Xilinx Showcases New Solutions and Technologies for Software and Hardware Developers as Xilinx Adapt 2021 Kicks Off
Xilinx (NASDAQ: XLNX) announced innovative solutions at Xilinx Adapt 2021, targeting software and hardware developers. Key highlights include the launch of the Vitis Video Analytics SDK, which supports intelligent video applications, and an expanded video and imaging IP portfolio for UltraScale+ and Versal devices. The Adaptive Computing Challenge 2021 was also introduced, offering $70,000 in prizes. The conference runs from September 7-16, featuring over 100 presentations aimed at advancing adaptive computing across various industries.
- Launch of Vitis Video Analytics SDK facilitating intelligent video analytics applications.
- Expanded video and imaging IP portfolio enhances capability for 8K video applications.
- Adaptive Computing Challenge 2021 with $70,000 in awards encourages innovation and engagement.
- None.
Week one unveils software developer kit for intelligent video analytics applications, an expanded video and imaging IP portfolio and developer design contest
The company also announced that Hackster.io will again be conducting its Adaptive Computing Challenge design contest with
Taking place
“The first week of Xilinx Adapt is designed to educate new, as well as advanced developers on the latest development environments and resources available to more easily build applications on
Adapt 2021 news highlights for week one targeting the developer communities includes the following:
Intelligent Video Analytics Applications
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New Vitis™ Video Analytics SDK, a video analytics software development kit providing a complete software stack for intelligent video analytics applications on
Xilinx platforms, deployed edge-to-cloud. The end-to-end video analytics solution enables video decoding, pre-processing, AI inference, tracking and post-processing for whole application acceleration. It supports widely used AI models such asYOLO , SSD, ResNet, Inception, RefindDet, ReID, FPN and OpenPose for real-time objection detection, classification and segmentation.
Vitis Video Analytics SDK provides the foundational layer for video analytic applications such as understanding vehicle and pedestrian traffic patterns in smart cities, health and safety monitoring in hospitals, self-checkout and analytics in retail, and detecting component defects at manufacturing facilities.
In addition, it provides a complete framework for developers to create their own innovations with generic infrastructure plugins, software acceleration libraries, and an interface to develop a custom acceleration library to control a custom hardware accelerator. Vitis Video SDK builds on top of and abstracts the complex interfaces ofXilinx ®Run Time (XRT) and Vitis AI tools, making it easy for developers to build video analytics and transcoding pipelines without having to learn the complexities of XRT and Vitis AI tools.
Expanded Video and Imaging IP Portfolio
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Xilinx is enabling higher-quality 8K video capture and 8K display with the industry’s first HDMI 2.1 and DisplayPort (DP) 1.4 with UltraScale+ and Versal products. Combining HDMI 2.1 or DP 1.4 with its 8K scaler and mixer IPs allows customers to build a complete, end-to-end 8K video pipeline. To provide gamers with immersive gaming experiences, Xilinx video and imaging portfolio now includesHigh Dynamic Range (HDR), High Frame Rates and Variable Refresh Rate formats and adaptive sync across the UltraScale+ and Versal product families.
Other advanced new capabilities in the video IP portfolio include 4k60 Warp with horizontal and vertical keystone correction, lens distortion correction, rotation and arbitrary warp for video walls, advanced conferencing cameras, projectors and applications in automotive.
Xilinx is also announcing the availability of comprehensive and improved Vitis Vision libraries used by developers across automotive, industrial machine vision and smart camera applications, which includes Image Signal Processing (ISP) with HDR and pre- and post-processing functions for machine learning (ML) neural networks with the OpenCV API.
Finally, the upcoming Vivado® release 2021.2 will support 4:4:4 YUV color space within theXilinx ® Zynq® UltraScale+ EV family. Combined with Xilinx’s HDMI, DP, video processing and video mixer IPs, and the migration of broadcast and Pro AV to a standards-based approach to transporting AV over IP networks, 4:4:4 color space gives customers the full fidelity of streamed video. Vivado 2021.2 is expected to be released by end of year.
Adaptive Computing Challenge 2021
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Hackster.io is again challenging developers to combine the power of
Xilinx adaptive computing platforms with the Vitis unified software platform, Vitis AI development environment or Vivado ML Edition to solve real-world problems. Contestants in the 2021 Adaptive Computing Challenge will compete in three categories: edge computing, data center AI and big data analytics, which includes early access to a new big data analytics developer board for big data and associated applications. Top prize in each category is .$10,000 USD
In addition, the Xilinx University Program is sponsoring Adaptive Computing Challenge submissions from college students for projects in each of the three categories for an additional prize. The contest is designed to encourage innovation in adaptive compute acceleration at colleges and universities.$2,500 USD
Finally, encouraging and celebrating the talents of women is a key initiative forXilinx . To further support diversity in the technology space,Xilinx is sponsoring a new Women in Technology award with a cash prize of . Teams composed of at least 50 percent women are eligible to submit their project for this additional award, alongside their edge computing, data center AI and big data analytics submissions.$2,500 USD
To participate in the Adaptive Computing Challenge 2021, visit https://www.hackster.io/contests/xilinxadaptivecomputing2021.
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