Adaptive Computing - Page 4

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Adaptive Computing - Page 4


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


The adoption of 8K video creates new challenges for designers of equipment that need to ingest, process, and transmit 8K video.

To ingest and transmit 8K video, interfaces must deliver four times the bandwidth of their 4K predecessors, resulting in interfaces with more data lanes, higher speeds, or both. AMD Versal™ adaptive SoCs (System-on-Chips) are well suited to such interfaces (those with line rates of 20 Gbps or more) because they offer GTY or GTYP transceivers that are capable of rates up to 32 Gbps, which is a capability that was limited to only larger devices in the previous generation of adaptive SoCs. Examples of these high-rate interfaces include DisplayPort™ 2.1 and SMPTE ST 2110

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Audio/Video (AV) interfaces are an integral part of any display system as they transfer the data required to stream content, play games, and show high-quality images. To the end-customer, they don’t appear to change, but these interfaces are continuously evolving to keep up with the latest display standards. Now that systems are moving from 4K to 8K (and beyond), they are handling more data than ever before, and standards are evolving to support that.  

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8K has emerged as the latest standard in ultra-high definition (UHD) video, offering four times the resolution of 4K and sixteen times the resolution of Full HD (Figure 1). While it may have seemed like overkill at first, 8K video is gaining traction in professional media and emerging in consumer applications. In this blog series, we'll explore why 8K video is being adopted, its benefits and potential drawbacks, the technical challenges of connecting, processing and compressing 8K content, and how AMD platforms are enabling the next wave of immersive viewing capabilities.  

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Industry 5.0 is revolutionizing manufacturing. Future 6G wireless networks will connect us in new and exciting ways. And artificial intelligence is poised to transform every part of our lives.

We don’t yet know how advances in these and other areas will change our world. But we do know that AMD, building on years of leadership from Xilinx, will be there to help enable every groundbreaking technology that innovators dream up.

AMD acts as a catalyst, making next-generation compute technology a reality through high-performance emulation and prototyping. Time after time, we build breakthrough hardware—adaptive SoCs and FPGAs—designed to facilitate verification of increasingly complex semiconductors and shift software validation to the left in the design cycle.

 

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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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