Video: CDN Trends in FPGAs & GPUs

As technology continues to improve, immersive experiences are all the more feasible. This video looks at how the CDNs can play their part in enabling technologies which seem to rely on fast, local, compute. However, as with many internet services, low latency is very important.

Greg Jones from Nvidia and Nehal Mehta form Intel give us the lowdown in this video on what’s happening today to enable low-latency CDNs and what the future might look like. Intel, owners of FPGA makers Altera, and Nvidia are both interested in how their products can be of as much service at the edge as in the core datacentres.

Greg is involved in XR development at Nvidia. ‘XR’ is a term which refers to an outcome rather than any specific technology. Ostensibly ‘eXtended’ reality, it includes some VR, some augmented reality and anything else which helps improve the immersive experience. Greg explains that the importance of getting the ‘motion to photon’ delay to within 20ms. CDNs can play a role in this by moving compute to the edge. This tracks with current trends on wanting to reduce backhaul, edge computation is already on the rise.

Greg also touches on recent power improvements on newer GPUs. Similar to what we heard the other day from Gerard Phillips from Arista who said that switch manufacturers were still using technology that CPU’s were on several years ago meaning there’s plenty in the bank for speed increases over the coming years. According to Greg, the same is true for GPUs. Moreover, it’s important to compare compute per watt rather than doing it in absolute terms.

Nehal Mehta explains that, in the same way that GPUs can offload certain tasks from the CPU, so do FPGAs. At scale, this can be critical for tasks like deep packet inspection, encryption or even dynamic ad insertion at the edge,

The second half of video looks at what’s happening during the pandemic. Nehal explains that need for encryption has increased and Greg sees that large engineering functions are now, or many are soon likely to be, done in the cloud. Greg sees XR as going a long way to helping people collaborate around a large digital model and may help to reduce travel.

The last point made is regarding video conferencing all day long leaving people wanting “more meaningful interactions”. We are seeing attempts at richer and richer meeting experiences, both with and without XR.
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Speakers

Greg Jones Greg Jones
Global Business Development, XR
NVIDIA
Nehal Mehta Nehal Mehta
Direcotr Visiual Cloud, CDN Segment,
Intel
Tim Siglin Moderator: Tim Siglin
Founding Executive Director,
Help Me Stream

Video: Hardware Transcoding Solutions For The Cloud

Hardware encoding is more pervasive with Intel’s Quick Sync embedding CUDA GPUs inside GPUs plus NVIDIA GPUs have MPEG NVENC encoding support so how does it compare with software encoding? For HEVC, can Xilinx’s FPGA solution be a boost in terms of quality or cost compared to software encoding?

Jan Ozer has stepped up to the plate to put this all to the test analysing how many real-time encodes are possible on various cloud computing instances, the cost implications and the quality of the output. Jan’s analytical and systematic approach brings us data rather than anecdotes giving confidence in the outcomes and the ability to test it for yourself.

Over and above these elements, Jan also looks at the bit rate stability of the encodes which can be important for systems which are sensitive to variations such services running at scale. We see that the hardware AVC solutions perform better than x264.

Jan takes us through the way he set up these tests whilst sharing the relevant ffmpeg commands. Finally he shares BD plots and example images which exemplify the differences between the codecs.

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Download the slides
Speaker

Jan Ozer Jan Ozer
Principal, Streaming Learning Center
Contributing Editor, Streaming Media

Video: Towards Measuring Perceptual Video Quality & Why

In the ongoing battle to find the minimum bitrate for good looking video, automation is key to achieving this quickly and cheaply. However, metrics like PSNR don’t always give the best answers meaning that eyes are still better the job than silicon.

In this talk from the Demuxed conference, Intel’s Vasavee Vijayaraghavan shows us examples of computer analysis failing to identify lowest bitrate leaving the encoder spending many megabits encoding video so that it looks imperceptibly better. Further more it’s clear that MOS – the Mean Opinion Score – which has a well defined protocol behind it continues to produce the best results, though setting up and co-ordinating takes orders of magnitude more time and money.

Vasavee shows how she’s managed to develop a hybrid workflow which combines metrics and MOS scores to get much of the benefit of computer-generated metrics fed into the manual MOS process. This allows a much more targeted subjective perceptual quality MOS process thereby speeding up the whole process but still getting that human touch where it’s most valuable.

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Speaker

Vasavee Vijayaraghavan Vasavee Vijayaraghavan
Cloud Media Solutions Architect,
Intel

Video: Comparing and Choosing The Best HEVC Codec


On-demand Presentation
Content distributors and aggregators adding HEVC to their delivery pipeline will have plenty of codec options, but who has the time to evaluate their features, output quality, and performance?

No worries—codec specialist Jan Ozer has done the work for you. He’s evaluated leading contenders like x265, MainConcept, Beamr, Intel, and NTT and he’ll share his results. You’ll walk away from this session with a much clearer picture of the strengths and weaknesses of your HEVC encoding options for VOD streaming.
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