Double and triple buffering are techniques in GPU rendering (also used in computing, up to double buffering only though as triple buffering is pointless when headless).
Without them, if you want to do some number crunching on your GPU and have your data on the host (“CPU”) memory, then you’d basically transfer a chunk of that data from the host to a buffer on the device (GPU) memory and then run your GPU algorithm on it. There’s one big issue here: during the memory transfer, your GPU is idle because you’re waiting for the copy to finish, so you’re wasting precious GPU compute.
So GPU programmers came up with a trick to try to reduce or even hide that latency: double buffering. As the name suggests, the idea is to have not just one but two buffers of the same size allocated on your GPU. Let’s call them buffer_0 and buffer_1. The idea is that if your algorithm is iterative, and you have a bunch of chunks on your host memory on which you want to apply that same GPU code, then you could for example at the first iteration take a chunk from host memory and send it to buffer_0, then run your GPU code asynchronously on that buffer. While it’s running, your CPU has the control back and it can do something else. Here you prepare immediately for the next iteration, you pick another chunk and send it asynchronously to buffer_1. When the previous asynchronous kernel run is finished, you rerun the same kernel but this time on buffer_1, again asynchronously. Then you copy, asynchronously again, another chunk from the host to buffer_0 this time and you keep swapping the buffers like this for the rest of your loop.
Now some GPU programmers don’t want to just compute stuff, they also might want to render stuff on the screen. So what happens when they try to copy from one of those buffers to the screen? It depends, if they copy in a synchronous way, we get the initial latency problem back. If they copy asynchronously, the host->GPU copy and/or the GPU kernel will keep overwriting buffers before they finish rendering on the screen, which will cause tearing.
So those programmers pushed the double buffering idea a bit further: just add an additional buffer to hide the latency from sending stuff to the screen, and that gives us triple buffering. You can guess how this one will work because it’s exactly the same principle.
If the system can’t keep up with the animation of e.g. Gnome’s overview, the fps halfes because of double buffered vsync for a moment. This is perceived as stutter.
With triple buffer vsync the fps only drop a little (e .g 60 fps -> 55 fps), which isn’t as big of drop of fps, so the stutter isn’t as big (if it’s even noticeable).
Lol, why own up to adding animations the system can’t handle when you can blame app and web devs? Gnome users always know where the blame should be laid, and it’s never Gnome.
Double and triple buffering are techniques in GPU rendering (also used in computing, up to double buffering only though as triple buffering is pointless when headless).
Without them, if you want to do some number crunching on your GPU and have your data on the host (“CPU”) memory, then you’d basically transfer a chunk of that data from the host to a buffer on the device (GPU) memory and then run your GPU algorithm on it. There’s one big issue here: during the memory transfer, your GPU is idle because you’re waiting for the copy to finish, so you’re wasting precious GPU compute.
So GPU programmers came up with a trick to try to reduce or even hide that latency: double buffering. As the name suggests, the idea is to have not just one but two buffers of the same size allocated on your GPU. Let’s call them
buffer_0andbuffer_1. The idea is that if your algorithm is iterative, and you have a bunch of chunks on your host memory on which you want to apply that same GPU code, then you could for example at the first iteration take a chunk from host memory and send it tobuffer_0, then run your GPU code asynchronously on that buffer. While it’s running, your CPU has the control back and it can do something else. Here you prepare immediately for the next iteration, you pick another chunk and send it asynchronously tobuffer_1. When the previous asynchronous kernel run is finished, you rerun the same kernel but this time onbuffer_1, again asynchronously. Then you copy, asynchronously again, another chunk from the host tobuffer_0this time and you keep swapping the buffers like this for the rest of your loop.Now some GPU programmers don’t want to just compute stuff, they also might want to render stuff on the screen. So what happens when they try to copy from one of those buffers to the screen? It depends, if they copy in a synchronous way, we get the initial latency problem back. If they copy asynchronously, the host->GPU copy and/or the GPU kernel will keep overwriting buffers before they finish rendering on the screen, which will cause tearing.
So those programmers pushed the double buffering idea a bit further: just add an additional buffer to hide the latency from sending stuff to the screen, and that gives us triple buffering. You can guess how this one will work because it’s exactly the same principle.
I love this explanation, I thought I’d never understand
And why does a desktop environment need to do that?
If the system can’t keep up with the animation of e.g. Gnome’s overview, the fps halfes because of double buffered vsync for a moment. This is perceived as stutter.
With triple buffer vsync the fps only drop a little (e .g 60 fps -> 55 fps), which isn’t as big of drop of fps, so the stutter isn’t as big (if it’s even noticeable).
Maybe the animation a bit simpler…?
Less animation is usually better UX in something often used, if it’s not to hide slowness of someting else.
To reduce input lag and provide smoother visuals.
You say the animations are too much?
If by animations you mean smoothly moving the mouse and windows while badly optimized apps and websites are rendering, yes.
Lol, why own up to adding animations the system can’t handle when you can blame app and web devs? Gnome users always know where the blame should be laid, and it’s never Gnome.