{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2016:6MZ3Y7KH3JV3LZFLHXVTQTYB6E","short_pith_number":"pith:6MZ3Y7KH","schema_version":"1.0","canonical_sha256":"f333bc7d47da6bb5e4ab3deb384f01f114e2e27084f04f481cabbff424fe022d","source":{"kind":"arxiv","id":"1611.02445","version":2},"attestation_state":"computed","paper":{"title":"A new GPU implementation for lattice-Boltzmann simulations on sparse geometries","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.PF"],"primary_cat":"cs.DC","authors_text":"Roman G. Szafran, Tadeusz Tomczak","submitted_at":"2016-11-08T09:33:18Z","abstract_excerpt":"We describe a high-performance implementation of the lattice Boltzmann method (LBM) for sparse 3D geometries on graphic processors (GPU). The main contribution of this work is a data layout that allows to minimise the number of redundant memory transactions during the propagation step of LBM. We show that by using a uniform mesh of small three-dimensional tiles and a careful data placement it is possible to utilise more than 70% of maximum theoretical GPU memory bandwidth for D3Q19 lattice and double precision numbers. The performance of our implementation is thoroughly examined and compared w"},"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":"1611.02445","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.DC","submitted_at":"2016-11-08T09:33:18Z","cross_cats_sorted":["cs.PF"],"title_canon_sha256":"8ac97c29145bbac447ee89d0887cf98142f4ed0ed48a6ea83a4f67f4c60b82da","abstract_canon_sha256":"a3fe94f498577e5c6ae52ec45955de102e7ae12fa028796adbbda389eca45ee9"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T00:33:32.351183Z","signature_b64":"QfXB96x0myXDSKjUywK4mZ05a4Mo/0zXc94EXqrI8AzNQRrdKIVOsF5RCGr9n8tKuLdh6hPukW4vdFGRZKIaAg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"f333bc7d47da6bb5e4ab3deb384f01f114e2e27084f04f481cabbff424fe022d","last_reissued_at":"2026-05-18T00:33:32.350687Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T00:33:32.350687Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"A new GPU implementation for lattice-Boltzmann simulations on sparse geometries","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.PF"],"primary_cat":"cs.DC","authors_text":"Roman G. Szafran, Tadeusz Tomczak","submitted_at":"2016-11-08T09:33:18Z","abstract_excerpt":"We describe a high-performance implementation of the lattice Boltzmann method (LBM) for sparse 3D geometries on graphic processors (GPU). The main contribution of this work is a data layout that allows to minimise the number of redundant memory transactions during the propagation step of LBM. We show that by using a uniform mesh of small three-dimensional tiles and a careful data placement it is possible to utilise more than 70% of maximum theoretical GPU memory bandwidth for D3Q19 lattice and double precision numbers. The performance of our implementation is thoroughly examined and compared w"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1611.02445","kind":"arxiv","version":2},"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":"1611.02445","created_at":"2026-05-18T00:33:32.350764+00:00"},{"alias_kind":"arxiv_version","alias_value":"1611.02445v2","created_at":"2026-05-18T00:33:32.350764+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1611.02445","created_at":"2026-05-18T00:33:32.350764+00:00"},{"alias_kind":"pith_short_12","alias_value":"6MZ3Y7KH3JV3","created_at":"2026-05-18T12:30:01.593930+00:00"},{"alias_kind":"pith_short_16","alias_value":"6MZ3Y7KH3JV3LZFL","created_at":"2026-05-18T12:30:01.593930+00:00"},{"alias_kind":"pith_short_8","alias_value":"6MZ3Y7KH","created_at":"2026-05-18T12:30:01.593930+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/6MZ3Y7KH3JV3LZFLHXVTQTYB6E","json":"https://pith.science/pith/6MZ3Y7KH3JV3LZFLHXVTQTYB6E.json","graph_json":"https://pith.science/api/pith-number/6MZ3Y7KH3JV3LZFLHXVTQTYB6E/graph.json","events_json":"https://pith.science/api/pith-number/6MZ3Y7KH3JV3LZFLHXVTQTYB6E/events.json","paper":"https://pith.science/paper/6MZ3Y7KH"},"agent_actions":{"view_html":"https://pith.science/pith/6MZ3Y7KH3JV3LZFLHXVTQTYB6E","download_json":"https://pith.science/pith/6MZ3Y7KH3JV3LZFLHXVTQTYB6E.json","view_paper":"https://pith.science/paper/6MZ3Y7KH","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=1611.02445&json=true","fetch_graph":"https://pith.science/api/pith-number/6MZ3Y7KH3JV3LZFLHXVTQTYB6E/graph.json","fetch_events":"https://pith.science/api/pith-number/6MZ3Y7KH3JV3LZFLHXVTQTYB6E/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/6MZ3Y7KH3JV3LZFLHXVTQTYB6E/action/timestamp_anchor","attest_storage":"https://pith.science/pith/6MZ3Y7KH3JV3LZFLHXVTQTYB6E/action/storage_attestation","attest_author":"https://pith.science/pith/6MZ3Y7KH3JV3LZFLHXVTQTYB6E/action/author_attestation","sign_citation":"https://pith.science/pith/6MZ3Y7KH3JV3LZFLHXVTQTYB6E/action/citation_signature","submit_replication":"https://pith.science/pith/6MZ3Y7KH3JV3LZFLHXVTQTYB6E/action/replication_record"}},"created_at":"2026-05-18T00:33:32.350764+00:00","updated_at":"2026-05-18T00:33:32.350764+00:00"}