CEIG18

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https://diglib.eg.org/handle/10.2312/2632545

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Browsing CEIG18 by Subject "Applied computing"

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    Muscle Simulation with Extended Position Based Dynamics
    (The Eurographics Association, 2018) Romeo, Marco; Monteagudo, Carlos; Sánchez-Quirós, Daniel; García-Fernández, Ignacio and Ureña, Carlos
    Recent research on muscle simulation for Visual Effects relies on numerical methods such as the Finite Element Method or Finite Volume Method. These approaches produce realistic results, but require high computational time and are complex to set up. On the other hand Position Based Dynamics offers a fast and controllable solution to simulate surfaces and volumes, but there is no literature on how to implement constraints that could be used to realistically simulate muscles for digital creatures with this method. In this paper we extend the current state-of-the-art in Position Based Dynamics to efficiently compute realistic skeletal-muscle simulation. In particular we embed muscle fibers in the solver by adding an anisotropic component to the distance constraints between mesh points and apply overpressure to realistically model muscle volume changes under contraction. We also present a technique that consistently provides an internal structure for our muscle volumes. We use this structure to preserve the shape and extract relevant information for the activation of the muscle fibers. Finally, we propose a modification of the Extended Position Based Dynamics algorithm and describe other details for proper simulation of character’'s muscle dynamics.
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    A Prototype of a Scalable Multi-GPU Molecular Dynamics Simulator for Large Molecular Systems
    (The Eurographics Association, 2018) Nicolas-Barreales, Gonzalo; Novalbos, Marcos; Otaduy, Miguel Ángel; Sánchez, Alberto; García-Fernández, Ignacio and Ureña, Carlos
    Parallel architectures, in the form of multi-core or multiple computers, have produced a major impact in the field of information technology. GPU devices, as an extreme example of parallel architectures, have been adapted to enable generic computation in massively parallel architectures. Molecular dynamics is a problem that fits perfectly such architectures, as it relies on the computation of many similar interactions between atoms. Moreover, large molecular systems require resources that exceed those available in a single computer, even multi-GPU computers. Therefore, the ideal architecture to simulate molecular dynamics is a distributed multi-GPU cluster, which consists of multiple interconnected computers with one or more GPUs each. A molecular dynamics simulation usually needs days, and even weeks of computation time to produce results that represent only a few microseconds of atom interactions. In contrast, distributed multi-GPU clusters allows us to develop an efficient and scalable simulator. This paper aims to develop a prototype of a molecular dynamics simulator for large molecular systems. It uses the GPU as the main computing device, using only the CPU to control the workflow. We have implemented parallel processing techniques to develop a fully scalable system.