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Xilinx

www.xilinx.com

Xilinx helped drive the creation of the Edge AI and Vision Alliance. You can find Xilinx products in a growing number of fielded edge AI and vision products across all markets including Aerospace, Automotive, Broadcast, Defense, Consumer, Industrial, and Medical. Xilinx has led the industry in developing platforms that help hardware and software developers and system architects accelerate computer vision and other edge AI algorithms. Xilinx continues to invest in a host of new technologies specifically tailored for edge AI and vision applications. Xilinx is very excited to see its customers push the boundaries of applications using its devices and the broad development ecosystem that surrounds them.

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“Accelerating Time to an Image Processing Prototype,” a Presentation from Avnet

Adam Taylor, Founder and Principal Consultant at Adiuvo Engineering and Training, along with Dan Rozwood, Engineer, and Kevin Keryk, Software Engineering Manager and Machine Learning Specialist, both of Avnet, present the “Accelerating Time to an Image Processing Prototype” tutorial at the September 2020 Embedded Vision Summit. In this Over-the-Shoulder session,… “Accelerating Time to an Image …

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AMD to Acquire Xilinx, Creating the Industry’s High Performance Computing Leader

Strategic transaction strengthens AMD’s industry-leading technology portfolio Expands AMD’s rapidly growing data center business Xilinx, the No. 1 provider of adaptive computing solutions, increases AMD TAM to $110 billion Immediately accretive to AMD margins, cash flow and EPS All stock transaction with combined enterprise value of approximately $135 billion SILICON VALLEY, Calif., Oct. 27, 2020 …

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Subaru Selects Xilinx to Power New-Generation EyeSight System

New ADAS technology debuts in the all-new Subaru Levorg for the Japanese market AUG 19, 2020–SAN JOSE, Calif.–(BUSINESS WIRE)– Xilinx, Inc. (NASDAQ: XLNX) today announced that its technology is powering the new version of Subaru’s vision-based advanced driver-assistance system (ADAS), EyeSight. Integrated into the all-new Subaru Levorg, the new EyeSight system will provide advanced features …

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“The Xilinx AI Engine: High Performance with Future-proof Architecture Adaptability,” a Presentation from Xilinx

Nick Ni, Director of Product Marketing at Xilinx, presents the “Xilinx AI Engine: High Performance with Future-proof Architecture Adaptability” tutorial at the May 2019 Embedded Vision Summit. AI inference demands orders- of-magnitude more compute capacity than what today’s SoCs offer. At the same time, neural network topologies are changing too quickly to be addressed by …

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Xilinx Expands Alveo Portfolio with Industry’s First Adaptable Compute, Network and Storage Accelerator Card Built for Any Server, Any Cloud

First low-profile PCIe Gen 4 card delivers dramatic improvements in throughput, latency and power efficiency for critical data center workloads SAN JOSE, Calif., Aug. 6, 2019 /PRNewswire/ — Xilinx, Inc. (NASDAQ: XLNX), the leader in adaptive and intelligent computing, today expanded its Alveo data center accelerator card portfolio with the launch of the Alveo™ U50. The …

Xilinx Expands Alveo Portfolio with Industry’s First Adaptable Compute, Network and Storage Accelerator Card Built for Any Server, Any Cloud Read More +

Xilinx Hits Milestone with First Customer Shipments of Versal ACAP

Built on 7nm process technology, Versal is the industry’s first adaptive compute acceleration platform SAN JOSE, Calif., June 18, 2019 – Xilinx, Inc. (NASDAQ: XLNX), the leader in adaptive and intelligent computing, today announced that it has shipped Versal™ AI Core series and Versal Prime series devices to multiple tier one customers through the company’s …

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2019 Vision Product of the Year Award Winner Showcase: Xilinx (Cloud Solutions)

Xilinx's AI Platform is the 2019 Vision Product of the Year Award Winner in the Cloud Solutions category. Xilinx’s AI Platform provides a comprehensive set of software and IP to enable hardware accelerated AI inference applications. AI vision applications, which rely on convolutional neural networks, are a major target for the Xilinx AI Platform. The …

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2018 Vision Product of the Year Award Winner Showcase: Xilinx (Cloud Technologies)

