DPUCAHX8L for Convolutional Neural Networks

PublishTime：2022-05-23

The Xilinx® Deep Learning Processor Unit (DPU) is a series of soft IP for convolutional neural networks acceleration. The DPUCAHX8L is a low latency CNN inference IP for Alveo™ cards with high bandwidth memory (HBM). It runs with a set of efficiently optimized instructions and it can support most convolutional neural networks, such as VGG, ResNet, GoogLeNet, YOLO, SSD, MobileNet, FPN, etc.
●Features:
■ Supports one AXI slave interface for accessing configuration and status registers.
■ Supports one AXI master interface for code fetch.
■ Supports two AXI master read interface for input feature-map and model parameters loading.
■ Supports one AXI master write interface for feature map output.
■ Supports eight AXI master interfaces for DPUCAHX8L operation with virtual data banks inthe HBM.
■ DPU functionality includes the following:
▲Configurable depthwise convolution engines.
▲Convolution and deconvolution
▲Depthwise convolution
▲Max pooling
▲Average pooling
▲ReLU and ReLU6
▲Concat
▲Elementwise-sum
▲Dilation
▲Reorg
▲Fully connected layer
▲Batch normalization
▲Split

Brand of Product：	Xilinx
Part#：	DPUCAHX8L More Part#
Product Category：	Deep Learning Processor Unit 、 DPU 、 programmable DPU More
Application：	More
Data Type：	User's Guide More
Safety & Environment Standards：	More
Operating Temperature：	Please see the document for details
Qualification Grade：	More
Qualification Approval：	More
Package：
Language：	English Chinese Chinese and English Japanese
Date of Creation：	July 22, 2021
Version Number：	v1.0
Data Encoding：	PG366
Data Size：	390 KB

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