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.

本文介绍了 M u MF i M，这是一种在大规模并行计算机上对纤维材料进行多尺度建模的开源应用程序。 M u MF i M 使用两种尺度来表示生物网络材料（细胞外基质、结缔组织等）等纤维材料。它旨在利用多个级别的并行性，包括宏观和微观尺度的分布式并行性以及微观尺度的 GPU 加速数据并行性。 GPU 加速微尺度的扩展结果表明，在 GPU 上同时解决微尺度问题可以比 GPU 上单个 RVE 的解决方案加速 1000 倍。此外，我们在 AiMOS（伦斯勒理工学院）的多达 128 个节点上展示了 M u MF i M 近乎最佳的强弱扩展结果，该节点由 IBM AC922 节点组成，每个节点配备 6 个 Volta V100 GPU 和 2 个 20 核 Power 9 CPU 。我们还展示了如何使用 M u MF i M 来解决更广泛的工程界感兴趣的问题，特别是提供了人类脊柱小关节囊韧带 (FCL) 进行单轴延伸的示例。