Flow Computing Podcast Series: Prof. Dr. Jörg Keller on Video processing & beyond (Episode 3: Use cases of PPU)

In Episode 3 of our Flow Computing podcast series, Prof. Dr. Jörg Keller moves beyond AI to explore real-world applications where the PPU's flexibility delivers significant performance improvements. Prof. Keller highlights the growing demands of video processing as a prime example.

Professor Keller explains that video applications, both encoding and decoding, exhibit a high degree of parallelism that often remains untapped by current CPU architectures. With the rise of 4K resolution and higher frame rates, the need for efficient parallel processing becomes even more critical.

"Applications that are run nowadays quite frequently are applications that have to do with video. So the easiest thing might be video decoders when we just play some video that has been pre-recorded. Those decoders typically exhibit a sufficient amount of parallelism which currently is often not exploited or not exploited very well." - Prof. Dr. Jörg Keller

Transcript

JÖRG KELLER: Applications that are run nowadays quite frequently are applications that have to do with video. So the easiest thing might be video decoders when we just play some video that has been pre recorded.

JK: Those decoders typically exhibit a sufficient amount of parallelism which currently is often not exploited or not exploited very well. On the other hand, we have a growing fraction of videos going from high definition to 4K resolution. And also we are seeing higher frame rates. So we need more processing performance and this could be delivered by parallelization via PPU without the need for much energy hungry processes.

JK: The other side is production of synthetic video from scripts, for example, presenting avatars or explaining things to people without having pre-recorded videos. So the production of videos also needs computing performance in real time, which could be provided again through PPU cores, which are less power hungry than the usual CPU course than we have today.

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