{"id":19706229,"url":"https://github.com/llnl/scaleuprom","last_synced_at":"2025-04-29T16:33:11.578Z","repository":{"id":210827782,"uuid":"727535540","full_name":"LLNL/scaleupROM","owner":"LLNL","description":"Scalable Reduced Order Model with Discontinuous Galerkin Domain Decomposition","archived":false,"fork":false,"pushed_at":"2025-04-07T13:50:33.000Z","size":8559,"stargazers_count":11,"open_issues_count":7,"forks_count":5,"subscribers_count":5,"default_branch":"main","last_synced_at":"2025-04-12T05:03:43.659Z","etag":null,"topics":["math-physics"],"latest_commit_sha":null,"homepage":"","language":"C++","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"mit","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/LLNL.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":"LICENSE","code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null,"governance":null,"roadmap":null,"authors":null,"dei":null}},"created_at":"2023-12-05T03:55:18.000Z","updated_at":"2025-03-19T03:40:54.000Z","dependencies_parsed_at":"2023-12-24T03:21:24.333Z","dependency_job_id":"4f160bbe-3f9d-4632-aabf-1e2c1a94be3a","html_url":"https://github.com/LLNL/scaleupROM","commit_stats":null,"previous_names":["llnl/scaleuprom"],"tags_count":1,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/LLNL%2FscaleupROM","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/LLNL%2FscaleupROM/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/LLNL%2FscaleupROM/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/LLNL%2FscaleupROM/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/LLNL","download_url":"https://codeload.github.com/LLNL/scaleupROM/tar.gz/refs/heads/main","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":251540487,"owners_count":21605910,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2022-07-04T15:15:14.044Z","host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"keywords":["math-physics"],"created_at":"2024-11-11T21:34:41.874Z","updated_at":"2025-04-29T16:33:06.550Z","avatar_url":"https://github.com/LLNL.png","language":"C++","funding_links":[],"categories":[],"sub_categories":[],"readme":"\u003c!-- ![libROM Logo](https://www.librom.net/img/logo-300.png) --\u003e\n\n# Introduction\n\nscaleupROM is a projection-based reduced order model (ROM) with discontinuous Galerkin domain decomposition (DG-DD).\nIt aims to construct a robust, efficient, large-scale ROM that is trained only from small scale component samples,\nfor various physics partial differential equations.\nscaleupROM is mainly built upon [MFEM](https://mfem.org/) and [libROM](https://www.librom.net).\n\n## Features\n\n- Discontinuous Galerkin domain decomposition\n- Projection-based reduced order model\n- EQP for nonlinear partial differential equations\n- Supporting physics equations:\n  - Poisson equation\n  - Stokes flow\n  - Steady Navier-Stokes flow\n  - Linear elasticity\n\n## Features to be added\n\n- Nonlinear elasticity\n- Time-dependent Navier-Stokes flow\n\n# Installation\n\n## Prerequisites\n\n- BLAS\n- LAPACK\n- HDF5\n- [yaml-cpp](https://github.com/jbeder/yaml-cpp)\n- [Gmsh](https://gmsh.info/)\n- [googletest](https://github.com/google/googletest)\n- [MFEM](https://mfem.org/)\n  - [hypre](https://github.com/hypre-space/hypre)\n  - [METIS](https://github.com/mfem/tpls)\n  - [MUMPS](https://github.com/scivision/mumps)\n- [libROM](https://librom.net/)\n\n## Instruction\n\nSee the [wiki page](https://github.com/LLNL/scaleupROM/wiki/Installation) for the detailed instruction.\n\nFor LC dane, the installation script is provided. You can simply run:\n\n```\n./script/install_dane.bash\n```\n\n# Using Docker container\n\nDocker container [`scaleuprom_env`](https://ghcr.io/llnl/scaleuprom/scaleuprom_env) provides a containerized environment with all the prerequisites for scaleupROM:\n- intel chips: [https://ghcr.io/llnl/scaleuprom/scaleuprom_env:latest](https://ghcr.io/llnl/scaleuprom/scaleuprom_env:latest)\n- apple chips: [https://ghcr.io/llnl/scaleuprom/scaleuprom_env:arm64](https://ghcr.io/llnl/scaleuprom/scaleuprom_env:arm64)\n\n# License\n\nscaleupROM is distributed under the MIT license. For more details, see the [LICENSE](https://github.com/LLNL/scaleupROM/blob/master/LICENSE) File.\n\nSPDX-License-Identifier: MIT\n\nLLNL-CODE-857975\n\n# Authors\n- \"Kevin\" Seung Whan Chung (LLNL)\n- Youngsoo Choi (LLNL)\n- Pratanu Roy (LLNL)\n- Thomas Moore (QUT)\n- Thomas Roy (LLNL)\n- Tiras Y. Lin (LLNL)\n- Sarah E. Baker (LLNL)\n- Axel Larsson (Princeton)\n- Cole Kendrick (LLNL)\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fllnl%2Fscaleuprom","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fllnl%2Fscaleuprom","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fllnl%2Fscaleuprom/lists"}