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Visit Xilinx at Streaming Media East to learn about accelerating live stream video 10x at cloud scale.

The following showcases and demos will be featured throughout the show in the Xilinx booth.

  • Highest picture quality, faster than real-time HEVC, VP9 encoder
  • Realtime video transcoding with machine learning (FFmpeg)
  • Visual experience engine powering the future of digital media
  • Lowest power, lowest latency 4K HEVC streaming with adaptable I/O

 

Booth Information

Booth # 119
New York Hilton Midtown
New York, NY

Tuesday, May 8
8:00 a.m. – 6:00 p.m.

Wednesday, May 9
8:00 a.m. – 4:00 p.m.

Learn More

Xilinx Conference Participation
Xilinx experts will be participating in the following product showcases.

Video Acceleration in the Cloud: Setting a New Paradigm (1 of 2)
Wednesday, May 9
10:30 a.m. – 10:50 a.m.

The amount of processing needed to run video workloads is growing rapidly. This stems from higher resolutions, higher frames rates, migration to higher bit-depths, and newer more complex codecs like VP9, HEVC and AV1. Considering all of these factors, the industry is facing 10-50x higher demand on its infrastructure compute needs for video workloads.  This is happening while the volume of live video streams that require processing is growing exponentially. This session will explore the value proposition of adaptable video acceleration.

Video Acceleration in the Cloud: Setting a New Paradigm (2 of 2)
Wednesday, May 9
10:55 a.m. – 11:15 a.m.

Acceleration for video workloads has been established as a crucial need from an operational point-of-view. In this presentation we will show how Xilinx FPGAs are the perfect solution to accelerate these workloads. FPGAs offer full flexibility and configurability while maintaining substantial performance density and performance per watt increases over non-accelerated solutions. We will provide examples of how an FPGA can be programmed through regular C/C++ languages and how video encode acceleration is established. We will show benchmark comparisons of alternative implementations and examples of how Xilinx’s accelerated video transcoding ecosystem plugs seamlessly and transparently into common video frameworks like FFmpeg.

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