{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2015:Z4MNUH2CSEAI64UKSWNC626NJA","short_pith_number":"pith:Z4MNUH2C","schema_version":"1.0","canonical_sha256":"cf18da1f4291008f728a959a2f6bcd481a8c54c07146ff83386c248bcdc43a54","source":{"kind":"arxiv","id":"1505.02586","version":1},"attestation_state":"computed","paper":{"title":"Performance analysis of the Kahan-enhanced scalar product on current multicore processors","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.DC"],"primary_cat":"cs.PF","authors_text":"Dietmar Fey, Georg Hager, Gerhard Wellein, Jan Eitzinger, Johannes Hofmann","submitted_at":"2015-05-11T12:34:54Z","abstract_excerpt":"We investigate the performance characteristics of a numerically enhanced scalar product (dot) kernel loop that uses the Kahan algorithm to compensate for numerical errors, and describe efficient SIMD-vectorized implementations on recent Intel processors. Using low-level instruction analysis and the execution-cache-memory (ECM) performance model we pinpoint the relevant performance bottlenecks for single-core and thread-parallel execution, and predict performance and saturation behavior. We show that the Kahan-enhanced scalar product comes at almost no additional cost compared to the naive (non"},"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":"1505.02586","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.PF","submitted_at":"2015-05-11T12:34:54Z","cross_cats_sorted":["cs.DC"],"title_canon_sha256":"85d83d7fd2d1912f3197952890ac7517e9291cb6e70bc7eea2af91c4b9a08808","abstract_canon_sha256":"3d5ed4b58c7d84f6cd686d6f8e2156be457b233b78f6fd9e9360717a4ac764a5"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-17T23:53:52.681129Z","signature_b64":"mLh10pPyJz6pZRETx9m1lU0yasX96qZJVg0VeYPVFMmygWH9tMjKJJD9Rly4/eI7hSeGYd7iSrBFy/saKaQiBg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"cf18da1f4291008f728a959a2f6bcd481a8c54c07146ff83386c248bcdc43a54","last_reissued_at":"2026-05-17T23:53:52.680390Z","signature_status":"signed_v1","first_computed_at":"2026-05-17T23:53:52.680390Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Performance analysis of the Kahan-enhanced scalar product on current multicore processors","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.DC"],"primary_cat":"cs.PF","authors_text":"Dietmar Fey, Georg Hager, Gerhard Wellein, Jan Eitzinger, Johannes Hofmann","submitted_at":"2015-05-11T12:34:54Z","abstract_excerpt":"We investigate the performance characteristics of a numerically enhanced scalar product (dot) kernel loop that uses the Kahan algorithm to compensate for numerical errors, and describe efficient SIMD-vectorized implementations on recent Intel processors. Using low-level instruction analysis and the execution-cache-memory (ECM) performance model we pinpoint the relevant performance bottlenecks for single-core and thread-parallel execution, and predict performance and saturation behavior. We show that the Kahan-enhanced scalar product comes at almost no additional cost compared to the naive (non"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1505.02586","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":"1505.02586","created_at":"2026-05-17T23:53:52.680509+00:00"},{"alias_kind":"arxiv_version","alias_value":"1505.02586v1","created_at":"2026-05-17T23:53:52.680509+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1505.02586","created_at":"2026-05-17T23:53:52.680509+00:00"},{"alias_kind":"pith_short_12","alias_value":"Z4MNUH2CSEAI","created_at":"2026-05-18T12:29:52.810259+00:00"},{"alias_kind":"pith_short_16","alias_value":"Z4MNUH2CSEAI64UK","created_at":"2026-05-18T12:29:52.810259+00:00"},{"alias_kind":"pith_short_8","alias_value":"Z4MNUH2C","created_at":"2026-05-18T12:29:52.810259+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/Z4MNUH2CSEAI64UKSWNC626NJA","json":"https://pith.science/pith/Z4MNUH2CSEAI64UKSWNC626NJA.json","graph_json":"https://pith.science/api/pith-number/Z4MNUH2CSEAI64UKSWNC626NJA/graph.json","events_json":"https://pith.science/api/pith-number/Z4MNUH2CSEAI64UKSWNC626NJA/events.json","paper":"https://pith.science/paper/Z4MNUH2C"},"agent_actions":{"view_html":"https://pith.science/pith/Z4MNUH2CSEAI64UKSWNC626NJA","download_json":"https://pith.science/pith/Z4MNUH2CSEAI64UKSWNC626NJA.json","view_paper":"https://pith.science/paper/Z4MNUH2C","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=1505.02586&json=true","fetch_graph":"https://pith.science/api/pith-number/Z4MNUH2CSEAI64UKSWNC626NJA/graph.json","fetch_events":"https://pith.science/api/pith-number/Z4MNUH2CSEAI64UKSWNC626NJA/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/Z4MNUH2CSEAI64UKSWNC626NJA/action/timestamp_anchor","attest_storage":"https://pith.science/pith/Z4MNUH2CSEAI64UKSWNC626NJA/action/storage_attestation","attest_author":"https://pith.science/pith/Z4MNUH2CSEAI64UKSWNC626NJA/action/author_attestation","sign_citation":"https://pith.science/pith/Z4MNUH2CSEAI64UKSWNC626NJA/action/citation_signature","submit_replication":"https://pith.science/pith/Z4MNUH2CSEAI64UKSWNC626NJA/action/replication_record"}},"created_at":"2026-05-17T23:53:52.680509+00:00","updated_at":"2026-05-17T23:53:52.680509+00:00"}