2 papers
cs.AR2023
Siracusa: A 16 nm Heterogenous RISC-V SoC for Extended Reality with At-MRAM Neural Engine
Arpan Suravi Prasad, Moritz Scherer, Francesco Conti +9
Extended reality (XR) applications are Machine Learning (ML)-intensive, featuring deep neural networks (DNNs) with millions of weights, tightly latency-bound (10-20 ms end-to-end),…
cs.CV2022
DRESS: Dynamic REal-time Sparse Subnets
Zhongnan Qu, Syed Shakib Sarwar, Xin Dong +3
The limited and dynamically varied resources on edge devices motivate us to deploy an optimized deep neural network that can adapt its sub-networks to fit in different resource con…