# Beautiful Gooey Simulations, Now 10 Times Faster

## Метаданные

- **Канал:** Two Minute Papers
- **YouTube:** https://www.youtube.com/watch?v=-jL2o_15s1E
- **Дата:** 02.04.2019
- **Длительность:** 3:07
- **Просмотры:** 68,413
- **Источник:** https://ekstraktznaniy.ru/video/14333

## Описание

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📝 The paper "GPU Optimization of Material Point Methods" is available here:
http://www.cemyuksel.com/research/papers/gpu_mpm.pdf

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## Транскрипт

### Segment 1 (00:00 - 03:00) []

Dear Fellow Scholars, this is Two Minute Papers with Károly Zsolnai-Fehér. You know that I see a piece of fluid and I can’t resist making videos about it…I just can’t. Oh my goodness. Look at that. These animations were created using the Material Point Method, or MPM in short, which is a hybrid simulation method which is able to simulate not only substances like water and honey, but it can also simulate snow, granular solids, cloth, and many-many other amazing things that you see here. Before you ask, the hybrid part means that it both uses particles and grids during the computations. Unfortunately, it is very computationally demanding, so it takes forever to get these simulations ready. And typically, in my simulations, after this step is done, I almost always find that the objects did not line up perfectly, so I can start the whole process again. Ah well. This technique has multiple stages, uses multiple data structures in many of them, and often we have to wait for the results of one stage to be able to proceed to the next. This is not that much of a problem if we seek to implement this on our processor, but it would be way, way faster if we could run it on the graphics card…as long as we implement these problems on them properly. However, due to these stages waiting for each other, it is immensely difficult to use the heavy parallel computing capabilities of the graphics card. So here you go, this technique enables running MPM on your graphics card efficiently, resulting in an up to ten-time improvement over previous works. As a result, this granulation scene has more than 6. 5 million particles on a very fine grid and can be simulated in only around 40 seconds per frame. And not only that, but the numerical stability of this technique is also superior to previous works, and it is thereby able to correctly simulate how the individual grains interact in this block of sand. Here is a more detailed breakdown of the number of particles, grid resolutions, and the amount of computation time needed to simulate each time step. I am currently in the middle of a monstrous fluid simulation project and oh man, I wish I had these numbers for the computation time. This gelatin scene takes less than 7 seconds per frame to simulate with a similar number of particles. Look at that heavenly gooey thing. It probably tastes like strawberries. And if you enjoyed this video and you wish to help us teach more people about these amazing papers, please consider supporting us on Patreon. In return, we can offer you early access to these episodes, or you can also get your name in the video description of every episode as a key supporter. You can find us at Patreon. com/TwoMinutePapers. Thanks for watching and for your generous support, and I'll see you next time!