{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2012:YCJ73GL5BUXON3D7FXAK3UXB6P","short_pith_number":"pith:YCJ73GL5","schema_version":"1.0","canonical_sha256":"c093fd997d0d2ee6ec7f2dc0add2e1f3fb8f525206ee0080fa6c7520a2d5dd43","source":{"kind":"arxiv","id":"1205.2509","version":1},"attestation_state":"computed","paper":{"title":"Optimising Performance Through Unbalanced Decompositions","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["physics.plasm-ph"],"primary_cat":"cs.DC","authors_text":"Adrian Jackson, C. M. Roach, Joachim Hein","submitted_at":"2012-05-11T13:06:54Z","abstract_excerpt":"GS2 is an initial value gyrokinetic simulation code developed to study low-frequency turbulence in magnetized plasma. It is parallelised using MPI with the simulation domain decomposed across tasks. The optimal domain decomposition is non-trivial, and complicated by the different requirements of the linear and non-linear parts of the calculations. GS2 users currently choose a data layout, and are guided towards processor count that are efficient for linear calculations. These choices can, however, lead to data decompositions that are relatively inefficient for the non-linear calculations. We h"},"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":"1205.2509","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.DC","submitted_at":"2012-05-11T13:06:54Z","cross_cats_sorted":["physics.plasm-ph"],"title_canon_sha256":"796c662fead93bea7eeb8e85454c72decf2eb0c17e709c80193befca69bd050c","abstract_canon_sha256":"50b94006c837c940c85de90fa840e7bb685bc87568d34b318fac656d53bd9606"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T02:39:09.328424Z","signature_b64":"d766BrP6Qoeqqqm3pZei66lkhfZQBhIMH9LfbWi3Np8ex07taFJlwsIDc+lOLQJ+wXnCRr6L133XCfhsjHNDCQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"c093fd997d0d2ee6ec7f2dc0add2e1f3fb8f525206ee0080fa6c7520a2d5dd43","last_reissued_at":"2026-05-18T02:39:09.327899Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T02:39:09.327899Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Optimising Performance Through Unbalanced Decompositions","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["physics.plasm-ph"],"primary_cat":"cs.DC","authors_text":"Adrian Jackson, C. M. Roach, Joachim Hein","submitted_at":"2012-05-11T13:06:54Z","abstract_excerpt":"GS2 is an initial value gyrokinetic simulation code developed to study low-frequency turbulence in magnetized plasma. It is parallelised using MPI with the simulation domain decomposed across tasks. The optimal domain decomposition is non-trivial, and complicated by the different requirements of the linear and non-linear parts of the calculations. GS2 users currently choose a data layout, and are guided towards processor count that are efficient for linear calculations. These choices can, however, lead to data decompositions that are relatively inefficient for the non-linear calculations. We h"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1205.2509","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":"1205.2509","created_at":"2026-05-18T02:39:09.327977+00:00"},{"alias_kind":"arxiv_version","alias_value":"1205.2509v1","created_at":"2026-05-18T02:39:09.327977+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1205.2509","created_at":"2026-05-18T02:39:09.327977+00:00"},{"alias_kind":"pith_short_12","alias_value":"YCJ73GL5BUXO","created_at":"2026-05-18T12:27:27.928770+00:00"},{"alias_kind":"pith_short_16","alias_value":"YCJ73GL5BUXON3D7","created_at":"2026-05-18T12:27:27.928770+00:00"},{"alias_kind":"pith_short_8","alias_value":"YCJ73GL5","created_at":"2026-05-18T12:27:27.928770+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/YCJ73GL5BUXON3D7FXAK3UXB6P","json":"https://pith.science/pith/YCJ73GL5BUXON3D7FXAK3UXB6P.json","graph_json":"https://pith.science/api/pith-number/YCJ73GL5BUXON3D7FXAK3UXB6P/graph.json","events_json":"https://pith.science/api/pith-number/YCJ73GL5BUXON3D7FXAK3UXB6P/events.json","paper":"https://pith.science/paper/YCJ73GL5"},"agent_actions":{"view_html":"https://pith.science/pith/YCJ73GL5BUXON3D7FXAK3UXB6P","download_json":"https://pith.science/pith/YCJ73GL5BUXON3D7FXAK3UXB6P.json","view_paper":"https://pith.science/paper/YCJ73GL5","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=1205.2509&json=true","fetch_graph":"https://pith.science/api/pith-number/YCJ73GL5BUXON3D7FXAK3UXB6P/graph.json","fetch_events":"https://pith.science/api/pith-number/YCJ73GL5BUXON3D7FXAK3UXB6P/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/YCJ73GL5BUXON3D7FXAK3UXB6P/action/timestamp_anchor","attest_storage":"https://pith.science/pith/YCJ73GL5BUXON3D7FXAK3UXB6P/action/storage_attestation","attest_author":"https://pith.science/pith/YCJ73GL5BUXON3D7FXAK3UXB6P/action/author_attestation","sign_citation":"https://pith.science/pith/YCJ73GL5BUXON3D7FXAK3UXB6P/action/citation_signature","submit_replication":"https://pith.science/pith/YCJ73GL5BUXON3D7FXAK3UXB6P/action/replication_record"}},"created_at":"2026-05-18T02:39:09.327977+00:00","updated_at":"2026-05-18T02:39:09.327977+00:00"}