{"work":{"id":"572bea67-2923-4824-b4da-11a6053f243d","openalex_id":null,"doi":null,"arxiv_id":"1201.4330","raw_key":null,"title":"Reduze 2 - Distributed Feynman Integral Reduction","authors":null,"authors_text":"Andreas von Manteuffel and Cedric Studerus","year":2012,"venue":"hep-ph","abstract":"Reduze is a computer program for reducing Feynman integrals to master integrals employing a variant of Laporta's reduction algorithm. This article describes version 2 of the program. New features include the distributed reduction of single topologies on multiple processor cores. The parallel reduction of different topologies is supported via a modular, load balancing job system. Fast graph and matroid based algorithms allow for the identification of equivalent topologies and integrals.","external_url":"https://arxiv.org/abs/1201.4330","cited_by_count":null,"metadata_source":"pith","metadata_fetched_at":"2026-07-10T06:56:52.376172+00:00","pith_arxiv_id":"1201.4330","created_at":"2026-05-10T22:50:50.964945+00:00","updated_at":"2026-07-10T06:56:52.376172+00:00","title_quality_ok":true,"display_title":"Reduze 2 - Distributed Feynman Integral Reduction","render_title":"Reduze 2 - Distributed Feynman Integral Reduction"},"hub":{"state":{"work_id":"572bea67-2923-4824-b4da-11a6053f243d","tier":"hub","tier_reason":"10+ Pith inbound or 1,000+ external citations","pith_inbound_count":22,"external_cited_by_count":null,"distinct_field_count":3,"first_pith_cited_at":"2019-06-27T18:24:17+00:00","last_pith_cited_at":"2026-07-09T13:33:47+00:00","author_build_status":"not_needed","summary_status":"needed","contexts_status":"needed","graph_status":"needed","ask_index_status":"not_needed","reader_status":"not_needed","recognition_status":"not_needed","updated_at":"2026-08-22T19:49:39.294213+00:00","tier_text":"hub"},"tier":"hub","role_counts":[{"context_role":"background","n":5},{"context_role":"method","n":3},{"context_role":"baseline","n":1},{"context_role":"other","n":1}],"polarity_counts":[{"context_polarity":"background","n":5},{"context_polarity":"use_method","n":3},{"context_polarity":"baseline","n":1},{"context_polarity":"unclear","n":1}],"runs":{},"summary":{},"graph":{},"authors":[]}}