Xilinx's Machine Learning Suite is the 2018 Vision Product of the Year Award Winner in the Cloud Technologies category. The Xilinx Machine Learning Suite provides tools for accelerating vision applications in the cloud. The key innovation of the Xilinx Machine Learning Suite is that it enables cloud users of machine learning inference to get an …

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“Leveraging Edge and Cloud for Visual Intelligence Solutions,” a Presentation from Xilinx

Salil Raje, Senior Vice President in the Software and IP Products Group at Xilinx, presents the “Leveraging Edge and Cloud for Visual Intelligence Solutions” tutorial at the May 2018 Embedded Vision Summit. For many computer vision systems, a critical decision is whether to implement vision processing at the edge or in the cloud. In a …

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“Achieving 15 TOPS/s Equivalent Performance in Less Than 10 W Using Neural Network Pruning,” a Presentation from Xilinx

Nick Ni, Director of Product Marketing for AI and Edge Computing at Xilinx, presents the “Achieving 15 TOPS/s Equivalent Performance in Less Than 10 W Using Neural Network Pruning on Xilinx Zynq” tutorial at the May 2018 Embedded Vision Summit. Machine learning algorithms, such as convolution neural networks (CNNs), are fast becoming a critical part …

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“Exploiting Reduced Precision for Machine Learning on FPGAs,” a Presentation from Xilinx

Kees Vissers, Distinguished Engineer at Xilinx, presents the “Exploiting Reduced Precision for Machine Learning on FPGAs” tutorial at the May 2018 Embedded Vision Summit. Machine learning algorithms such as convolutional neural networks have become essential for embedded vision. Their implementation using floating-point computation requires significant compute and memory resources. Research over the last two years …

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Visual Intelligence Opportunities in Industry 4.0

In order for industrial automation systems to meaningfully interact with the objects they're identifying, inspecting and assembling, they must be able to see and understand their surroundings. Cost-effective and capable vision processors, fed by depth-discerning image sensors and running robust software algorithms, continue to transform longstanding industrial automation aspirations into reality. And, with the emergence …

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Software Frameworks and Toolsets for Deep Learning-based Vision Processing

This article provides both background and implementation-detailed information on software frameworks and toolsets for deep learning-based vision processing, an increasingly popular and robust alternative to classical computer vision algorithms. It covers the leading available software framework options, the root reasons for their abundance, and guidelines for selecting an optimal approach among the candidates for a …

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“OpenCV on Zynq: Accelerating 4k60 Dense Optical Flow and Stereo Vision,” a Presentation from Xilinx

Nick Ni, Senior Product Manager for SDSoC and Embedded Vision at Xilinx, presents the "OpenCV on Zynq: Accelerating 4k60 Dense Optical Flow and Stereo Vision" tutorial at the May 2017 Embedded Vision Summit. OpenCV libraries are widely used for algorithm prototyping by many leading technology companies and computer vision researchers. FPGAs can achieve unparalleled compute …

“OpenCV on Zynq: Accelerating 4k60 Dense Optical Flow and Stereo Vision,” a Presentation from Xilinx Read More +

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Cloud-versus-Edge and Centralized-versus-Distributed: Evaluating Vision Processing Alternatives

Although incorporating visual intelligence in your next product is an increasingly beneficial (not to mention practically feasible) decision, how to best implement this intelligence is less obvious. Image processing can optionally take place completely within the edge device, in a network-connected cloud server, or subdivided among these locations. And at the edge, centralized and distributed …

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“Caffe to Zynq: State-of-the-Art Machine Learning Inference Performance in Less Than 5 Watts,” a Presentation from Xilinx

Vinod Kathail, Distinguished Engineer and leader of the Embedded Vision team at Xilinx, presents the "Caffe to Zynq: State-of-the-Art Machine Learning Inference Performance in Less Than 5 Watts" tutorial at the May 2017 Embedded Vision Summit. Machine learning research is advancing daily with new network architectures, making it difficult to choose the best CNN algorithm …

“Caffe to Zynq: State-of-the-Art Machine Learning Inference Performance in Less Than 5 Watts,” a Presentation from Xilinx Read More +

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Camera Interfaces Evolve to Address Growing Vision Processing Needs

Before a still image or video stream can be analyzed, it must first be captured and transferred to the processing subsystem. Cameras, along with the interfaces that connect them to the remainder of the system, are therefore critical aspects of any computer vision design. This article provides an overview of camera interfaces, and discusses their …

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Deep Learning with INT8 Optimization on Xilinx Devices

