4 papers · 1 filter
A Generic Modulo- RNS Multiplier Based on Twit Representation
Saeid Gorgin, Amirhossein Sadr, Behzad Salami +1
Modular multiplication is a fundamental arithmetic primitive in Residue Number Systems (RNS) and is often the dominant source of delay, area, and energy consumption in RNS datapath…
Modeling and Simulation Frameworks for Processing-in-Memory Architectures
Mahdi Aghaei, Saba Ebrahimi, Mohammad Saleh Arafati +4
Processing-in-Memory (PIM) has emerged as a promising computing paradigm to address the memory wall and the fundamental bottleneck of the von Neumann architecture by reducing costl…
Enhancing Computational Efficiency in Intensive Domains via Redundant Residue Number Systems
Soudabeh Mousavi, Dara Rahmati, Saeid Gorgin +1
In computation-intensive domains such as digital signal processing, encryption, and neural networks, the performance of arithmetic units, including adders and multipliers, is pivot…
TaxoNN: A Light-Weight Accelerator for Deep Neural Network Training
Reza Hojabr, Kamyar Givaki, Kossar Pourahmadi +4
Emerging intelligent embedded devices rely on Deep Neural Networks (DNNs) to be able to interact with the real-world environment. This interaction comes with the ability to retrain…