%0 Conference Paper %1 10.1007/978-3-031-17937-2_11 %A Maier, Benjamin %A Schneider, David %A Schulte, Miriam %A Uekermann, Benjamin %B High Performance Computing in Science and Engineering '21 %C Cham %D 2023 %E Nagel, Wolfgang E. %E Kröner, Dietmar H. %E Resch, Michael M. %I Springer International Publishing %K EXC2075 PNX myown updated %P 185--199 %T Bridging scales with volume coupling --- Scalable simulations of muscle contraction and electromyography %X Measuring the electric signals of a contracting muscle, called electromyography (EMG), is a valuable experimental tool for biomechanics researchers. Detailed simulations of this process can deliver insights on a new level. However, the solution of appropriate biophysically based multi-scale models exhibits high computational loads, which demands for High Performance Computing. At the same time, separate parallelization strategies are required for different spatial scales. Currently, no opensource software is capable of efficiently exploiting supercomputers and handling the complexity of relevant state-of-the-art multi-scale muscle models. We employ a volume coupling scheme to augment the open-source software OpenDiHu and enable coupled simulations of muscle contraction and EMG.We investigate the weak scaling behavior of different components of the multi-scale solver and find that the new approach does not hinder scalability. As a result, we are able to simulate a respective highly resolved scenario with 100 million degrees of freedom on the supercomputer Hawk at the High Performance Computing Center Stuttgart. %@ 978-3-031-17937-2

@inproceedings{10.1007/978-3-031-17937-2_11, abstract = {Measuring the electric signals of a contracting muscle, called electromyography (EMG), is a valuable experimental tool for biomechanics researchers. Detailed simulations of this process can deliver insights on a new level. However, the solution of appropriate biophysically based multi-scale models exhibits high computational loads, which demands for High Performance Computing. At the same time, separate parallelization strategies are required for different spatial scales. Currently, no opensource software is capable of efficiently exploiting supercomputers and handling the complexity of relevant state-of-the-art multi-scale muscle models. We employ a volume coupling scheme to augment the open-source software OpenDiHu and enable coupled simulations of muscle contraction and EMG.We investigate the weak scaling behavior of different components of the multi-scale solver and find that the new approach does not hinder scalability. As a result, we are able to simulate a respective highly resolved scenario with 100 million degrees of freedom on the supercomputer Hawk at the High Performance Computing Center Stuttgart.}, added-at = {2023-11-15T18:35:31.000+0100}, address = {Cham}, author = {Maier, Benjamin and Schneider, David and Schulte, Miriam and Uekermann, Benjamin}, biburl = {https://puma.ub.uni-stuttgart.de/bibtex/23cd1260a1cdd19a20420114c0bec4e6c/miriammehl}, booktitle = {High Performance Computing in Science and Engineering '21}, editor = {Nagel, Wolfgang E. and Kr{\"o}ner, Dietmar H. and Resch, Michael M.}, interhash = {8301acb0a76fb631fa075737b1ea2986}, intrahash = {3cd1260a1cdd19a20420114c0bec4e6c}, isbn = {978-3-031-17937-2}, keywords = {EXC2075 PNX myown updated}, pages = {185--199}, publisher = {Springer International Publishing}, timestamp = {2023-11-15T18:35:31.000+0100}, title = {Bridging scales with volume coupling --- Scalable simulations of muscle contraction and electromyography}, year = 2023 }