This is a reprint of a Xilinx-published white paper which is also available here (1 MB PDF). Xilinx INT8 optimization provide the best performance and most power efficient computational techniques for deep learning inference. Xilinx's integrated DSP architecture can achieve 1.75X solution-level performance at INT8 deep learning operations than other FPGA DSP architectures. ABSTRACT The …

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“Semantic Segmentation for Scene Understanding: Algorithms and Implementations,” a Presentation from Auviz Systems

Nagesh Gupta, Founder and CEO of Auviz Systems, presents the "Semantic Segmentation for Scene Understanding: Algorithms and Implementations" tutorial at the May 2016 Embedded Vision Summit. Recent research in deep learning provides powerful tools that begin to address the daunting problem of automated scene understanding. Modifying deep learning methods, such as CNNs, to classify pixels …

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Accelerating Machine Learning: Implementing Deep Neural Networks on FPGAs

This introductory article discusses implementing machine learning algorithms on FPGAs, achieving significant performance improvements at much lower power. Newly available middleware IP, together with the SDAccel programming environment, enables software developers to implement convolutional neural networks (CNNs) in C/C++, leveraging an OpenCL platform model. Machine Learning in the Cloud: A Tipping Point The transformation of …

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OpenCL Streamlines FPGA Acceleration of Computer Vision

The substantial resources available in modern programmable logic devices, in some cases including embedded processor cores, makes them strong candidates for implementing vision-processing functions. The rapidly maturing OpenCL framework enables the rapid and efficient development of programs that execute across programmable logic fabric and other heterogeneous processing elements within a system. As mentioned in the …

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“Trade-offs in Implementing Deep Neural Networks on FPGAs,” a Presentation from Auviz Systems

Nagesh Gupta, CEO and Founder of Auviz Systems, presents the "Trade-offs in Implementing Deep Neural Networks on FPGAs" tutorial at the May 2015 Embedded Vision Summit. Video and images are a key part of Internet traffic—think of all the data generated by social networking sites such as Facebook and Instagram—and this trend continues to grow. …

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“Implementing Eye Tracking for Medical, Automotive and Headset Applications,” a Presentation From Xilinx and EyeTech Digital Systems

Dan Isaacs, Director of Smarter Connected Systems at Xilinx, and Robert Chappell, Founder of EyeTech Digital Systems, co-present the "Implementing Eye Tracking for Medical, Automotive and Headset Applications" tutorial at the May 2015 Embedded Vision Summit. When humans communicate with each other, we get important cues from watching each other’s eyes. Similarly, machines can gain …

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Smart Exterior Cameras Enhance Vehicle Safety, Security

This article was originally published at John Day's Automotive Electronics News. It is reprinted here with the permission of JHDay Communications. Cameras installed in various locations around a vehicle exterior, in combination with cost-effective, powerful and energy-efficient processors, deliver numerous convenience and protection benefits. The advanced driver assistance systems (ADAS) market is one of the …

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Smart Exterior Cameras Enhance Vehicle Safety, Security

This article was originally published at John Day's Automotive Electronics News. It is reprinted here with the permission of JHDay Communications. Cameras installed in various locations around a vehicle exterior, in combination with cost-effective, powerful and energy-efficient processors, deliver numerous convenience and protection benefits. The advanced driver assistance systems (ADAS) market is one of the …

Smart Exterior Cameras Enhance Vehicle Safety, Security Read More +

OpenCL Eases Development of Computer Vision Software for Heterogeneous Processors

OpenCL™, a maturing set of programming languages and APIs from the Khronos Group, enables software developers to efficiently harness the profusion of diverse processing resources in modern SoCs, in an abundance of applications including embedded vision. Computer scientists describe computer vision, the use of digital processing and intelligent algorithms to interpret meaning from still and …

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OpenCL Eases Development of Computer Vision Software for Heterogeneous Processors

OpenCL™, a maturing set of programming languages and APIs from the Khronos Group, enables software developers to efficiently harness the profusion of diverse processing resources in modern SoCs, in an abundance of applications including embedded vision. Computer scientists describe computer vision, the use of digital processing and intelligent algorithms to interpret meaning from still and …

OpenCL Eases Development of Computer Vision Software for Heterogeneous Processors Read More +

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Xilinx Expands 20 nm Kintex UltraScale Portfolio for the Most Demanding Data Center Acceleration, Video and Signal Processing Applications

