{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2017:BRUMMBGYZ75W7HDTRCTZ4F52FD","short_pith_number":"pith:BRUMMBGY","schema_version":"1.0","canonical_sha256":"0c68c604d8cffb6f9c7388a79e17ba28edcf620006906ecaa65155f9e40e6055","source":{"kind":"arxiv","id":"1703.00185","version":1},"attestation_state":"computed","paper":{"title":"Massively parallel lattice-Boltzmann codes on large GPU clusters","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.DC","authors_text":"A. Gabbana, E. Calore, E. Pellegrini, J. Kraus, R. Tripiccione, S.F. Schifano","submitted_at":"2017-03-01T08:59:48Z","abstract_excerpt":"This paper describes a massively parallel code for a state-of-the art thermal lattice- Boltzmann method. Our code has been carefully optimized for performance on one GPU and to have a good scaling behavior extending to a large number of GPUs. Versions of this code have been already used for large-scale studies of convective turbulence. GPUs are becoming increasingly popular in HPC applications, as they are able to deliver higher performance than traditional processors. Writing efficient programs for large clusters is not an easy task as codes must adapt to increasingly parallel architectures, "},"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":"1703.00185","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.DC","submitted_at":"2017-03-01T08:59:48Z","cross_cats_sorted":[],"title_canon_sha256":"e9b2d79d667a17aee38867ac7866489f2f3c5d2ab373785f5126658d88b744e7","abstract_canon_sha256":"995983ec60ddde0a2020b6d7db30dcf9e390addb6a3451452e60381a8af47e48"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T00:49:45.707913Z","signature_b64":"GMr/dMrbN4R0V8EiIdiJm/Sev16INXOQbHw48J5Lq/xYMs1yTWgJKfmX1dJZvFWFUX5cYhiBNLUVr4lKnXe+Cg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"0c68c604d8cffb6f9c7388a79e17ba28edcf620006906ecaa65155f9e40e6055","last_reissued_at":"2026-05-18T00:49:45.707164Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T00:49:45.707164Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Massively parallel lattice-Boltzmann codes on large GPU clusters","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.DC","authors_text":"A. Gabbana, E. Calore, E. Pellegrini, J. Kraus, R. Tripiccione, S.F. Schifano","submitted_at":"2017-03-01T08:59:48Z","abstract_excerpt":"This paper describes a massively parallel code for a state-of-the art thermal lattice- Boltzmann method. Our code has been carefully optimized for performance on one GPU and to have a good scaling behavior extending to a large number of GPUs. Versions of this code have been already used for large-scale studies of convective turbulence. GPUs are becoming increasingly popular in HPC applications, as they are able to deliver higher performance than traditional processors. Writing efficient programs for large clusters is not an easy task as codes must adapt to increasingly parallel architectures, "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1703.00185","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":"1703.00185","created_at":"2026-05-18T00:49:45.707287+00:00"},{"alias_kind":"arxiv_version","alias_value":"1703.00185v1","created_at":"2026-05-18T00:49:45.707287+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1703.00185","created_at":"2026-05-18T00:49:45.707287+00:00"},{"alias_kind":"pith_short_12","alias_value":"BRUMMBGYZ75W","created_at":"2026-05-18T12:31:08.081275+00:00"},{"alias_kind":"pith_short_16","alias_value":"BRUMMBGYZ75W7HDT","created_at":"2026-05-18T12:31:08.081275+00:00"},{"alias_kind":"pith_short_8","alias_value":"BRUMMBGY","created_at":"2026-05-18T12:31:08.081275+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/BRUMMBGYZ75W7HDTRCTZ4F52FD","json":"https://pith.science/pith/BRUMMBGYZ75W7HDTRCTZ4F52FD.json","graph_json":"https://pith.science/api/pith-number/BRUMMBGYZ75W7HDTRCTZ4F52FD/graph.json","events_json":"https://pith.science/api/pith-number/BRUMMBGYZ75W7HDTRCTZ4F52FD/events.json","paper":"https://pith.science/paper/BRUMMBGY"},"agent_actions":{"view_html":"https://pith.science/pith/BRUMMBGYZ75W7HDTRCTZ4F52FD","download_json":"https://pith.science/pith/BRUMMBGYZ75W7HDTRCTZ4F52FD.json","view_paper":"https://pith.science/paper/BRUMMBGY","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=1703.00185&json=true","fetch_graph":"https://pith.science/api/pith-number/BRUMMBGYZ75W7HDTRCTZ4F52FD/graph.json","fetch_events":"https://pith.science/api/pith-number/BRUMMBGYZ75W7HDTRCTZ4F52FD/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/BRUMMBGYZ75W7HDTRCTZ4F52FD/action/timestamp_anchor","attest_storage":"https://pith.science/pith/BRUMMBGYZ75W7HDTRCTZ4F52FD/action/storage_attestation","attest_author":"https://pith.science/pith/BRUMMBGYZ75W7HDTRCTZ4F52FD/action/author_attestation","sign_citation":"https://pith.science/pith/BRUMMBGYZ75W7HDTRCTZ4F52FD/action/citation_signature","submit_replication":"https://pith.science/pith/BRUMMBGYZ75W7HDTRCTZ4F52FD/action/replication_record"}},"created_at":"2026-05-18T00:49:45.707287+00:00","updated_at":"2026-05-18T00:49:45.707287+00:00"}