{"id":16498907,"url":"https://github.com/simonschoelly/poisson-solver","last_synced_at":"2026-05-18T15:31:05.501Z","repository":{"id":178115067,"uuid":"123135951","full_name":"simonschoelly/Poisson-Solver","owner":"simonschoelly","description":"A solver for a modified poisson equation using cuda.","archived":false,"fork":false,"pushed_at":"2018-06-30T15:58:41.000Z","size":209,"stargazers_count":0,"open_issues_count":0,"forks_count":2,"subscribers_count":1,"default_branch":"master","last_synced_at":"2025-08-02T14:39:12.160Z","etag":null,"topics":["cpp","cuda","finite-difference","gpgpu","pgc","poisson-equation","preconditioned-conjugate-gradient","thomas-algorithm"],"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/simonschoelly.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":"2018-02-27T13:51:45.000Z","updated_at":"2021-10-21T22:39:56.000Z","dependencies_parsed_at":null,"dependency_job_id":"2e62fdb5-e86d-40a1-82f9-88f049c20b1d","html_url":"https://github.com/simonschoelly/Poisson-Solver","commit_stats":null,"previous_names":["simonschoelly/poisson-solver"],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/simonschoelly/Poisson-Solver","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/simonschoelly%2FPoisson-Solver","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/simonschoelly%2FPoisson-Solver/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/simonschoelly%2FPoisson-Solver/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/simonschoelly%2FPoisson-Solver/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/simonschoelly","download_url":"https://codeload.github.com/simonschoelly/Poisson-Solver/tar.gz/refs/heads/master","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/simonschoelly%2FPoisson-Solver/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":286080680,"owners_count":33182679,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2026-05-18T09:27:30.708Z","status":"ssl_error","status_checked_at":"2026-05-18T09:27:28.300Z","response_time":71,"last_error":"SSL_connect returned=1 errno=0 peeraddr=140.82.121.5:443 state=error: unexpected eof while reading","robots_txt_status":"success","robots_txt_updated_at":"2025-07-24T06:49:26.215Z","robots_txt_url":"https://github.com/robots.txt","online":false,"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":["cpp","cuda","finite-difference","gpgpu","pgc","poisson-equation","preconditioned-conjugate-gradient","thomas-algorithm"],"created_at":"2024-10-11T14:50:29.483Z","updated_at":"2026-05-18T15:31:05.465Z","avatar_url":"https://github.com/simonschoelly.png","language":"C++","funding_links":[],"categories":[],"sub_categories":[],"readme":"# Poisson-Solver\n\nThis repository contains a solver for the the modified Poisson-equation\n\n-Δu(x) + αu(x) = f(x),  x∈Ω, ∂Ω\t= 0, α\t\u003e0\n\nwhere the domain Ω\tis either square or cubic.\t\n\n\nThe solver discretizes this equation using central finite differences to get a  linear system and then\nruns the preconditioned conjugate gradient method to solve this system. \nFor the preconditioner we use a tridiagonal matrix that we can efficiently invert using Cuda on a Nvidia graphic card.\n\nI developed this code for my Bachelor thesis but did not look at it since then. It still seems to compile though. Maybe someone has a use for it.\n\n## Directory structure\n    ├── README.md\n    ├── cublas_wrapper.h          # wrapper functions around some cublas functions\n    ├── makefile\n    ├── misc.h                    # some small helper functions\n    ├── preconditioner.h          # Cuda kernels that solve solve the linear system for the preconditioner\n    ├── solver.h                  # functions that apply the preconditioned conjugate gradient to solve the problem\n    └── test.cu                   # demonstrates how to use the given code and runs tests for the different implementations.\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fsimonschoelly%2Fpoisson-solver","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fsimonschoelly%2Fpoisson-solver","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fsimonschoelly%2Fpoisson-solver/lists"}