Kintex UltraScale KU115 FPGA is now shipping SAN JOSE, Calif., Nov. 4, 2014 – Xilinx, Inc. (NASDAQ: XLNX) today announced the expansion of its 20 nm portfolio with shipment of the Kintex® UltraScaleTM KU115 FPGA. As the flagship of the Kintex UltraScale family, the KU115 offers the highest DSP count available in a single programmable …

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Practical Computer Vision Enables Digital Signage with Audience Perception

This article was originally published at Information Display Magazine. It is reprinted here with the permission of the Society of Information Display. Signs that see and understand the actions and characteristics of individuals in front of them can deliver numerous benefits to advertisers and viewers alike.  Such capabilities were once only practical in research labs …

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High-Performance Machine Vision Systems Using Xilinx 7 Series Technology

This is a reprint of a Xilinx white paper also found here (PDF). Xilinx and its Alliance partner Sensor to Image have created hardware, software, IP, and whole turn-key system solutions for the growing high-performance Machine Vision market. By Mark Timmons Xilinx, Inc. and Werner Feith Sensor to Image, GmbH Abstract The Machine Vision market …

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Industrial Automation and Embedded Vision: A Powerful Combination

A version of this article was originally published at InTech Magazine. It is reprinted here with the permission of the International Society of Automation. In order for manufacturing robots and other industrial automation systems to meaningfully interact with the objects they're assembling, as well as to deftly and safely move about in their environments, they …

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May 2014 Embedded Vision Summit Technical Presentation: “Programming Novel Recognition Algorithms on Heterogeneous Architectures,” Kees Vissers, Xilinx

Kees Vissers, Distinguished Engineer at Xilinx, presents the "Programming Novel Recognition Algorithms on Heterogeneous Architectures" tutorial at the May 2014 Embedded Vision Summit. The combination of heterogeneous systems, consisting of processors and FPGA, is a high-performance implementation platform for image and vision processing. One of the significant hurdles in leveraging the compute potential was the …

May 2014 Embedded Vision Summit Technical Presentation: “Programming Novel Recognition Algorithms on Heterogeneous Architectures,” Kees Vissers, Xilinx Read More +

April 2013 Embedded Vision Summit Technical Presentation: “Vision-Based Automotive Driver Assistance Systems: Challenges and Approaches,” Paul Zoratti, Xilinx

Paul Zoratti, Automotive Driver Assistance System Architect at Xilinx, presents the "Vision-Based Automotive Driver Assistance Systems: Challenges and Approaches" tutorial within the "Embedded Vision Applications" technical session at the April 2013 Embedded Vision Summit.

April 2013 Embedded Vision Summit Technical Presentation: “Challenges and Opportunities in Accelerating OpenCV,” José Alvarez, Xilinx

José Alvarez, Engineering Director for Video Technology at Xilinx, presents the "Challenges and Opportunities in Accelerating OpenCV" tutorial within the "Developing Vision Software, Accelerators and Systems" technical session at the April 2013 Embedded Vision Summit. Computer vision continues to see increased adoption across a wide variety of applications. The industry's trend towards the incorporation of …

April 2013 Embedded Vision Summit Technical Presentation: “Challenges and Opportunities in Accelerating OpenCV,” José Alvarez, Xilinx Read More +

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The Embedded Vision Revolution

Semiconductor and software advances are enabling medical devices to derive meaning from digital still and video images. By Brian Dipert Editor-in-Chief, Embedded Vision Alliance Senior Analyst, BDTI and Kamran Khan Technical Marketing Engineer, Xilinx This article was originally published in the May 2013 edition of MD+DI (Medical Device and Diagnostic Industry) Magazine. It is reprinted …

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An Architecture for Compute-Intensive, Custom Machine Vision

By Tom Catalino Vice President Critical Link, LLC and Asheesh Bhardwaj DSP Senior Applications Engineer Texas Instruments This is a reprint of a Texas Instruments-published white paper, which is also available here (560 KB PDF). Introduction Machine vision technology is growing in adoption, and it has been and will continue to be deployed in a …

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Using Xilinx FPGAs to Solve Endoscope System Architecture Challenges

