1 citations · 1 across the 4 of their papers we have counts for
4 papers
Design and Implementation of BNN-Based Object Detection on FPGA
Xuyu Zhao, Yunpeng Wu, Mengyuan Zhu +5
This paper implements a Binary Neural Network (BNN) based YOLOv3-tiny-like object detector on a low-cost FPGA. The network takes 320*320*3 RGB images as input. Its main convolution…
Drop-Connect as a Fault-Tolerance Approach for RRAM-based Deep Neural Network Accelerators
Mingyuan Xiang, Xuhan Xie, Pedro Savarese +3
Resistive random-access memory (RRAM) is widely recognized as a promising emerging hardware platform for deep neural networks (DNNs). Yet, due to manufacturing limitations, current…
YFlows: Systematic Dataflow Exploration and Code Generation for Efficient Neural Network Inference using SIMD Architectures on CPUs
Cyrus Zhou, Zack Hassman, Ruize Xu +3
We address the challenges associated with deploying neural networks on CPUs, with a particular focus on minimizing inference time while maintaining accuracy. Our novel approach is…
SONIQ: System-Optimized Noise-Injected Ultra-Low-Precision Quantization with Full-Precision Parity
Cyrus Zhou, Pedro Savarese, Zack Hassman +4
Ultra-low-precision inference can sharply reduce memory and latency but often degrades accuracy and relies on specialized hardware. We present SONIQ, a system-optimized, noise-inje…