8k red code raw footage
How do you work with files that are multiple hundreds of megabytes per second of recording with a complex and
Proprietary compression algorithm that allows them to retain effectively
Nearly the full raw quality of the footage while taking up a fraction of the space
well
LG's monitor team seems to have an interest in this and the many technological challenges faced by creative professionals because they sponsor
This video featuring their 49 WL 95 C
Ultra wide monitor where I'll be figuring out just that
So in the old days when anywhere from 4k to 6k was cutting-edge the solution was this
$7,000 red rocket X card
But in spite of it using either a custom ASIC or an FPGA so both highly specialized hardware
even
These puppies were easily overwhelmed by the epic W and the red weapon featuring reds 8k
Helium sensor. So now this is
basically an expensive paperweight
ha
That's it
That's the joys of cutting-edge technology, right?
Fortunately NVIDIA has been running around doing demos with their RTX series graphics cards showing GPU
accelerated real-time full quality
8k playback so then is this the new way now
$1,300 is still a lot of money, but it's a lot less than
$7,000 could this be progress?
It's only one way to find out
So my first encounter with this monster was back at CES and while 49 inch ultra wides like this one
So 32 by 9 aspect ratio look at this thing have existed before
What makes this one special is that the pixel density
Since it's effectively
5k by 1440 is much higher than the ones that have existed before making it actually suitable for creative work
So it has become apparent that I'm going to need to clear some space
So it has become apparent that I'm going to need to clear even more space
Wow, that's a lot of timeline even with
with my task manager open here.
Okay, so first order of business
is to fire up a plausible project.
So this is an episode of Fast as Possible
and use the normal workstations that we have downstairs.
So my CPU is a little better.
This is a 7980XE 18 core processor,
and this is a GTX Titan X Pascal.
So first things first,
we've got ourselves at one quarter resolution.
You can see scrubbing around in the timeline,
nice and responsive.
Playback, basically instantaneous,
but whenever I'm not paused,
you can see it's quite fuzzy,
not representative of the finished product.
So let's crank it up to full.
So this is 8K and this is working just fine.
No problem whatsoever.
And in fact, while I'm playing it back,
we're sitting at a mere 10 to about 30% CPU usage
and our GPU is sitting tight at 25 to 30%.
So at first,
I was kind of confused by all of this.
It's been a while since I've looked into 8K performance
on the timeline.
And I was thinking, well, hold on a second.
Is there nothing special about these RTX cards
that makes them suitable for this?
Why does NVIDIA keep talking about this?
And then I remembered something.
We shoot most of our projects
at a much higher compression ratio
than what they would use while shooting
a VFX heavy Hollywood production,
for example.
So our data rates are much lower.
So let's go get some seven to one footage.
So let's start with a sample from RED here.
This is a seven to one compression ratio,
8K clip that was recorded at 24 frames per second.
So let's go ahead and fire this bad boy up,
hit that playback button and ouch.
We are looking at spikes of up to 90.
95% on our GPU and CPU usage that is pinned at 100%
while trying to play back that clip.
That is a stark contrast to the,
I think we used 20 to one, is that right, David?
To the 20 to one footage that we capture.
And that's not even the worst of it.
Here's some 8K seven to one footage
at 30 FPS that we captured.
Let's go ahead and drag that onto the timeline.
Yeah, woof.
Not quite.
Yeah, he moves like that.
Sure, why not?
So what's weird though,
is that even with the heaviest footage
that we could throw at our workstation,
our GPU is actually neither sitting idle
nor completely maxed out.
So it's being used to handle the debayering process,
which reconstructs the full color image that we see here
from the samples that are collected by the image sensor.
But our CPU is still in charge of the,
entropy decoding,
which is a process that allows the most common input signals
to be substituted for much shorter ones,
saving space and wavelet decoding,
which frankly, I'm not familiar enough with
to offer even a basic explanation
and the Wikipedia article wasn't much help.
Anyway though, so maybe our problem here
is we just need more CPU horsepower to keep our GPU fed.
AMD to the rescue then?
Why don't we try going, oh, oh, oh, oh, oh, oh, oh, oh, oh, oh.
Why don't we try going from 18 to 32 processor cores?
Building in progress.
Mission failed.
Okay, it worked.
Didn't do anything.
