{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2018:ZLH73VJZOWFWI62YK67UNKVIPY","short_pith_number":"pith:ZLH73VJZ","schema_version":"1.0","canonical_sha256":"cacffdd539758b647b5857bf46aaa87e0c5fae7819aa268077f7c83be1d0d628","source":{"kind":"arxiv","id":"1803.09876","version":1},"attestation_state":"computed","paper":{"title":"JSweep: A Patch-centric Data-driven Approach for Parallel Sweeps on Large-scale Meshes","license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.DC","authors_text":"Aiqing Zhang, Jie Yan, Zeyao Mo, Zhang Yang","submitted_at":"2018-03-27T03:24:57Z","abstract_excerpt":"In mesh-based numerical simulations, sweep is an important computation pattern. During sweeping a mesh, computations on cells are strictly ordered by data dependencies in given directions. Due to such a serial order, parallelizing sweep is challenging, especially for unstructured and deforming structured meshes. Meanwhile, recent high-fidelity multi-physics simulations of particle transport, including nuclear reactor and inertial confinement fusion, require {\\em sweeps} on large scale meshes with billions of cells and hundreds of directions.\n  In this paper, we present JSweep, a parallel data-"},"verification_status":{"content_addressed":true,"pith_receipt":true,"author_attested":false,"weak_author_claims":0,"strong_author_claims":0,"externally_anchored":false,"storage_verified":false,"citation_signatures":0,"replication_records":0,"graph_snapshot":true,"references_resolved":false,"formal_links_present":false},"canonical_record":{"source":{"id":"1803.09876","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.DC","submitted_at":"2018-03-27T03:24:57Z","cross_cats_sorted":[],"title_canon_sha256":"282c1ce4ce33ded774d0c8e33577e712f8b89f631d4a1c3fe6e7c9de6f7b7387","abstract_canon_sha256":"d6bdc72e3fa5d4b6dc0b9c08ed07282ddb2e50bd2d57c90270727c71f6462be1"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T00:20:07.986476Z","signature_b64":"0yEVPONZorCRK0G1pBargBDA334M5IpXAc0pZw3ZT4I8z+SOXhpT8ibvZJuks9Else/Y9fQ+aJG4uKQSFdYNCQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"cacffdd539758b647b5857bf46aaa87e0c5fae7819aa268077f7c83be1d0d628","last_reissued_at":"2026-05-18T00:20:07.985979Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T00:20:07.985979Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"JSweep: A Patch-centric Data-driven Approach for Parallel Sweeps on Large-scale Meshes","license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.DC","authors_text":"Aiqing Zhang, Jie Yan, Zeyao Mo, Zhang Yang","submitted_at":"2018-03-27T03:24:57Z","abstract_excerpt":"In mesh-based numerical simulations, sweep is an important computation pattern. During sweeping a mesh, computations on cells are strictly ordered by data dependencies in given directions. Due to such a serial order, parallelizing sweep is challenging, especially for unstructured and deforming structured meshes. Meanwhile, recent high-fidelity multi-physics simulations of particle transport, including nuclear reactor and inertial confinement fusion, require {\\em sweeps} on large scale meshes with billions of cells and hundreds of directions.\n  In this paper, we present JSweep, a parallel data-"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1803.09876","kind":"arxiv","version":1},"verdict":{"id":null,"model_set":{},"created_at":null,"strongest_claim":"","one_line_summary":"","pipeline_version":null,"weakest_assumption":"","pith_extraction_headline":""},"references":{"count":0,"sample":[],"resolved_work":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","internal_anchors":0},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"author_claims":{"count":0,"strong_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"builder_version":"pith-number-builder-2026-05-17-v1"},"aliases":[{"alias_kind":"arxiv","alias_value":"1803.09876","created_at":"2026-05-18T00:20:07.986061+00:00"},{"alias_kind":"arxiv_version","alias_value":"1803.09876v1","created_at":"2026-05-18T00:20:07.986061+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1803.09876","created_at":"2026-05-18T00:20:07.986061+00:00"},{"alias_kind":"pith_short_12","alias_value":"ZLH73VJZOWFW","created_at":"2026-05-18T12:33:07.085635+00:00"},{"alias_kind":"pith_short_16","alias_value":"ZLH73VJZOWFWI62Y","created_at":"2026-05-18T12:33:07.085635+00:00"},{"alias_kind":"pith_short_8","alias_value":"ZLH73VJZ","created_at":"2026-05-18T12:33:07.085635+00:00"}],"events":[],"event_summary":{},"paper_claims":[],"inbound_citations":{"count":0,"internal_anchor_count":0,"sample":[]},"formal_canon":{"evidence_count":0,"sample":[],"anchors":[]},"links":{"html":"https://pith.science/pith/ZLH73VJZOWFWI62YK67UNKVIPY","json":"https://pith.science/pith/ZLH73VJZOWFWI62YK67UNKVIPY.json","graph_json":"https://pith.science/api/pith-number/ZLH73VJZOWFWI62YK67UNKVIPY/graph.json","events_json":"https://pith.science/api/pith-number/ZLH73VJZOWFWI62YK67UNKVIPY/events.json","paper":"https://pith.science/paper/ZLH73VJZ"},"agent_actions":{"view_html":"https://pith.science/pith/ZLH73VJZOWFWI62YK67UNKVIPY","download_json":"https://pith.science/pith/ZLH73VJZOWFWI62YK67UNKVIPY.json","view_paper":"https://pith.science/paper/ZLH73VJZ","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=1803.09876&json=true","fetch_graph":"https://pith.science/api/pith-number/ZLH73VJZOWFWI62YK67UNKVIPY/graph.json","fetch_events":"https://pith.science/api/pith-number/ZLH73VJZOWFWI62YK67UNKVIPY/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/ZLH73VJZOWFWI62YK67UNKVIPY/action/timestamp_anchor","attest_storage":"https://pith.science/pith/ZLH73VJZOWFWI62YK67UNKVIPY/action/storage_attestation","attest_author":"https://pith.science/pith/ZLH73VJZOWFWI62YK67UNKVIPY/action/author_attestation","sign_citation":"https://pith.science/pith/ZLH73VJZOWFWI62YK67UNKVIPY/action/citation_signature","submit_replication":"https://pith.science/pith/ZLH73VJZOWFWI62YK67UNKVIPY/action/replication_record"}},"created_at":"2026-05-18T00:20:07.986061+00:00","updated_at":"2026-05-18T00:20:07.986061+00:00"}