Download Brochure
Contact Us
Contact Us
Contact Us
Contact Sales
  • Company
  • About Us
  • Investor Relations
  • Community
  • Newsroom
  • Resources
  • Careers & Culture
Contact Us
All Synopsys
+ Silicon Design & Verification + Silicon IP + Software Integrity + About Us
Support
SolvNetPlus Software Integrity Customer Community
Global Sites
日本語 简体中文 繁體中文 Русский

DesignWare ARC EV CNN Engine Option

The DesignWare ARC EV6x Embedded Vision Processors offer an optional convolutional neural network (CNN) engine for fast and accurate object detection, classification and scene segmentation. The EV6x supports any CNN, including popular networks such as AlexNet, VGG16, GoogLeNet, Yolo, Faster R-CNN, SqueezeNet, and ResNet.

Designers can run CNN graphs originally trained for 32-bit floating point hardware on the EV6x’s 12-bit CNN engine, significantly reducing the power and area of their designs while maintaining the same levels of detection accuracy as a 16-bit engine. The EV6x’s CNN hardware also supports 8-bit precision for lower memory bandwidth and power use.

The EV6x’s CNN engine delivers power efficiency of up to 2,000 GMACs/sec/W when implemented in 16-nm FinFET process technologies (worst-case operating conditions).

The MetaWare EV Development Toolkit includes a CNN mapping tool that analyzes neural networks trained using popular frameworks like Caffe and Tensorflow, and automatically generates the executable for the programmable CNN engine. For maximum flexibility and future-proofing, the tool can also distribute computations between the vision CPU and CNN resources to support new and emerging neural network algorithms as well as customer-specific CNN layers.

Inuitive Demonstrates NU4000 Artificial Intelligence SoC with DesignWare EV6x at CES 2019

 

Highlights
Products
Downloads and Documentation
  • Fast, accurate object detection with a programmable CNN engine
  • Offers power efficiency of up to 2000 GMACs/sec/W in worst-case operating conditions when implemented in 16-nm FinFET processes
  • Supports both coefficient and feature map compression/decompression to reduce data bandwidth requirements and decrease power consumption
  • High productivity MetaWare EV Development Toolkit’s CNN mapping tool automatically dispatches processing tasks to available hardware resources for faster execution
CNN 1760 MAC OptionSTARs Subscribe
CNN 3520 MAC OptionSTARs Subscribe
CNN 880 MAC OptionSTARs Subscribe

Description: CNN 1760 MAC Option
Name: dwc_ev_cnn_1760_mac_option
Version: 2.20b
STARs: Open and/or Closed STARs
myDesignWare: Subscribe for Notifications
Product Type: DesignWare Cores
Documentation:
Download: ev-vision_processor
Product Code: B869-0, B870-0, B871-0, C173-0, C623-0, C624-0, C769-0, D107-0, E941-0, E942-0, E943-0
  
Description: CNN 3520 MAC Option
Name: dwc_ev_cnn_3520_mac_option
Version: 2.20b
STARs: Open and/or Closed STARs
myDesignWare: Subscribe for Notifications
Product Type: DesignWare Cores
Documentation:
Download: ev-vision_processor
Product Code: B869-0, B870-0, B871-0, C173-0, C623-0, C624-0, C769-0, D107-0, E941-0, E942-0, E943-0
  
Description: CNN 880 MAC Option
Name: dwc_ev_cnn_880_mac_option
Version: 2.20b
STARs: Open and/or Closed STARs
myDesignWare: Subscribe for Notifications
Product Type: DesignWare Cores
Documentation:
Download: ev-vision_processor
Product Code: B869-0, B870-0, B871-0, C173-0, C623-0, C624-0, C769-0, D107-0, E941-0, E942-0, E943-0


Search Tools
🔍
Analog IP Selector Memory, Logic & IO IP Selector Non-Volatile Memory IP Selector
More IP Resources