Adaptive Computing - Page 2

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Adaptive Computing - Page 2


Your source for Adaptive Computing announcements, customer success stories, industry trends, and more.


AMD is excited to announce the Spartan™ UltraScale+™ FPGA, our newest cost-optimized FPGA. Ideal for cost-sensitive applications requiring low power and high I/O, this new family targets a wide range of industries, including Industrial, Robotics, Smart City, Computer Vision, Healthcare, Video and Broadcast, and more.

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Support for Spartan 6 FPGAs is extended through at least 2030 and includes all speed and temperature grades.

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The AMD Robotics Innovation Challenge invites participants to explore the benefits and advantages of AMD Kria SOMs to create solutions that integrate adaptive computing into their robotics projects.

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AMD introduces two additions to the AMD Automotive XA Artix+™  UltraScale+™ family: the XA AU10P and XA AU15P cost-optimized FPGAs, which are automotive-qualified and optimized for use in advanced driver-assistance systems (ADAS) sensor applications.

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As digital signal processing (DSP) compute requirements grow to support everything from radar systems and medical imaging to high-performance test equipment and 5G wireless systems, so does the need for computing solutions that deliver on performance and power requirements.  

When exploring the implementation of these solutions, using ASICs with fixed functions can mean additional hardware and software redesigns. With a rich set of hardware-accelerated open-source libraries accessible through design tools, SoCs and FPGAs unleash a more efficient and flexible path to meet evolving demands.  

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In a world of growing design size and complexity, the industry will continue to see SoC and FPGA designs require higher performance at lower power. At AMD, we know that staying ahead means finding more efficient ways to optimize these designs for maximum performance. 

The AMD Vivado™ Design Suite is the industry’s first electronic design automation tool powered by machine learning. This high-performance development environment gives hardware developers and systems architects an advantage in designing, integrating, and implementing systems—to streamline the design cycle and deliver better results. 

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In the first entry of the “Any Media over Any Network” series, we discussed AV-over-IP and how much of the industry is beginning to adopt it in some form. This adoption is seen in a wide range of markets like enterprise, higher education, broadcast, and live events.  Each system has different requirements which can make the setup process complex, time consuming, and costly. This is where AMD partner, Audinate, comes in with its Dante product line. The product’s easy integration and use makes AV system setup and installation simple.

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Last April, “Up a Creek Robotics” (Team 1619) from Longmont, Colo., took home the first-place prize at the annual FIRST® Championship in Houston, Texas. The team, made up of more than 80 local high-school-aged students from the St. Vrain School District, is vying for a repeat performance this year.

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In broadcast, the transition to IP networks and replacement of SDI (serial digital interface), especially in greenfield deployments, is already well under way, and much of the industry agrees that SMPTE ST 2110 should be the ubiquitous standard used for compressed and uncompressed media transport. ST 2110 enables the delivery of independent audio, video, and data streams on the network, which means each so-called essence can be handled and processed separately, with IEEE1588-based PTP synchronization and NMOS (Networked Media Open Specifications) network control and management. 

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Vincent_Fung
Staff
Staff

AMD Xilinx Video SDK 3.0 brings additional enhancements to the already feature-rich Video SDK 2.0. It is now available to Alveo™ U30 media accelerator card users through  on-premises setups (support by AWS’s Amazon EC2 VT1 instances coming soon). With Video SDK 3.0 and a multimedia framework/toolkit (such as GStreamer, FFmpeg, and XMA), users can continue to cost-effectively scale their live video transcoding with even greater ease.

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