[2306.09427] A new open source framework for multiscale modeling of fibrous materials on heterogeneous supercomputers Skip to main content Search Submit Donate Log in Search arXiv Press Enter to search · Advanced search Computer Science > Distributed, Parallel, and Cluster Computing arXiv:2306.09427 (cs) [Submitted on 15 Jun 2023 ( v1 ), last revised 21 Mar 2024 (this version, v2)] Title: A new open source framework for multiscale modeling of fibrous materials on heterogeneous supercomputers Authors: Jacob Merson , Catalin Picu , Mark S. Shephard View a PDF of the paper titled A new open source framework for multiscale modeling of fibrous materials on heterogeneous supercomputers, by Jacob Merson and 2 other authors View PDF HTML (experimental) 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 microscales 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. Subjects: Distributed, Parallel, and Cluster Computing (cs.DC) ; Mathematical Software (cs.MS) Cite as: arXiv:2306.09427 [cs.DC] (or arXiv:2306.09427v2 [cs.DC] for this version) https://doi.org/10.48550/arXiv.2306.09427 Focus to learn more arXiv-issued DOI via DataCite Related DOI : https://doi.org/10.1007/s00366-023-01934-4 Focus to learn more DOI(s) linking to related resources Submission history From: Jacob Merson [ view email ] [v1] Thu, 15 Jun 2023 18:21:02 UTC (5,362 KB) [v2] Thu, 21 Mar 2024 05:47:40 UTC (5,366 KB) Full-text links: Access Paper: View a PDF of the paper titled A new open source framework for multiscale modeling of fibrous materials on heterogeneous supercomputers, by Jacob Merson and 2 other authors View PDF HTML (experimental) TeX Source view license Current browse context: cs.DC < prev | next > new | recent | 2023-06 Change to browse by: cs cs.MS References & Citations NASA ADS Google Scholar Semantic Scholar export BibTeX citation Loading... BibTeX formatted citation × loading... Data provided by: Bookmark Bibliographic Tools Bibliographic and Citation Tools Bibliographic Explorer Toggle Bibliographic Explorer ( What is the Explorer? ) Connected Papers Toggle Connected Papers ( What is Connected Papers? ) Litmaps Toggle Litmaps ( What is Litmaps? ) scite.ai Toggle scite Smart Citations ( What are Smart Citations? ) Code, Data, Media Code, Data and Media Associated with this Article alphaXiv Toggle alphaXiv ( What is alphaXiv? ) Links to Code Toggle CatalyzeX Code Finder for Papers ( What is CatalyzeX? ) DagsHub Toggle DagsHub ( What is DagsHub? ) GotitPub Toggle Gotit.pub ( What is GotitPub? ) Huggingface Toggle Hugging Face ( What is Huggingface? ) ScienceCast Toggle ScienceCast ( What is ScienceCast? ) Demos Demos Replicate Toggle Replicate ( What is Replicate? ) Spaces Toggle Hugging Face Spaces ( What is Spaces? ) Spaces Toggle TXYZ.AI ( What is TXYZ.AI? ) Related Papers Recommenders and Search Tools Link to Influence Flower Influence Flower ( What are Influence Flowers? ) Core recommender toggle CORE Recommender ( What is CORE? ) Author Venue Institution Topic About arXivLabs arXivLabs: experimental projects with community collaborators arXivLabs is a framework that allows collaborators to develop and share new arXiv features directly on our website. Both individuals and organizations that work with arXivLabs have embraced and accepted our values of openness, community, excellence, and user data privacy. arXiv is committed to these values and only works with partners that adhere to them. Have an idea for a project that will add value for arXiv's community? Learn more about arXivLabs . Which authors of this paper are endorsers? | Disable MathJax ( What is MathJax? ) We gratefully acknowledge support from our major funders , member institutions , , and all contributors. About · Help · Contact · Subscribe · Copyright · Privacy · Accessibility · Operational Status (opens in new tab) Major funding support from