Mohamed S. Abdelfattah
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
33
Venues
16
Active years
2013–2026
Best venue rank
A*
Where they publish
Papers
33 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | ISCA | $\mathrm{P}^{3}$-LLM: An Integrated NPU-PIM Accelerator for Edge LLM Inference Using Hybrid Numerical Formats. | Yuzong Chen, Chao Fang, Xilai Dai, Yuheng Wu, Thierry Tambe, Marian Verhelst, Mohamed S. Abdelfattah |
| 2025 | FPL | Double Duty: FPGA Architecture to Enable Concurrent LUT and Adder Chain Usage. | Junius Pun, Xilai Dai, Grace Zgheib, Mahesh A. Iyer, Andrew Boutros, Vaughn Betz, Mohamed S. Abdelfattah |
| 2025 | HPCA | BitMoD: Bit-serial Mixture-of-Datatype LLM Acceleration. | Yuzong Chen, Ahmed F. AbouElhamayed, Xilai Dai, Yang Wang, Marta Andronic, George A. Constantinides, Mohamed S. Abdelfattah |
| 2025 | ICLR | Palu: KV-Cache Compression with Low-Rank Projection. | Chi-Chih Chang, Wei-Cheng Lin, Chien-Yu Lin, Chong-Yan Chen, Yu-Fang Hu, Pei-Shuo Wang, Ning-Chi Huang, Luis Ceze, Mohamed S. Abdelfattah, Kai-Chiang Wu |
| 2025 | ICML | Quamba2: A Robust and Scalable Post-training Quantization Framework for Selective State Space Models. | Hung-Yueh Chiang, Chi-Chih Chang, Natalia Frumkin, Kai-Chiang Wu, Mohamed S. Abdelfattah, Diana Marculescu |
| 2025 | ISLPED | Hybrid Systolic Array Accelerator with Optimized Dataflow for Edge Large Language Model Inference. | Chun-Ting Chen, HanGyeol Mun, Jian Meng, Mohamed S. Abdelfattah, Jae-sun Seo |
| 2024 | DAC | Beyond Inference: Performance Analysis of DNN Server Overheads for Computer Vision. | Ahmed F. AbouElhamayed, Susanne Balle, Deshanand P. Singh, Mohamed S. Abdelfattah |
| 2024 | EMNLP | ShadowLLM: Predictor-based Contextual Sparsity for Large Language Models. | Yash Akhauri, Ahmed F. AbouElhamayed, Jordan Dotzel, Zhiru Zhang, Alexander M. Rush, Safeen Huda, Mohamed S. Abdelfattah |
| 2024 | FCCM | FPGA Benchmark for Unrolled DNNs with Fine-Grained Sparsity and Mixed Precision. | Xilai Dai, Yuzong Chen, Mohamed S. Abdelfattah |
| 2024 | FPL | Kratos: An FPGA Benchmark for Unrolled DNNs with Fine-Grained Sparsity and Mixed Precision. | Xilai Dai, Yuzong Chen, Mohamed S. Abdelfattah |
| 2024 | ICLR | Exploring the Limits of Semantic Image Compression at Micro-bits per Pixel. | Jordan Dotzel, Bahaa Kotb, James Dotzel, Mohamed S. Abdelfattah, Zhiru Zhang |
| 2024 | ICML | Encodings for Prediction-based Neural Architecture Search. | Yash Akhauri, Mohamed S. Abdelfattah |
| 2024 | ICML | Learning from Students: Applying t-Distributions to Explore Accurate and Efficient Formats for LLMs. | Jordan Dotzel, Yuzong Chen, Bahaa Kotb, Sushma Prasad, Gang Wu, Sheng Li, Mohamed S. Abdelfattah, Zhiru Zhang |
| 2024 | ICML | Towards Neural Architecture Search through Hierarchical Generative Modeling. | Lichuan Xiang, Lukasz Dudziak, Mohamed S. Abdelfattah, Abhinav Mehrotra, Nicholas Donald Lane, Hongkai Wen |
| 2024 | MICRO | BBS: Bi-Directional Bit-Level Sparsity for Deep Learning Acceleration. | Yuzong Chen, Jian Meng, Jae-sun Seo, Mohamed S. Abdelfattah |
| 2023 | AAAI | Zero-Cost Operation Scoring in Differentiable Architecture Search. | Lichuan Xiang, Lukasz Dudziak, Mohamed S. Abdelfattah, Thomas C. P. Chau, Nicholas D. Lane, Hongkai Wen |
