{"id":19300199,"url":"https://github.com/mithaystack/variantdbscan","last_synced_at":"2025-07-30T11:07:43.180Z","repository":{"id":62587155,"uuid":"89273953","full_name":"MITHaystack/VariantDBSCAN","owner":"MITHaystack","description":"Variant Density-Based Spatial Clustering of Applications with Noise (VariantDBSCAN)","archived":false,"fork":false,"pushed_at":"2017-11-27T22:30:08.000Z","size":6268,"stargazers_count":1,"open_issues_count":0,"forks_count":1,"subscribers_count":7,"default_branch":"master","last_synced_at":"2025-01-05T22:42:20.356Z","etag":null,"topics":[],"latest_commit_sha":null,"homepage":"","language":"Cuda","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/MITHaystack.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}},"created_at":"2017-04-24T18:30:59.000Z","updated_at":"2021-07-16T09:40:34.000Z","dependencies_parsed_at":"2022-11-04T07:25:37.391Z","dependency_job_id":null,"html_url":"https://github.com/MITHaystack/VariantDBSCAN","commit_stats":null,"previous_names":[],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/MITHaystack%2FVariantDBSCAN","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/MITHaystack%2FVariantDBSCAN/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/MITHaystack%2FVariantDBSCAN/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/MITHaystack%2FVariantDBSCAN/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/MITHaystack","download_url":"https://codeload.github.com/MITHaystack/VariantDBSCAN/tar.gz/refs/heads/master","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":240401624,"owners_count":19795584,"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":[],"created_at":"2024-11-09T23:14:07.908Z","updated_at":"2025-02-24T01:24:45.316Z","avatar_url":"https://github.com/MITHaystack.png","language":"Cuda","funding_links":[],"categories":[],"sub_categories":[],"readme":"# VariantDBSCAN\n\n## Maximizing Clustering Throughput\n\nProject lead: Mike Gowanlock\n\nRelevant papers: \n* [1] Gowanlock, M., Blair, D. M. \u0026 Pankratius, V. (2016) Exploiting Variant-Based Parallelism for Data Mining of Space Weather Phenomena. In Proc. of the 30th IEEE International Parallel \u0026 Distributed Processing Symposium (IPDPS 2016). pp. 760-769 DOI: 10.1109/IPDPS.2016.10 \n[[http://dx.doi.org/10.1109/IPDPS.2016.10 ]](http://dx.doi.org/10.1109/IPDPS.2016.10 )\n\n\n* [2] Gowanlock, M., Blair, D. M., Pankratius, V. Optimizing Parallel Clustering Throughput in Shared Memory. IEEE Transactions on Parallel and Distributed Systems DOI: 10.1109/TPDS.2017.2675421 \n[[http://dx.doi.org/10.1109/TPDS.2017.2675421]](http://dx.doi.org/10.1109/TPDS.2017.2675421)\n\n![alt text](https://github.com/MITHaystack/VariantDBSCAN/blob/master/img/VDBSCAN.png)\n\nFigure: Relative performance gains utilizing all of the optimizations over the sequential implementation on a space weather TEC dataset in [1, 2]. Values over the black line indicate a performance improvement. The red line indicates the performance gain from index optimizations only. See the papers above.    \n\n\nWe acknowledge support from NSF ACI-1442997 and NASA AIST14-NNX15AG84G.\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fmithaystack%2Fvariantdbscan","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fmithaystack%2Fvariantdbscan","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fmithaystack%2Fvariantdbscan/lists"}