Xilinx has expanded its automotive-qualified 16nm family with two new devices – the Xilinx Automotive (XA) Zynq UltraScale+ MPSoC 7EV and 11EG.
These two new parts deliver the highest programmable capacity, performance and I/O capabilities enabling high-speed, data aggregation, pre-processing, and distribution (DAPD), as well as compute acceleration for L2+ to L4 advanced driver-assistance systems (ADAS) and autonomous driving (AD) applications.
The new XA Zynq UltraScale+ MPSoC 7EV and 11EG devices were developed as a result of customer demand. The devices offer over 650,000 programmable logic cells – and nearly 3,000 DSP slices, which is 2.5X increase versus the previous largest device.
In addition, the XA 7EV contains a video codec unit for h.264/h.265 encode and decode, while the XA 11EG includes 32 12.5Gb/s transceivers and provides four PCIe Gen3x16 blocks.
The addition of these high-performance devices to the XA portfolio enables carmakers, robotaxi developers, and Tier-1 suppliers to perform the DAPD and compute acceleration in a power envelope that allows for scalable production deployments for AD vehicles.
The XA Zynq UltraScale+ MPSoC portfolio is qualified according to AEC-Q100 test specifications and integrates both Xilinx programmable logic and a feature-rich 64-bit quad-core Arm Cortex-A53 and dual-core Arm Cortex-R5 based processing system that is certified to ASIL-C level in the low power domain.
The combination of these features, paired with the high data throughput capability of the new devices, accelerate the deployment of autonomous vehicles on the road today.
To date, Xilinx has shipped more than 67 million auto-qualified solutions for ADAS systems and AD production vehicles to over 200 automotive companies including global Tier-1 suppliers, OEMs and start-ups.
The XA Zynq UltraScale+ MPSoC devices are available for order today.
All XA devices are supported by Vitis and Vitis AI, the company’s new unified software platform that enables a broad range of developers to take advantage of the power of hardware adaptability.