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EV72 processor for embedded vision applications with two vector processing units
The DesignWare® ARC® EV71, EV72, and EV74 Embedded Vision Processor IP provides high performance, low power, area efficient solutions for a standalone computer vision and/or AI algorithms engine or as an accelerator for vision-enabled SoCs. The EV7x family is designed for power sensitive vision applications ranging from low power facial recognition, to augmented reality, to high-performance automotive autonomous vehicle vision. The EV7x family integrates a high-performance 32-bit scalar core, a 512-bit vector DSP, an optional vector floating point unit and an optional deep neural network (DNN) engine for complete computer vision and deep learning algorithm (CNN/RNN) coverage to perform fast and accurate object detection, classification, and scene segmentation. An optional AES-XTS encryption engine protects sensitive coefficient and graph topology data as well as user’s biometric data.
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Synopsys has announced the EV7x Embedded Vision Processor IP family with deep neural network (DNN) accelerator offering performance up to 35 TOPS. The EV7x can scale from 880 to 14,080 MACs with improved utilization, performance, bandwidth, and power over EV6x. The EV7x also offers vision engine enhancements to improve SLAM and DSP performance, optional AES encryption for security and protection of coefficients and image data, and improved LSTM and RNN capabilities. Learn more at www.synopsys.com/ev7x