{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2022:Q2A35IEQKTPTSQ773UBDUCAYHE","short_pith_number":"pith:Q2A35IEQ","schema_version":"1.0","canonical_sha256":"8681bea09054df3943ffdd023a0818393e83761292fe85fd48db892155638623","source":{"kind":"arxiv","id":"2204.03775","version":1},"attestation_state":"computed","paper":{"title":"Massively scalable stencil algorithm","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.MS","authors_text":"Jie Meng, Mathias Jacquelin, Mauricio Araya-Polo","submitted_at":"2022-04-07T23:27:51Z","abstract_excerpt":"Stencil computations lie at the heart of many scientific and industrial applications. Unfortunately, stencil algorithms perform poorly on machines with cache based memory hierarchy, due to low re-use of memory accesses. This work shows that for stencil computation a novel algorithm that leverages a localized communication strategy effectively exploits the Cerebras WSE-2, which has no cache hierarchy. This study focuses on a 25-point stencil finite-difference method for the 3D wave equation, a kernel frequently used in earth modeling as numerical simulation. In essence, the algorithm trades mem"},"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":"2204.03775","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.MS","submitted_at":"2022-04-07T23:27:51Z","cross_cats_sorted":[],"title_canon_sha256":"2d4cbfcf82cd355dcc3993c01823ad31c70bc85fd6acc2f743a5d8c82f513933","abstract_canon_sha256":"db3c2990f75194637f6fedc8150099a58c244def4353b7e73771581406ffca98"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T04:12:41.711491Z","signature_b64":"/GXIBJkRx5iCtcdrbbpCKRsdVF1J6kvCyseGCwOZwxHIEH1C6/VjiBN/OutFx9vJxfJ3NvvVQ7c85q+YCfX5Cg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"8681bea09054df3943ffdd023a0818393e83761292fe85fd48db892155638623","last_reissued_at":"2026-07-05T04:12:41.711118Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T04:12:41.711118Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Massively scalable stencil algorithm","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.MS","authors_text":"Jie Meng, Mathias Jacquelin, Mauricio Araya-Polo","submitted_at":"2022-04-07T23:27:51Z","abstract_excerpt":"Stencil computations lie at the heart of many scientific and industrial applications. Unfortunately, stencil algorithms perform poorly on machines with cache based memory hierarchy, due to low re-use of memory accesses. This work shows that for stencil computation a novel algorithm that leverages a localized communication strategy effectively exploits the Cerebras WSE-2, which has no cache hierarchy. This study focuses on a 25-point stencil finite-difference method for the 3D wave equation, a kernel frequently used in earth modeling as numerical simulation. In essence, the algorithm trades mem"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2204.03775","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":""},"integrity":{"clean":true,"summary":{"advisory":0,"critical":0,"by_detector":{},"informational":0},"endpoint":"/pith/2204.03775/integrity.json","findings":[],"available":true,"detectors_run":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938"},"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":"2204.03775","created_at":"2026-07-05T04:12:41.711178+00:00"},{"alias_kind":"arxiv_version","alias_value":"2204.03775v1","created_at":"2026-07-05T04:12:41.711178+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2204.03775","created_at":"2026-07-05T04:12:41.711178+00:00"},{"alias_kind":"pith_short_12","alias_value":"Q2A35IEQKTPT","created_at":"2026-07-05T04:12:41.711178+00:00"},{"alias_kind":"pith_short_16","alias_value":"Q2A35IEQKTPTSQ77","created_at":"2026-07-05T04:12:41.711178+00:00"},{"alias_kind":"pith_short_8","alias_value":"Q2A35IEQ","created_at":"2026-07-05T04:12:41.711178+00:00"}],"events":[],"event_summary":{},"paper_claims":[],"inbound_citations":{"count":1,"internal_anchor_count":0,"sample":[{"citing_arxiv_id":"2605.07954","citing_title":"Stencil Computations on Cerebras Wafer-Scale Engine","ref_index":23,"is_internal_anchor":false}]},"formal_canon":{"evidence_count":0,"sample":[],"anchors":[]},"links":{"html":"https://pith.science/pith/Q2A35IEQKTPTSQ773UBDUCAYHE","json":"https://pith.science/pith/Q2A35IEQKTPTSQ773UBDUCAYHE.json","graph_json":"https://pith.science/api/pith-number/Q2A35IEQKTPTSQ773UBDUCAYHE/graph.json","events_json":"https://pith.science/api/pith-number/Q2A35IEQKTPTSQ773UBDUCAYHE/events.json","paper":"https://pith.science/paper/Q2A35IEQ"},"agent_actions":{"view_html":"https://pith.science/pith/Q2A35IEQKTPTSQ773UBDUCAYHE","download_json":"https://pith.science/pith/Q2A35IEQKTPTSQ773UBDUCAYHE.json","view_paper":"https://pith.science/paper/Q2A35IEQ","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2204.03775&json=true","fetch_graph":"https://pith.science/api/pith-number/Q2A35IEQKTPTSQ773UBDUCAYHE/graph.json","fetch_events":"https://pith.science/api/pith-number/Q2A35IEQKTPTSQ773UBDUCAYHE/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/Q2A35IEQKTPTSQ773UBDUCAYHE/action/timestamp_anchor","attest_storage":"https://pith.science/pith/Q2A35IEQKTPTSQ773UBDUCAYHE/action/storage_attestation","attest_author":"https://pith.science/pith/Q2A35IEQKTPTSQ773UBDUCAYHE/action/author_attestation","sign_citation":"https://pith.science/pith/Q2A35IEQKTPTSQ773UBDUCAYHE/action/citation_signature","submit_replication":"https://pith.science/pith/Q2A35IEQKTPTSQ773UBDUCAYHE/action/replication_record"}},"created_at":"2026-07-05T04:12:41.711178+00:00","updated_at":"2026-07-05T04:12:41.711178+00:00"}