{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2011:MSRBWR4PSH72ZJRVGKQBGCA5E5","short_pith_number":"pith:MSRBWR4P","schema_version":"1.0","canonical_sha256":"64a21b478f91ffaca63532a013081d27420455efaf5ce71d5e9865dd91dbcae7","source":{"kind":"arxiv","id":"1106.5273","version":3},"attestation_state":"computed","paper":{"title":"Petascale turbulence simulation using a highly parallel fast multipole method on GPUs","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["physics.comp-ph","physics.flu-dyn"],"primary_cat":"cs.NA","authors_text":"K. Yasuoka, L. A. Barba, R. Yokota, T. Narumi","submitted_at":"2011-06-26T22:05:59Z","abstract_excerpt":"This paper reports large-scale direct numerical simulations of homogeneous-isotropic fluid turbulence, achieving sustained performance of 1.08 petaflop/s on gpu hardware using single precision. The simulations use a vortex particle method to solve the Navier-Stokes equations, with a highly parallel fast multipole method (FMM) as numerical engine, and match the current record in mesh size for this application, a cube of 4096^3 computational points solved with a spectral method. The standard numerical approach used in this field is the pseudo-spectral method, relying on the FFT algorithm as nume"},"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":"1106.5273","kind":"arxiv","version":3},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.NA","submitted_at":"2011-06-26T22:05:59Z","cross_cats_sorted":["physics.comp-ph","physics.flu-dyn"],"title_canon_sha256":"77c9887c2d4f329f65b929143cc44502b6b59ad92233875b26aa809a16609fba","abstract_canon_sha256":"8222f65dba28609e262a71f704e12b33eb9c2f29dd1f805da780c775dc50f547"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T03:42:11.969233Z","signature_b64":"hgQb1wMI4UvefBqYKrIWY+z7MVjZGKpBMx8FbCZgmjK4PZPErLdTzawTrxH9feeClbh9gZa5ZcR8F/u0bYcACw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"64a21b478f91ffaca63532a013081d27420455efaf5ce71d5e9865dd91dbcae7","last_reissued_at":"2026-05-18T03:42:11.968453Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T03:42:11.968453Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Petascale turbulence simulation using a highly parallel fast multipole method on GPUs","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["physics.comp-ph","physics.flu-dyn"],"primary_cat":"cs.NA","authors_text":"K. Yasuoka, L. A. Barba, R. Yokota, T. Narumi","submitted_at":"2011-06-26T22:05:59Z","abstract_excerpt":"This paper reports large-scale direct numerical simulations of homogeneous-isotropic fluid turbulence, achieving sustained performance of 1.08 petaflop/s on gpu hardware using single precision. The simulations use a vortex particle method to solve the Navier-Stokes equations, with a highly parallel fast multipole method (FMM) as numerical engine, and match the current record in mesh size for this application, a cube of 4096^3 computational points solved with a spectral method. The standard numerical approach used in this field is the pseudo-spectral method, relying on the FFT algorithm as nume"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1106.5273","kind":"arxiv","version":3},"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":"1106.5273","created_at":"2026-05-18T03:42:11.968603+00:00"},{"alias_kind":"arxiv_version","alias_value":"1106.5273v3","created_at":"2026-05-18T03:42:11.968603+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1106.5273","created_at":"2026-05-18T03:42:11.968603+00:00"},{"alias_kind":"pith_short_12","alias_value":"MSRBWR4PSH72","created_at":"2026-05-18T12:26:34.985390+00:00"},{"alias_kind":"pith_short_16","alias_value":"MSRBWR4PSH72ZJRV","created_at":"2026-05-18T12:26:34.985390+00:00"},{"alias_kind":"pith_short_8","alias_value":"MSRBWR4P","created_at":"2026-05-18T12:26:34.985390+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/MSRBWR4PSH72ZJRVGKQBGCA5E5","json":"https://pith.science/pith/MSRBWR4PSH72ZJRVGKQBGCA5E5.json","graph_json":"https://pith.science/api/pith-number/MSRBWR4PSH72ZJRVGKQBGCA5E5/graph.json","events_json":"https://pith.science/api/pith-number/MSRBWR4PSH72ZJRVGKQBGCA5E5/events.json","paper":"https://pith.science/paper/MSRBWR4P"},"agent_actions":{"view_html":"https://pith.science/pith/MSRBWR4PSH72ZJRVGKQBGCA5E5","download_json":"https://pith.science/pith/MSRBWR4PSH72ZJRVGKQBGCA5E5.json","view_paper":"https://pith.science/paper/MSRBWR4P","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=1106.5273&json=true","fetch_graph":"https://pith.science/api/pith-number/MSRBWR4PSH72ZJRVGKQBGCA5E5/graph.json","fetch_events":"https://pith.science/api/pith-number/MSRBWR4PSH72ZJRVGKQBGCA5E5/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/MSRBWR4PSH72ZJRVGKQBGCA5E5/action/timestamp_anchor","attest_storage":"https://pith.science/pith/MSRBWR4PSH72ZJRVGKQBGCA5E5/action/storage_attestation","attest_author":"https://pith.science/pith/MSRBWR4PSH72ZJRVGKQBGCA5E5/action/author_attestation","sign_citation":"https://pith.science/pith/MSRBWR4PSH72ZJRVGKQBGCA5E5/action/citation_signature","submit_replication":"https://pith.science/pith/MSRBWR4PSH72ZJRVGKQBGCA5E5/action/replication_record"}},"created_at":"2026-05-18T03:42:11.968603+00:00","updated_at":"2026-05-18T03:42:11.968603+00:00"}