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- W2604214055 abstract "Clothing simulation is a very important part of modern graphics applications. Since cloth is an intrinsic part of life, realistic simulation is important to convey realism both in games as well as in movies. Games have a real time constraint and most implementations are based on explicit or semi-implicit methods. These methods offer faster simulation but also have a lot of artifacts. On the other hand, the visual effects industry and 3D animation studios are more concerned with quality than speed since scenes are usually rendered offline. The highest quality simulation is achieved through the use of implicit methods. The motivation for our research comes from the recent advancements in parallelized computation. In the last 10 years, the processing power of the average computer has increased to a point where even smartphones have multiple processing cores. GPUs have also progressed fast and now have anywhere between 16 to 1024 independent processing cores. This makes them ideal for massively parallel computations. This has made parallel computing platforms such as NVidia Cuda© and OpenCL extremely popular. Both these platforms are based on the notion of general purpose GPU computing where computations are offloaded to the GPU to take advantage of their processing power." @default.
- W2604214055 created "2017-04-14" @default.
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- W2604214055 date "2011-01-01" @default.
- W2604214055 modified "2023-09-23" @default.
- W2604214055 title "Towards Faster Cloth Simulation: Examining the Preconditioned Conjugate Gradient" @default.
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