TORRES: a resource-efficient inference processor for binary convolutional neural networks based on locality-aware operation skip**
SJ Lee, GH Kwak, TH Kim - Electronics, 2022 - mdpi.com
A binary convolutional neural network (BCNN) is a neural network promising to realize
analysis of visual imagery in low-cost resource-limited devices. This study presents an …
analysis of visual imagery in low-cost resource-limited devices. This study presents an …
HW/SW codesign for approximation-aware binary neural networks
Binary Neural Networks (BNNs) are rapidly gaining remarkable attention due to their
superiority in shrinking the model size, which outstandingly mitigates the fundamental …
superiority in shrinking the model size, which outstandingly mitigates the fundamental …
BiNPU: A 33.0 MOP/s/LUT Binary Neural Network Inference Processor Showing 88.26% CIFAR10 Accuracy With 1.9 Mbit On-Chip Parameters in a 28 nm FPGA
GH Kwak, TH Kim - IEEE Transactions on Circuits and Systems …, 2024 - ieeexplore.ieee.org
An efficient processor to perform inference of binary neural networks (BNNs) is presented.
The proposed processor, named BiNPU, is designed based on a unified architecture that …
The proposed processor, named BiNPU, is designed based on a unified architecture that …
DL2Fence: Integrating deep learning and frame fusion for enhanced detection and localization of refined denial-of-service in large-scale NoCs
This study introduces a refined Flooding Injection Rate-adjustable Denial-of-Service (DoS)
model for Network-on-Chips (NoCs) and more importantly presents DL2Fence, a novel …
model for Network-on-Chips (NoCs) and more importantly presents DL2Fence, a novel …
[PDF][PDF] 高效能二值化權重神經網路之設計與實現
**子筠， 闕志達 - 臺灣大學電子工程學研究所學位論文, 2024 - tdr.lib.ntu.edu.tw
摘要**年來, 神經網路逐漸被開發用於各領域之任務, 並且達到了與人類相當甚至有所超越的
表現. 這些成果使得基於神經網路的商品逐漸出現在我們的生活中, 如何在計算資源有限的終端 …
表現. 這些成果使得基於神經網路的商品逐漸出現在我們的生活中, 如何在計算資源有限的終端 …