Mohamed S. Abdelfattah

Publication Activity (10 Years)

Years Active: 2012-2024
Publications (10 Years): 52

Top Topics

Simulation Tools

Diffusion Models

Neural Architecture

Top Venues

ACM Trans. Reconfigurable Technol. Syst.

Publications

Jordan Dotzel, Bahaa Kotb, James Dotzel, Mohamed S. Abdelfattah, Zhiru Zhang
Exploring the Limits of Semantic Image Compression at Micro-bits per Pixel. Tiny Papers @ ICLR (2024)
Yash Akhauri, Mohamed S. Abdelfattah
On Latency Predictors for Neural Architecture Search. MLSys (2024)
Jordan Dotzel, Yuzong Chen, Bahaa Kotb, Sushma Prasad, Gang Wu, Sheng Li, Mohamed S. Abdelfattah, Zhiru Zhang
Learning from Students: Applying t-Distributions to Explore Accurate and Efficient Formats for LLMs. CoRR (2024)
Jordan Dotzel, Yash Akhauri, Ahmed S. AbouElhamayed, Carly Jiang, Mohamed S. Abdelfattah, Zhiru Zhang
Radial Networks: Dynamic Layer Routing for High-Performance Large Language Models. CoRR (2024)
Ahmed F. AbouElhamayed, Susanne Balle, Deshanand P. Singh, Mohamed S. Abdelfattah
Beyond Inference: Performance Analysis of DNN Server Overheads for Computer Vision. CoRR (2024)
Xilai Dai, Yuzong Chen, Mohamed S. Abdelfattah
Kratos: An FPGA Benchmark for Unrolled DNNs with Fine-Grained Sparsity and Mixed Precision. CoRR (2024)
Yash Akhauri, Mohamed S. Abdelfattah
Encodings for Prediction-based Neural Architecture Search. CoRR (2024)
Yash Akhauri, Ahmed F. AbouElhamayed, Jordan Dotzel, Zhiru Zhang, Alexander M. Rush, Safeen Huda, Mohamed S. Abdelfattah
ShadowLLM: Predictor-based Contextual Sparsity for Large Language Models. CoRR (2024)
Jordan Dotzel, Bahaa Kotb, James Dotzel, Mohamed S. Abdelfattah, Zhiru Zhang
Exploring the Limits of Semantic Image Compression at Micro-bits per Pixel. CoRR (2024)
Rosco Hunter, Lukasz Dudziak, Mohamed S. Abdelfattah, Abhinav Mehrotra, Sourav Bhattacharya, Hongkai Wen
Fast Inference Through The Reuse Of Attention Maps In Diffusion Models. CoRR (2024)
Yash Akhauri, Mohamed S. Abdelfattah
On Latency Predictors for Neural Architecture Search. CoRR (2024)
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
FLIQS: One-Shot Mixed-Precision Floating-Point and Integer Quantization Search. CoRR (2023)
Yassine Ghannane, Mohamed S. Abdelfattah
DiviML: A Module-based Heuristic for Mapping Neural Networks onto Heterogeneous Platforms. CoRR (2023)
Yuzong Chen, Mohamed S. Abdelfattah
BRAMAC: Compute-in-BRAM Architectures for Multiply-Accumulate on FPGAs. FCCM (2023)
Yuzong Chen, Jordan Dotzel, Mohamed S. Abdelfattah
M4BRAM: Mixed-Precision Matrix-Matrix Multiplication in FPGA Block RAMs. ICFPT (2023)
Lichuan Xiang, Lukasz Dudziak, Mohamed S. Abdelfattah, Thomas C. P. Chau, Nicholas D. Lane, Hongkai Wen
Zero-Cost Operation Scoring in Differentiable Architecture Search. AAAI (2023)
Yuzong Chen, Jordan Dotzel, Mohamed S. Abdelfattah
M4BRAM: Mixed-Precision Matrix-Matrix Multiplication in FPGA Block RAMs. CoRR (2023)
Yash Akhauri, Mohamed S. Abdelfattah
Multi-Predict: Few Shot Predictors For Efficient Neural Architecture Search. CoRR (2023)
Erwei Wang, Marie Auffret, Georgios-Ilias Stavrou, Peter Y. K. Cheung, George A. Constantinides, Mohamed S. Abdelfattah, James J. Davis
Logic Shrinkage: Learned Connectivity Sparsification for LUT-Based Neural Networks. ACM Trans. Reconfigurable Technol. Syst. 16 (4) (2023)