| 2023 | FCCM | BRAMAC: Compute-in-BRAM Architectures for Multiply-Accumulate on FPGAs. | Yuzong Chen, Mohamed S. Abdelfattah |
| 2023 | ICCAD | DiviML: A Module-based Heuristic for Mapping Neural Networks onto Heterogeneous Platforms. | Yassine Ghannane, Mohamed S. Abdelfattah |
| 2022 | FPGA | Logic Shrinkage: Learned FPGA Netlist Sparsity for Efficient Neural Network Inference. | Erwei Wang, James J. Davis, Georgios-Ilias Stavrou, Peter Y. K. Cheung, George A. Constantinides, Mohamed S. Abdelfattah |
| 2022 | MICRO | Adaptable Butterfly Accelerator for Attention-based NNs via Hardware and Algorithm Co-design. | Hongxiang Fan, Thomas Chau, Stylianos I. Venieris, Royson Lee, Alexandros Kouris, Wayne Luk, Nicholas D. Lane, Mohamed S. Abdelfattah |
| 2021 | ICLR | Zero-Cost Proxies for Lightweight NAS. | Mohamed S. Abdelfattah, Abhinav Mehrotra, Lukasz Dudziak, Nicholas Donald Lane |
| 2021 | ICLR | NAS-Bench-ASR: Reproducible Neural Architecture Search for Speech Recognition. | Abhinav Mehrotra, Alberto Gil C. P. Ramos, Sourav Bhattacharya, Lukasz Dudziak, Ravichander Vipperla, Thomas Chau, Mohamed S. Abdelfattah, Samin Ishtiaq, Nicholas Donald Lane |
| 2021 | Mobisys | Are Mobile DNN Accelerators Accelerating DNNs? | Qingqing Cao, Alexandru Eugen Irimiea, Mohamed S. Abdelfattah, Aruna Balasubramanian, Nicholas D. Lane |
| 2020 | DAC | Best of Both Worlds: AutoML Codesign of a CNN and its Hardware Accelerator. | Mohamed S. Abdelfattah, Lukasz Dudziak, Thomas Chau, Royson Lee, Hyeji Kim, Nicholas D. Lane |
| 2020 | ECCV | Journey Towards Tiny Perceptual Super-Resolution. | Royson Lee, Lukasz Dudziak, Mohamed S. Abdelfattah, Stylianos I. Venieris, Hyeji Kim, Hongkai Wen, Nicholas D. Lane |
| 2020 | FPGA | Codesign-NAS: Automatic FPGA/CNN Codesign Using Neural Architecture Search. | Mohamed S. Abdelfattah, Lukasz Dudziak, Thomas Chau, Royson Lee, Hyeji Kim, Nicholas D. Lane |
| 2020 | Interspeech | Iterative Compression of End-to-End ASR Model Using AutoML. | Abhinav Mehrotra, Lukasz Dudziak, Jinsu Yeo, Young-Yoon Lee, Ravichander Vipperla, Mohamed S. Abdelfattah, Sourav Bhattacharya, Samin Ishtiaq, Alberto Gil C. P. Ramos, SangJeong Lee, Daehyun Kim, Nicholas D. Lane |
| 2019 | Interspeech | ShrinkML: End-to-End ASR Model Compression Using Reinforcement Learning. | Lukasz Dudziak, Mohamed S. Abdelfattah, Ravichander Vipperla, Stefanos Laskaridis, Nicholas D. Lane |
| 2018 | FPL | DLA: Compiler and FPGA Overlay for Neural Network Inference Acceleration. | Mohamed S. Abdelfattah, David Han, Andrew Bitar, Roberto DiCecco, Shane O'Connell, Nitika Shanker, Joseph Chu, Ian Prins, Joshua Fender, Andrew C. Ling, Gordon R. Chiu |
| 2016 | FPL | LYNX: CAD for FPGA-based networks-on-chip. | Mohamed S. Abdelfattah, Vaughn Betz |
| 2015 | FPGA | Take the Highway: Design for Embedded NoCs on FPGAs. | Mohamed S. Abdelfattah, Andrew Bitar, Vaughn Betz |
| 2015 | FPL | Design and simulation tools for Embedded NOCs on FPGAs. | Mohamed S. Abdelfattah, Andrew Bitar, Ange Yaghi, Vaughn Betz |
| 2013 | FPL | The power of communication: Energy-efficient NOCS for FPGAS. | Mohamed S. Abdelfattah, Vaughn Betz |