fast Inference Through The Reuse Of Attention Maps In Diffusion Models

Dec 13, 2023
Rosco Hunter, Łukasz Dudziak, Mohamed S. Abdelfattah, Abhinav Mehrotra, Sourav Bhattacharya, Hongkai Wen

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FLIQS: One-Shot Mixed-Precision Floating-Point and Integer Quantization Search

Aug 07, 2023
Jordan Dotzel, Gang Wu, Andrew Li, Muhammad Umar, Yun Ni, Mohamed S. Abdelfattah, Zhiru Zhang, Liqun Cheng, Martin G. Dixon, Norman P. Jouppi, Quoc V. Le, Sheng Li

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DiviML: A Module-based Heuristic for Mapping Neural Networks onto Heterogeneous Platforms

Aug 02, 2023
Yassine Ghannane, Mohamed S. Abdelfattah

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Multi-Predict: Few Shot Predictors For Efficient Neural Architecture Search

Jun 04, 2023
Yash Akhauri, Mohamed S. Abdelfattah

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Adaptable Butterfly Accelerator for Attention-based NNs via Hardware and Algorithm Co-design

Sep 20, 2022
Hongxiang Fan, Thomas Chau, Stylianos I. Venieris, Royson Lee, Alexandros Kouris, Wayne Luk, Nicholas D. Lane, Mohamed S. Abdelfattah

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Logic Shrinkage: Learned FPGA Netlist Sparsity for Efficient Neural Network Inference

Jan 02, 2022
Erwei Wang, James J. Davis, Georgios-Ilias Stavrou, Peter Y. K. Cheung, George A. Constantinides, Mohamed S. Abdelfattah

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Temporal Kernel Consistency for Blind Video Super-Resolution

Aug 18, 2021
Lichuan Xiang, Royson Lee, Mohamed S. Abdelfattah, Nicholas D. Lane, Hongkai Wen

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Zero-Cost Proxies Meet Differentiable Architecture Search

Jun 12, 2021
Lichuan Xiang, Łukasz Dudziak, Mohamed S. Abdelfattah, Thomas Chau, Nicholas D. Lane, Hongkai Wen

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Zero-Cost Proxies for Lightweight NAS

Jan 20, 2021
Mohamed S. Abdelfattah, Abhinav Mehrotra, Łukasz Dudziak, Nicholas D. Lane

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BRP-NAS: Prediction-based NAS using GCNs

Aug 10, 2020
Łukasz Dudziak, Thomas Chau, Mohamed S. Abdelfattah, Royson Lee, Hyeji Kim, Nicholas D. Lane

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