Yash Akhauri, Mohamed S. Abdelfattah
Multi-Predict: Few Shot Predictors For Efficient Neural Architecture Search. AutoML (2023)
Yuzong Chen, Mohamed S. Abdelfattah
BRAMAC: Compute-in-BRAM Architectures for Multiply-Accumulate on FPGAs. CoRR (2023)
Yassine Ghannane, Mohamed S. Abdelfattah
DiviML: A Module-based Heuristic for Mapping Neural Networks onto Heterogeneous Platforms. ICCAD (2023)
Javier Fernández-Marques, Ahmed F. AbouElhamayed, Nicholas D. Lane, Mohamed S. Abdelfattah
Are We There Yet? Product Quantization and its Hardware Acceleration. CoRR (2023)
Hongxiang Fan, Thomas Chun-Pong Chau, Stylianos I. Venieris, Royson Lee, Alexandros Kouris, Wayne Luk, Nicholas D. Lane, Mohamed S. Abdelfattah
Adaptable Butterfly Accelerator for Attention-based NNs via Hardware and Algorithm Co-design. CoRR (2022)
Thomas Chun-Pong Chau, Lukasz Dudziak, Hongkai Wen, Nicholas Donald Lane, Mohamed S. Abdelfattah
BLOX: Macro Neural Architecture Search Benchmark and Algorithms. CoRR (2022)
Thomas Chau, Lukasz Dudziak, Hongkai Wen, Nicholas D. Lane, Mohamed S. Abdelfattah
BLOX: Macro Neural Architecture Search Benchmark and Algorithms. NeurIPS (2022)
Hongxiang Fan, Thomas Chau, Stylianos I. Venieris, Royson Lee, Alexandros Kouris, Wayne Luk, Nicholas D. Lane, Mohamed S. Abdelfattah
Adaptable Butterfly Accelerator for Attention-based NNs via Hardware and Algorithm Co-design. MICRO (2022)
Lichuan Xiang, Lukasz Dudziak, Mohamed S. Abdelfattah, Thomas C. P. Chau, Nicholas D. Lane, Hongkai Wen
Zero-Cost Proxies Meet Differentiable Architecture Search. CoRR (2021)
Mohamed S. Abdelfattah, Abhinav Mehrotra, Lukasz Dudziak, Nicholas D. Lane
Zero-Cost Proxies for Lightweight NAS. CoRR (2021)
Lichuan Xiang, Royson Lee, Mohamed S. Abdelfattah, Nicholas D. Lane, Hongkai Wen
Temporal Kernel Consistency for Blind Video Super-Resolution. CoRR (2021)
Mohamed S. Abdelfattah, Abhinav Mehrotra, Lukasz Dudziak, Nicholas Donald Lane
Zero-Cost Proxies for Lightweight NAS. ICLR (2021)
Lichuan Xiang, Royson Lee, Mohamed S. Abdelfattah, Nicholas D. Lane, Hongkai Wen
Temporal Kernel Consistency for Blind Video Super-Resolution. ICCVW (2021)
Qingqing Cao, Alexandru Eugen Irimiea, Mohamed S. Abdelfattah, Aruna Balasubramanian, Nicholas D. Lane
Are Mobile DNN Accelerators Accelerating DNNs? EMDL@MobiSys (2021)
Abhinav Mehrotra, Alberto Gil C. P. Ramos, Sourav Bhattacharya, Lukasz Dudziak, Ravichander Vipperla, Thomas C. P. Chau, Mohamed S. Abdelfattah, Samin Ishtiaq, Nicholas Donald Lane
NAS-Bench-ASR: Reproducible Neural Architecture Search for Speech Recognition. ICLR (2021)
Mohamed S. Abdelfattah, Lukasz Dudziak, Thomas C. P. Chau, Royson Lee, Hyeji Kim, Nicholas D. Lane
Best of Both Worlds: AutoML Codesign of a CNN and its Hardware Accelerator. CoRR (2020)
Thomas C. P. Chau, Lukasz Dudziak, Mohamed S. Abdelfattah, Royson Lee, Hyeji Kim, Nicholas D. Lane
BRP-NAS: Prediction-based NAS using GCNs. CoRR (2020)
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
Iterative Compression of End-to-End ASR Model Using AutoML. INTERSPEECH (2020)
Lukasz Dudziak, Thomas C. P. Chau, Mohamed S. Abdelfattah, Royson Lee, Hyeji Kim, Nicholas D. Lane
BRP-NAS: Prediction-based NAS using GCNs. NeurIPS (2020)
Royson Lee, Lukasz Dudziak, Mohamed S. Abdelfattah, Stylianos I. Venieris, Hyeji Kim, Hongkai Wen, Nicholas D. Lane
