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Achieving Embedded Design Simplicity With Kria SOMs


Xilinx Kria System-on-Modules (SOMs) provide a secure and production-ready multicore Arm processing and FPGA platform, including memories, power management, and your choice of a Yocto or Ubuntu Linux infrastructure to build accelerated AI-enabled applications at the edge. Kria accelerated apps offer an industry-first shortcut that enable both new and experienced Xilinx designers to skip doing a... » read more

Kria K26 SOM: The Ideal Platform For Vision AI At The Edge


With various advancements in artificial intelligence (AI) and machine learning (ML) algorithms, many high-compute applications are now getting deployed on edge devices. So, there is a need for an efficient hardware that can execute complex algorithms efficiently as well as adapt to rapid enhancements in this technology. Xilinx's Kria K26 SOM is designed to address the requirements of executing ... » read more

Xilinx AI Engines And Their Applications


This white paper explores the architecture, applications, and benefits of using Xilinx's new AI Engine for compute intensive applications like 5G cellular and machine learning DNN/CNN. 5G requires between five to 10 times higher compute density when compared with prior generations; AI Engines have been optimized for DSP, meeting both the throughput and compute requirements to deliver the hig... » read more

Synthetic Aperture And Plane Wave Ultrasound Imaging With Versal ACAP


Medical ultrasound is the most widely accepted and available form of diagnostic imaging today because of many significant advantages. It uses low-energy acoustic waves, and there are no known harmful side-effects on patients unlike potential ionizing radiation from X-rays or CT scans. Ultrasound can capture dynamic soft issue images, which X-rays cannot. Ultrasound systems are compact and trans... » read more

Reducing Risk And Increasing Efficiency For IEC61508 And ISO26262 Certified Safety Applications


This white paper introduces key dependability aspects for industrial and automotive customers who are designing and developing programmable electronic equipment for safety applications using Xilinx FPGA and SoC devices. The main focus of this white paper is to explain how to create solutions with highly integrated, high-performance certifiable systems that target IEC 61508 / ISO 26262 norms. Th... » read more

Isolate Security-Critical Applications On Zynq UltraScale+ Device


Implementing a TEE on the Zynq UltraScale+ platform (RFSoCs and MPSoCs) greatly reduces the attack surface of security-critical applications. Explore this white paper to find out • What a TEE is • How the requirements for a TEE are easily met on the Zynq UltraScale+ platform • Why a TEE is needed, even if hypervisors are used • An example architecture of Prove & Run’s Proven... » read more

Versal Premium ACAPs: Breakthrough Integration of Networked IP On A Power-Optimized, Adaptable Platform


In every market across the world, continuous demand for higher bandwidth metro and core networks scales beyond what today's technologies can support. Data center-centric scientific, enterprise, and consumer applications demand more efficient, higher performance compute that scales beyond what traditional technologies can match. Discrete solutions cannot meet performance, thermal, and bandwidth ... » read more

RT Kintex UltraScale FPGAs For Ultra High Throughput And High Bandwidth Applications


Xilinx's UltraScale architecture extends FPGA capability for space applications, delivering a step-function increase in I/O and memory bandwidth, capacity, performance, and in-orbit re-configurability. For the first time, the RT Kintex UltraScale XQRKU060 FPGA enables the satellite industry to access ultra-high throughput on-board processing of hundreds of Gb/s. This capability allows spacecraf... » read more

Convolutional Neural Network With INT4 Optimization


Xilinx provides an INT8 AI inference accelerator on Xilinx hardware platforms — Deep Learning Processor Unit (XDPU). However, in some resource-limited, high-performance and low-latency scenarios (such as the resource-power-sensitive edge side and low-latency ADAS scenario), low bit quantization of neural networks is required to achieve lower power consumption and higher performance than provi... » read more

Versal: The First Adaptive Compute Acceleration Platform (ACAP)


Recent technical challenges have forced the industry to explore options beyond the conventional “one size fits all” CPU scalar processing solution. Very large vector processing (DSP, GPU) solves some problems, but it runs into traditional scaling challenges due to inflexible, inefficient memory bandwidth usage. Traditional FPGA solutions provide programmable memory hierarchy, but the tradit... » read more

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