FGPA: Fine-Grained Pipelined Acceleration for Depthwise Separable CNN in Resource Constraint Scenarios

Chunhua Xiao,Dandan Xu,Shi Qiu,Chen Shi,Kun Ning

2021 IEEE Intl Conf on Parallel & Distributed Processing with Applications, Big Data & Cloud Computing, Sustainable Computing & Communications, Social Computing & Networking (ISPA/BDCloud/SocialCom/SustainCom)（2021）

引用 1|浏览2

暂无评分

摘要

Depthwise Separable Convolution can effectively reduce parameters and operations with little loss in precision, which becomes more and more popular in many innovative neural networks such as MobileNet and Xception. Due to limited computing resources and storage space, how to deploy Depthwise Separable CNN(DSCNN) in a more efficient manner for resource constraint scenarios is still an open and impo...

查看译文

关键词

depthwise separable CNN,fine-grained partition,pipelined parallel,FPGA

AI 理解论文

溯源树

样例

生成溯源树，研究论文发展脉络

Chat Paper

正在生成论文摘要