By Jon Alexander, Technical Marketing Manager for ISM (Industrial, Scientific, Medical) Markets Xilinx Corporation Image enhancement functions – noise reduction, edge enhancement, dynamic range correction, digital zoom, scaling, etc – are key elements of many embedded vision designs, in improving the ability for downstream algorithms to automatically extract meaning from the image. Interface flexibility and …

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September 2012 Embedded Vision Summit Presentation: “Image Processing for Object Recognition and Tracking,” Dan Isaacs, Xilinx, and Michael Fawcett, iVeia

Dan Isaacs, Director of Processing Product Marketing at Xilinx, and Michael Fawcett, Chief Technology Officer at iVeia, presents the "Image Processing for Object Recognition and Tracking" tutorial, part of the "Embedded Vision Applications and Algorithms" technical session at the September 2012 Embedded Vision Summit. Topics discussed included trends in image processing for embedded vision applications, …

September 2012 Embedded Vision Summit Presentation: “Image Processing for Object Recognition and Tracking,” Dan Isaacs, Xilinx, and Michael Fawcett, iVeia Read More +

Designing High-Performance Video Systems in 7 Series FPGAs with the AXI Interconnect

By Sateesh Reddy Jonnalagada and Vamsi Krishna Xilinx Corporation Embedded vision applications deal with a lot of data; a single 1080p60 (1920×1080 pixel per frame, 60 frames per second) 24-bit color video stream requires nearly 3 Gbps of bandwidth, and 8-bit alpha (transparency) or 3-D depth data further amplifies the payload by 33% in each …

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HD Video Processing using Xilinx’s Zynq-7000 EPP for Intelligent Video Systems

Rapidly emerging applications in the area of embedded vision require ability to do real-time processing of one or more streams of HD video at high frame rates. In this demonstration, Xilinx's Navanee Sundaramoorthy, Product Manager for Processing Platforms, shows how you can use the Zynq-7000 Extensible Processing Platform with dual ARM Cortex-A9 processors and programmable …

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Image Color Conversion and Formatting Using FPGAs

Converting images from one color domain to another is a common and often misunderstood operation in embedded vision processing. Image formats and color spaces vary when information is interchanged among processing domains. FPGAs provide a flexible, fast and scalable way of converting images using readily available IP cores. This video tutorial from José Alvarez, Video …

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Introduction to Video and Image Processing System Design Using FPGAs

By José Alvarez Video Technology Engineering Director Xilinx Corporation José Alvarez, Video Technology Engineering Director at Xilinx Corporation, introduces the basic steps in the development of embedded vision systems: overall system definition, building IP processing pipelines using simulation models to speed up evaluation, using Targeted Design Platforms for rapid exploration and implementation, and establishing a …

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Embedded Vision: FPGAs’ Next Notable Technology Opportunity

By Brian Dipert Editor-In-Chief Embedded Vision Alliance Senior Analyst BDTI This article was originally published in the First Quarter 2012 issue (PDF) of the Xilinx Xcell Journal. It is reprinted here with the permission of Xilinx. A jointly developed reference design validates the potential of Xilinx’s Zynq device in a burgeoning application category. By Brian …

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Implementing an Image Signal Processing Pipeline using FPGAs

By José Alvarez Video Technology Engineering Director Xilinx Corporation José Alvarez, Video Technology Engineering Director at Xilinx Corporation, follows up his premier video in this tutorial series with the discussion of a flexible ISP (image signal processing) implementation using readily available dynamic processing blocks in an FPGA.

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Automotive Driver Assistance Systems: Using the Processing Power of FPGAs

By Paul Zoratti Driver Assistance Senior System Architect Automotive Division Xilinx Corporation This is a reprint of a Xilinx-published white paper which is also available here (344 KB PDF). In the last five years, the automotive industry has made remarkable advances in driver assistance (DA) systems that truly enrich the driving experience and provide drivers …

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Using FPGAs to Interface to and Process Data from Image Sensors

By José Alvarez Video Technology Engineering Director Xilinx Corporation José Alvarez, Video Technology Engineering Director at Xilinx Corporation, discusses the benefits of using FPGAs to interconnect with diverse-interface image sensors, and to process the data coming from those sensors.

Conversation with Jose Alvarez of Xilinx

Jeff Bier has a conversation with Jose Alvarez to gain insights into R&D and Engineering for Embedded Vision at Xilinx.

Here you’ll find a wealth of practical technical insights and expert advice to help you bring AI and visual intelligence into your products without flying blind.

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