Experience adaptive and intelligent computing – from Cloud to the Edge – with Xilinx at Embedded World 2020.
At the event, which is being held in Nuremberg from February 25-27, Xilinx will showcase a collection of demos, highlighting its ACAP (Adaptive Compute Acceleration Card), Alveo™, Industrial IoT (IIoT) and automotive solutions, plus much more.
Additionally, Xilinx will demonstrate Vitis™, the unified software platform launched in October 2019, that enables a broad new range of developers – including software engineers and AI scientists – to take advantage of the power of hardware adaptability.
Xilinx is exhibiting in hall 3A, booth 235.
Zynq® Ultrascale+™ Region of Interest (ROI) based encoding using Video Codec Unit (VCU)
The growth in the use of high definition (HD) and above video resolution streams has outstripped the rate at which network infrastructure has been deployed. When streaming video at limited transmission bandwidth, it’s necessary to use intelligent encoding whereby region of interest can be encoded at higher visual quality than the rest of the region within the frame. This demonstration showcases ROI based encoding using ZU+ Video Codec Unit (VCU). Using Vitis AI, the Xilinx Deep Learning Processor Unit (DPU) gets integrated in the pipeline and is used to identify the ROI’s mask within the frame. Using the ROI’s mask information, VCU allocates more bits for ROIs in comparison to the rest of the region at a given bitrate to improve the encoding efficiency. The key markets for this demonstration are video surveillance, video conferencing, medical and broadcast.
Versal™ ACAP Machine Learning (ML) inference solution using Intelligent Engine (AIE) for edge use-cases
Introducing the industry’s first Versal Adaptive Compute Acceleration Platform (ACAP), a fully software-programmable, heterogeneous compute platform that combines Scalar Engines, Adaptable Engines, and Intelligent Engines to achieve dramatic performance improvements. This demonstration showcases a ML inference solution for edge use cases on Versal ACAP. Using Xilinx tools, the system is realized on a heterogenous compute platform where adaptable engines are used to integrate live video interfaces along with pre/post processing elements. Intelligent Engines (AIE) are used to implement ML inference compute intensive algorithms and a scalar engine is used to run the operating system (OS) to control the different elements within the pipeline.
Cloud-trained neural network on a connected Xilinx IIoT Edge device
Using AWS certified boards from Xilinx, this demo highlights an easily accessible platform for an innovative collaboration between edge and cloud. The showcase features a neural network in the programmable system on chip (SoC), complemented by deterministic functions. After the AWS Sagemaker Neo cloud service executes the training for a ML model and deposits the result on secure cloud storage, the Xilinx-SoC-based edge device retrieves this without compromising real-time functionality.
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