Xilinx announces automotive-qualified Zynq UltraScale+ MPSoC family
Xilinx has announced availability of the automotive qualified Zynq UltraScale+ MPSoC family. It is targeted at enabling the development of safety critical ADAS and autonomous driving systems. The Xilinx Automotive XA Zynq UltraScale+ MPSoC family is qualified according to AEC-Q100 test specifications with full ISO 26262 ASIL-C level certification.
The MPSoCs integrate a feature-rich 64-bit quad-core Arm Cortex-A53 and dual-core Arm Cortex-R5 based processing system (PS) and Xilinx programmable logic UltraScale architecture in a single device. This scalable MPSoC is particularly well suited, says Xilinx, for automotive customer platforms by delivering the right performance/watt while integrating critical functional safety and security features.
The XA Zynq UltraScale+ MPSoC family has been certified to meet ISO 26262 ASIL-C level requirements by Exida, the accredited certification company specialising in automation and automotive system safety and security. It includes a ‘safety island’ designed for real-time processing functional safety applications that has been certified to meet ISO 26262 ASIL-C level requirements. In addition to the safety island, the programmable logic can be used to create additional safety circuits tailored for specific applications such as monitors, watchdogs or functional redundancy, effectively allowing ASIL decomposition and fault-tolerant architecture designs within a single integrated circuit.
The XA Zynq UltraScale+ MPSoC family is available today.
Xilinx is a provider of All Programmable semiconductor products integrating software-based intelligence with hardware optimisation and any-to-any connectivity. Automotive customers benefit from software environments and building blocks for computer vision, machine learning, sensor fusion and connectivity, says Xilinx, to build their own ADAS and fully autonomous drive platforms. As sensors and algorithms change, Xilinx provides flexible and adaptable automotive-qualified choices, with the fast response time and low power needed for developing differentiated next generation systems.
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