Journey Towards Tiny Perceptual Super-Resolution. CoRR (2020)
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
Iterative Compression of End-to-End ASR Model using AutoML. CoRR (2020)
Royson Lee, Lukasz Dudziak, Mohamed S. Abdelfattah, Stylianos I. Venieris, Hyeji Kim, Hongkai Wen, Nicholas D. Lane
Journey Towards Tiny Perceptual Super-Resolution. ECCV (26) (2020)
Mohamed S. Abdelfattah, Lukasz Dudziak, Thomas C. P. Chau, Royson Lee, Hyeji Kim, Nicholas D. Lane
Codesign-NAS: Automatic FPGA/CNN Codesign Using Neural Architecture Search. FPGA (2020)
Mohamed S. Abdelfattah, Lukasz Dudziak, Thomas C. P. Chau, Royson Lee, Hyeji Kim, Nicholas D. Lane
Best of Both Worlds: AutoML Codesign of a CNN and its Hardware Accelerator. DAC (2020)
Lukasz Dudziak, Mohamed S. Abdelfattah, Ravichander Vipperla, Stefanos Laskaridis, Nicholas D. Lane
ShrinkML: End-to-End ASR Model Compression Using Reinforcement Learning. INTERSPEECH (2019)
Lukasz Dudziak, Mohamed S. Abdelfattah, Ravichander Vipperla, Stefanos Laskaridis, Nicholas D. Lane
ShrinkML: End-to-End ASR Model Compression Using Reinforcement Learning. CoRR (2019)
Andrew C. Ling, Mohamed S. Abdelfattah, Shane O'Connell, Andrew Bitar, David Han, Roberto DiCecco, Suchit Subhaschandra, Chris N. Johnson, Dmitry Denisenko, Joshua Fender, Gordon R. Chiu
Harnessing Numerical Flexibility for Deep Learning on FPGAs. HEART (2018)
Gordon R. Chiu, Andrew C. Ling, Davor Capalija, Andrew Bitar, Mohamed S. Abdelfattah
Flexibility: FPGAs and CAD in Deep Learning Acceleration. ISPD (2018)
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
DLA: Compiler and FPGA Overlay for Neural Network Inference Acceleration. CoRR (2018)
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
DLA: Compiler and FPGA Overlay for Neural Network Inference Acceleration. FPL (2018)
Mohamed S. Abdelfattah, Andrew Bitar, Vaughn Betz
Design and Applications for Embedded Networks-on-Chip on FPGAs. IEEE Trans. Computers 66 (6) (2017)
Mohamed S. Abdelfattah, Vaughn Betz
LYNX: CAD for FPGA-based networks-on-chip. FPL (2016)
Mohamed S. Abdelfattah, Vaughn Betz
Power Analysis of Embedded NoCs on FPGAs and Comparison With Custom Buses. IEEE Trans. Very Large Scale Integr. Syst. 24 (1) (2016)
Andrew Bitar, Mohamed S. Abdelfattah, Vaughn Betz
Bringing programmability to the data plane: Packet processing with a NoC-enhanced FPGA. FPT (2015)
Mohamed S. Abdelfattah, Andrew Bitar, Ange Yaghi, Vaughn Betz
Design and simulation tools for Embedded NOCs on FPGAs. FPL (2015)
Mohamed S. Abdelfattah, Andrew Bitar, Vaughn Betz
Take the Highway: Design for Embedded NoCs on FPGAs. FPGA (2015)
Mohamed S. Abdelfattah, Vaughn Betz
Networks-on-Chip for FPGAs: Hard, Soft or Mixed? ACM Trans. Reconfigurable Technol. Syst. 7 (3) (2014)
Mohamed S. Abdelfattah, Andrei Hagiescu, Deshanand P. Singh
Gzip on a chip: high performance lossless data compression on FPGAs using OpenCL. IWOCL (2014)
Mohamed S. Abdelfattah, Vaughn Betz
The Case for Embedded Networks on Chip on Field-Programmable Gate Arrays. IEEE Micro 34 (1) (2014)
Mohamed S. Abdelfattah, Vaughn Betz
The power of communication: Energy-efficient NOCS for FPGAS. FPL (2013)
Mohamed S. Abdelfattah, Vaughn Betz
Design tradeoffs for hard and soft FPGA-based Networks-on-Chip. FPT (2012)