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A new open-source framework for multiscale modeling of fibrous materials on heterogeneous supercomputers

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Abstract

This article presents MuMFiM, an open-source application for multiscale modeling of fibrous materials on massively parallel computers. MuMFiM uses two scales to represent fibrous materials such as biological network materials (extracellular matrix, connective tissue, etc.). It is designed to make use of multiple levels of parallelism, including distributed parallelism of the macro- and micro-scales as well as GPU-accelerated data-parallelism of the microscale. Scaling results of the GPU accelerated microscale show that solving microscale problems concurrently on the GPU can lead to a 1000x speedup over the solution of a single RVE on the GPU. In addition, we show nearly optimal strong and weak scaling results of MuMFiM on up to 128 nodes of AiMOS (Rensselaer Polytechnic Institute) which is composed of IBM AC922 nodes with 6 Volta V100 GPU and 2 20 core Power 9 CPUs each. We also show how MuMFiM can be used to solve problems of interest to the broader engineering community, in particular providing an example of the facet capsule ligament (FCL) of the human spine undergoing uniaxial extension.

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Data availability

The source code that supports the findings of this study are openly available in a git repository that can be found at https://github.com/scorec/mumfim. Authors can provide detailed support for building and running MuMFiM upon request.

Notes

  1. MuMFiM can be found at https://github.com/SCOREC/mumfim.

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Acknowledgements

This work was supported in part by the National Institutes of Health (NIH) through Grant No. U01 AT010326-06. This material is based in part upon work supported by the National Science Foundation Graduate Research Fellowship under Grant No. DGE-1744655. Computational resources were provided by the Rensselaer Polytechnic Institute Center for Computational Innovations that is partly supported by a National Science Foundation through MRI Grant Number 1828083.

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  1. Department of Mechanical Aerospace and Nuclear Engineering, Rensselaer Polytechnic Institute, 110 8th St., Troy, NY, 12180, USA

    Jacob S. Merson, Catalin R. Picu & Mark S. Shephard

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Merson, J.S., Picu, C.R. & Shephard, M.S. A new open-source framework for multiscale modeling of fibrous materials on heterogeneous supercomputers. Engineering with Computers (2024). https://doi.org/10.1007/s00366-023-01934-4

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