A high-performance hardware accelerator for 2D convolution operations using an 8×8 systolic array architecture, implemented using the SKY130 open-source PDK. This project implements an NVDLA-style ...

针对NPUs中DNN层异质性导致的布局重排开销问题，提出HopScotch方法，结合微架构优化（三输入多路复用器、VLIW向量处理器）、混合搜索算法（Top-k策略）和成本建模，显著降低重排开销，实验表明在多个模型上实现1.13至2.62倍加速。 现代深度神经网络（DNNs）在 ...

This research presents a Driver Drowsiness Detection System (DDDS) that uses a Convolutional Neural Network (CNN) to improve road safety. The system uses a vast dataset of 97,860 images from the ...

CNN has been widely used in many image-related machine learning algorithms due to its high accuracy for image recognition. Convolution and fully-connected layers are two essential components for CNN.

With the rapid development of machine learning, Deep Neural Network (DNN) exhibits superior performance in solving complex problems like computer vision and natural language processing compared with ...

Abstract: Over the past decade, significant developments have taken place in the field of deep learning. State-of-the-art convolutional neural networks (CNNs), a branch of deep learning, have been ...

Abstract: Convolutional neural networks (CNNs) are widely used in computer vision and natural language processing. Field-programmable gate arrays (FPGAs) are a popular accelerator for CNNs. However, ...

In this study, the authors proposed a pain identification model using facial expressions. An image extraction technique was developed using the liquid neural network to extract diverse images from the ...

Package-level integration using multi-chip-modules (MCMs) is a promising approach for building large-scale systems. Compared to a large monolithic die, an MCM combines many smaller chiplets into a ...