https://github.com/Haleski47/RTL-Implementation-of-Two-Layer-CNN https://github.com/Di5h3z/ECE-564-Convolutional-Neural-Network-Accelerator 具有详细设计的两层 CNN 详细的设计文档: https://github.com/Haleski47/RTL-Implementation-of-Two-Layer-CNN/blob/master/report/Apar%20Bansal%20ECE564%20Pro...
In this context, an optimized CNN is proposed to be implemented on Pynq-Z2 board for Electrocardiography (ECG) signal class detection. As first step, a CNN has been implemented on the processor ARM Cortex A9 of Pynq Z2. Implementation results show the efficiency of our purpose, ach...
基于RISC-V软核CPU的国产FPGA CNN异构方案的实现 本文原标题《Implementation of CNN Hetero geneous Scheme Based on Domestic FPGA with RISC-V Soft Core CPU》,发表于“第五届IEEE国际集成电路技术与应用学术会议(ICTA 2022)”。 作者:吴海龙, 李金东, 陈翔,电子与信息工程学院,中山大学,中国 摘要:现场可编程门...
FPGA的特点是并行和流水线处理，而CNN的特点是模块化好和参数共享，所以CNN非常适合用FPGA加速。理论上，...
In this work, Convolutional Neural Network (CNN) is applied for defect identification of Swiven Cap (one type of medical component) based on Field-Programmable Gate Array (FPGA) implementation. Caffe is used as the platform to develop the CNN model. Afte
LeNet-5诞生于上世纪90年代，是CNN的开山之作，最早的卷积神经网络之一，用于手写数字识别（图像分类任务...
英文引用格式:Qiu Zhenbo. An FPGA-based implementation of CNN hardware accelerator[J]. Application of Electronic Technique,2023,49(12):20-25. An FPGA-based implementation of CNN hardware accelerator Qiu Zhenbo College of Photoelectric Engineering, Chongqing University of Posts and Telecommunications, Cho...
整体来说,cnn这种应用流水线控制相对cpu简单,没有写cpu的那一堆hazard让人烦心,也不用写汇编器啥的。太大的cnn放在fpga里挺费劲,做出创新很难,但是fpga上写个能用的lenet这种级别的cnn还是挺容易的。最后还可以依照惯例跟cpu比性能,跟gpu比功耗。
FPGA CNN FPGA implementation ofCellular Neural Network(CNN) Initialization CNN CNN.vis Top-level design with initialization for A, B, I template SixteenbySixteen.javagenerates Verilog code for 16x16 layer modulesixteenbysixteen.v Default CornerDetection ...
可以看到cnn算法主要由conv ,pooling,norm等几个部分组成。工作时将image跟weight灌进去,最终得到预测结果。 接下来拿profiler(比如perf)去分析下软件算法,找找热点和性能瓶颈。在cnn里面主要耗时的就是conv二维卷积了。性能瓶颈也主要在于卷积时需要大量乘加运算,参与计算的大量weight参数会带来的很多访存请求。