[Jasper_]

> As but one example: media encoding is pretty close to being "embarrassingly parallel" in principle

Which part? 90% of what you're doing is context or inter-frame dependent. Video encoders that live on graphics cards today use dedicated ASIC hardware.

[clouddrover]

You can divide the video into chunks and encode the chunks in parallel. This is what Netflix does:

https://medium.com/netflix-techblog/high-quality-video-encod...

https://medium.com/netflix-techblog/dynamic-optimizer-a-perc...

Works well when you're doing video at the scale of Netflix, but not necessarily much help to the individual user who just wants to encode a video.

[Jasper_]

> You can divide the video into chunks and encode the chunks in parallel

You can do this with zlib too (zlib divides a file up into 64k chunks). Doesn't mean that zlib is well-suited for GPUs, nor is each chunk "embarrassingly parallel". Neither Netflix post talks about using the GPU at all.

[Ace17]

> You can divide the video into chunks and encode the chunks in parallel.

What about live encoding?

[clouddrover]

You can split the encoding across 32 cores:

https://bitmovin.com/constantly-evolving-video-landscape-dis...

https://bitmovin.com/bitmovin-supports-av1-encoding-vod-live...