3 citations · 3 across the 1 of their papers we have counts for
3 papers
eess.SP2024
Real-time Digital RF Emulation -- II: A Near Memory Custom Accelerator
Mandovi Mukherjee, Xiangyu Mao, Nael Rahman +16
A near memory hardware accelerator, based on a novel direct path computational model, for real-time emulation of radio frequency systems is demonstrated. Our evaluation of hardware…
cs.LG2024★ 2 cited
Zero-Space Cost Fault Tolerance for Transformer-based Language Models on ReRAM
Bingbing Li, Geng Yuan, Zigeng Wang +6
Resistive Random Access Memory (ReRAM) has emerged as a promising platform for deep neural networks (DNNs) due to its support for parallel in-situ matrix-vector multiplication. How…
cs.AR2022★ 3 cited
An Algorithm-Hardware Co-design Framework to Overcome Imperfections of Mixed-signal DNN Accelerators
Payman Behnam, Uday Kamal, Saibal Mukhopadhyay
In recent years, processing in memory (PIM) based mixedsignal designs have been proposed as energy- and area-efficient solutions with ultra high throughput to accelerate DNN comput…