Are We There Yet? Product Quantization and its Hardware Acceleration. - Javier Fernández-Marqués; Ahmed F. AbouElhamayed; Nicholas D. Lane; Mohamed S. Abdelfattah (CoRR, 2023)

Beyond Inference: Performance Analysis of DNN Server Overheads for Computer Vision. - Ahmed F. AbouElhamayed; Susanne Balle; Deshanand P. Singh; Mohamed S. Abdelfattah (DAC, 2024)

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 (EMNLP, 2024)

BitMoD: Bit-serial Mixture-of-Datatype LLM Acceleration. - Yuzong Chen 001; Ahmed F. AbouElhamayed; Xilai Dai; Yang Wang; Marta Andronic; George A. Constantinides; Mohamed S. Abdelfattah (HPCA, 2025)

PQA: Exploring the Potential of Product Quantization in DNN Hardware Acceleration. - Ahmed F. AbouElhamayed; Angela Cui; Javier Fernández-Marqués; Nicholas D. Lane; Mohamed S. Abdelfattah (ACM Trans. Reconfigurable Technol. Syst., 2025)

SparAMX: Accelerating Compressed LLMs Token Generation on AMX-powered CPUs. - Ahmed F. AbouElhamayed; Jordan Dotzel; Yash Akhauri; Chi-Chih Chang; Sameh Gobriel; J. Pablo Muñoz; Vui Seng Chua; Nilesh Jain; Mohamed S. Abdelfattah (CoRR, 2025)

TokenButler: Token Importance is Predictable. - Yash Akhauri; Ahmed F. AbouElhamayed; Yifei Gao; Chi-Chih Chang; Nilesh Jain; Mohamed S. Abdelfattah (CoRR, 2025)

SplitReason: Learning To Offload Reasoning. - Yash Akhauri; Anthony Fei; Chi-Chih Chang; Ahmed F. AbouElhamayed; Yueying Li; Mohamed S. Abdelfattah (CoRR, 2025)