6 citations · 6 across the 2 of their papers we have counts for
2 papers
cs.AR2021★ 6 cited
A Highly Configurable Hardware/Software Stack for DNN Inference Acceleration
Suvadeep Banerjee, Steve Burns, Pasquale Cocchini +6
This work focuses on an efficient Agile design methodology for domain-specific accelerators. We employ feature-by-feature enhancement of a vertical development stack and apply it t…
cs.LG2021
RHNAS: Realizable Hardware and Neural Architecture Search
Yash Akhauri, Adithya Niranjan, J. Pablo Muñoz +6
The rapidly evolving field of Artificial Intelligence necessitates automated approaches to co-design neural network architecture and neural accelerators to maximize system efficien…