3 papers
cs.AR2026
A Reconfigurable and Representation-Adaptive ISA-Based Architecture for Efficient DNN Acceleration
Vasilis Sakellariou, Vassilis Paliouras, Ioannis Kouretas +2
Domain-specific hardware accelerators provide significantly higher performance and energy efficiency for deep neural network (DNN) workloads than general-purpose processors, but of…
cs.LG2024
Hybrid Dynamic Pruning: A Pathway to Efficient Transformer Inference
Ghadeer Jaradat, Mohammed Tolba, Ghada Alsuhli +4
In the world of deep learning, Transformer models have become very significant, leading to improvements in many areas from understanding language to recognizing images, covering a…
eess.SP2017
Performance Analysis of Coherent and Noncoherent Modulation under I/Q Imbalance
Bassant Selim, Sami Muhaidat, Paschalis C. Sofotasios +4
In-phase/quadrature-phase Imbalance (IQI) is considered a major performance-limiting impairment in direct-conversion transceivers. Its effects become even more pronounced at higher…