And interestingly, our GPU usage is higher, near 100%.
So this is kind of fascinating.
I've said it many times before
that every system is effectively bottlenecked
because there's something that is slowing down the process
or else it would be infinitely fast.
But this is like double bottlenecked.
It's like they're perfectly matched to each other,
but still not enough for the task.
This is great too.
Look what happens to timeline scrolling
when my CPU's at 100% usage.
So while I was troubleshooting to prepare for this video,
I actually spent some of my time with the RTX 2080
rather than the RTX 2080 Ti,
because what I thought,
was that this functionality had something to do
with their new NVENC engine.
But actually it doesn't.
In fact, there's nothing about the tensor cores
or the ray tracing cores or anything like that
that makes the RTX card so good at this.
It's just the sheer frigging processing power
of all those CUDA cores.
So we are gonna jump for 8K, seven to one footage,
straight to the RTX 2080 Ti.
And you might think to yourself,
well, gee Linus, that's a 1200 to 1300 US dollar graphics card.
Of course it can handle it,
but that's not necessarily to be taken for granted.
I mean, we installed CPUs that cost up to $2,000
and they couldn't do it.
It's all about having the right tool for the job.
Okay, everything's working normally.
Here we go.
This is the moment.
I mean, now that has kinda gotten its act together,
that's a lot better.
We are now at 100% CPU, 95% GPU,
but we are still dropping frames.
So that's it then.
No CPU on earth can handle this 30 frames per second,
8K, seven to one,
Red code raw footage at least not as long as it has to handle the entropy decoding and wavelet decoding
What if we could offload those to the GPU we are going to need a beta version of Red's decoder
That unfortunately isn't supported by Adobe Premiere at this time
Fortunately, it's built into the beta of Red Cine X Pro and we're gonna start with the 24 FPS footage now
It's a little flaky right now. I'm actually not sure if this is going to work, but let's go ahead and give it a shot
so we're gonna enable
GPU decode and
It's flaking out on me. So it's running it like eight frames per second
Fortunately the fix right now seems to be to just toggle between image pipelines and there it is
Smooth 8k playback that hitch by the way is the clip
Restarting but that's not even the most
Impressive part. So our CPU is sitting at just 10%
Utilization and our GPU is up at 77 80 percent utilization. So we
Potentially have some headroom to spare
So our overall usage for the system is way down like 10% of our 32 cores
We could be doing this on a more human workstation
You know one with six or eight cores by offloading this
We could be doing this work to the GPU because the thing to remember as well
Is that when we were pinning both our CPU and GPU at a hundred percent?
That was just playback. We weren't even applying any real-time effects like
Denoising the footage or or anything like that. We were at the limit now. We have headroom to play with
Let's go ahead and try our 30 FPS footage though
That's actually working a little bit better than I expected when I the first time around
I actually had to overclock the GPU a little bit to get this quite so smooth, but you know what I'm taking it
So there it is our GPU CUDA usage jumps up near
90%
But our CPU stays at 10% and we are smoothly playing back
7 to 1
8k red footage at 29.97 frames per second
Can we get some applause sound effect?
In the video or something? I don't know. This is crazy
So all that's left now then is to thank LG for sponsoring this video featuring their 49 WL 95 CW
Ultra wide monitor
I mean
I think it's pretty obvious why they wanted us to feature this in this video because it's designed for content creators like photographers
Filmmakers music producers and more who can really benefit from this
Kind of a canvas being able to work on more than one thing
simultaneously or just be able to manage and see
extremely long timelines without zooming out giving them a finer degree of control and it's not even just for creators
But office work would also be a great option someone like a programmer
Stock trader or really anyone who needs a ton of side-by-side screen real estate because it's basically
Exactly the same as having two
2560 by 1440 monitors side by side
Except that you have no bezel in between LG's also been hard at work on software that allows you to take two inputs
So like your desktop and your laptop and seamlessly share your mouse and keyboard between them just like moving between them
So you can control two systems at once. It's got full support for USB type-c including power delivery
So you can use it as a single cable docking solution for your laptop
And it's got support for HDR 10 with two 10 watt speakers built-in. In fact, it was didn't realize they were gonna be that loud
That happened that happened a couple times during the video
So check it out at the link in the video description, and I guess that's pretty much it
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