{"id":24976661,"url":"https://github.com/thiagofons/mpi-gaussian-elimination","last_synced_at":"2025-08-17T07:03:38.264Z","repository":{"id":263471659,"uuid":"890504550","full_name":"thiagofons/mpi-gaussian-elimination","owner":"thiagofons","description":"Linear system solver using multi-processor parallelism in MPI","archived":false,"fork":false,"pushed_at":"2024-11-24T16:08:15.000Z","size":758,"stargazers_count":0,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"main","last_synced_at":"2025-03-29T08:25:18.920Z","etag":null,"topics":["gaussian-elimination","linear-algebra","linear-system-solver","mpi","parallel-computing"],"latest_commit_sha":null,"homepage":"","language":"C","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":null,"status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/thiagofons.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":null,"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,"publiccode":null,"codemeta":null}},"created_at":"2024-11-18T17:22:40.000Z","updated_at":"2025-03-07T16:08:08.000Z","dependencies_parsed_at":"2024-11-18T18:54:18.665Z","dependency_job_id":"30ab2789-b941-4ee2-8b97-5cdc23a4af18","html_url":"https://github.com/thiagofons/mpi-gaussian-elimination","commit_stats":null,"previous_names":["thiagofons/mpi-gaussian-elimination"],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/thiagofons/mpi-gaussian-elimination","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/thiagofons%2Fmpi-gaussian-elimination","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/thiagofons%2Fmpi-gaussian-elimination/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/thiagofons%2Fmpi-gaussian-elimination/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/thiagofons%2Fmpi-gaussian-elimination/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/thiagofons","download_url":"https://codeload.github.com/thiagofons/mpi-gaussian-elimination/tar.gz/refs/heads/main","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/thiagofons%2Fmpi-gaussian-elimination/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":270816306,"owners_count":24650774,"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","status":"online","status_checked_at":"2025-08-17T02:00:09.016Z","response_time":129,"last_error":null,"robots_txt_status":"success","robots_txt_updated_at":"2025-07-24T06:49:26.215Z","robots_txt_url":"https://github.com/robots.txt","online":true,"can_crawl_api":true,"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":["gaussian-elimination","linear-algebra","linear-system-solver","mpi","parallel-computing"],"created_at":"2025-02-03T22:02:06.554Z","updated_at":"2025-08-17T07:03:38.232Z","avatar_url":"https://github.com/thiagofons.png","language":"C","funding_links":[],"categories":[],"sub_categories":[],"readme":"## Instruções:\n\n- Instruções para o gerador de Matrizes\n\n    - Para rodar a aplicação, primeiro é necessário compilar o arquivo **matrix_generator.c**:\n\n    ``` gcc ./matrix_generator.c -o mg ```\n\n    - Após compilar, é possível executar o gerador de matrizes com o seguinte comando:\n\n    ``` ./mg [tamanho-da-matriz-n-x-n] ```\n\n    - O programa irá gerar um arquivo chamado \"matrix.txt\", contendo a matriz N x N no formado que pode ser lido pelos resolvedores de sistemas lineares.\n\n- Instruções para o resolvedor por eliminação Gaussiana feito por IA\n\n    - Para rodar a aplicação de eliminação gaussiana, é necessário compilar o arquivo **main_gpt.c**:\n\n    ``` mpicc ./main_gpt.c -o mpi_gaussian_gpt ```\n\n    - Após compilar, é possível executar a aplicação a partir do seguinte comando:\n\n    ``` mpirun -np [numero-de-processos] ./mpi_gaussian_gpt [tamanho-da-matriz-n-x-n] ```\n\n- Instruções para o resolvedor por eliminação Gaussiana feito pelo grupo\n\n    - Para rodar a aplicação de eliminação gaussiana, é necessário compilar o arquivo **main_human.c**:\n\n    ``` mpicc ./main_human.c -o mpi_gaussian_human ```\n\n    - Após compilar, é possível executar a aplicação a partir do seguinte comando:\n\n    ``` mpirun -np [numero-de-processos] ./mpi_gaussian_human [tamanho-da-matriz-n-x-n] ```\n\n## Exemplo de uso:\n\n```\ngcc ./matrix_generator.c -o mg\n./mg 4\n\nmpicc ./main_gpt.c -o mpi_gaussian_gpt\nmpirun -np 2 ./mpi_gaussian_gpt 4\n\nmpicc ./main_human.c -o mpi_gaussian_human\nmpirun -np 2 ./mpi_gaussian_human 4\n```\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fthiagofons%2Fmpi-gaussian-elimination","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fthiagofons%2Fmpi-gaussian-elimination","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fthiagofons%2Fmpi-gaussian-elimination/lists"}