{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2025:7BNLNBHRM5RS6LGST6SYW2QGCY","short_pith_number":"pith:7BNLNBHR","schema_version":"1.0","canonical_sha256":"f85ab684f167632f2cd29fa58b6a06162aee9bb77d2b66d75aca62e898fca7d8","source":{"kind":"arxiv","id":"2507.22372","version":1},"attestation_state":"computed","paper":{"title":"Leveraging Caliper and Benchpark to Analyze MPI Communication Patterns: Insights from AMG2023, Kripke, and Laghos","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.DC","authors_text":"Anthony Skjellum, David Boehme, Derek Schafer, Dewi Yokelson, Evelyn Namugwanya, Grace Nansamba, Michael McKinsey, Olga Pearce, Riley Shipley","submitted_at":"2025-07-30T04:28:19Z","abstract_excerpt":"We introduce ``communication regions'' into the widely used Caliper HPC profiling tool. A communication region is an annotation enabling capture of metrics about the data being communicated (including statistics of these metrics), and metrics about the MPI processes involved in the communications, something not previously possible in Caliper. We explore the utility of communication regions with three representative modeling and simulation applications, AMG2023, Kripke, and Laghos, all part of the comprehensive Benchpark suite that includes Caliper annotations. Enhanced Caliper reveals detailed"},"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":"2507.22372","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.DC","submitted_at":"2025-07-30T04:28:19Z","cross_cats_sorted":[],"title_canon_sha256":"c0fdac1a973b09dfb1c67607eac1aa37bac57e0c3651d6c6738e2f35a9ecb1b1","abstract_canon_sha256":"a69cc63389ed3da6d861937c19a0baf2991fabeee9ef861c885675c2df3c6eeb"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T11:45:40.454984Z","signature_b64":"9tW5BoZmGoHBIMcNRo7VY62NlpyLNw/Blr8mo6G1bXdCtoq3gXYufWi68tLgY700mZ2k6m7uWEQ5v09q1WpWAg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"f85ab684f167632f2cd29fa58b6a06162aee9bb77d2b66d75aca62e898fca7d8","last_reissued_at":"2026-07-05T11:45:40.454388Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T11:45:40.454388Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Leveraging Caliper and Benchpark to Analyze MPI Communication Patterns: Insights from AMG2023, Kripke, and Laghos","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.DC","authors_text":"Anthony Skjellum, David Boehme, Derek Schafer, Dewi Yokelson, Evelyn Namugwanya, Grace Nansamba, Michael McKinsey, Olga Pearce, Riley Shipley","submitted_at":"2025-07-30T04:28:19Z","abstract_excerpt":"We introduce ``communication regions'' into the widely used Caliper HPC profiling tool. A communication region is an annotation enabling capture of metrics about the data being communicated (including statistics of these metrics), and metrics about the MPI processes involved in the communications, something not previously possible in Caliper. We explore the utility of communication regions with three representative modeling and simulation applications, AMG2023, Kripke, and Laghos, all part of the comprehensive Benchpark suite that includes Caliper annotations. Enhanced Caliper reveals detailed"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2507.22372","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/2507.22372/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":"2507.22372","created_at":"2026-07-05T11:45:40.454455+00:00"},{"alias_kind":"arxiv_version","alias_value":"2507.22372v1","created_at":"2026-07-05T11:45:40.454455+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2507.22372","created_at":"2026-07-05T11:45:40.454455+00:00"},{"alias_kind":"pith_short_12","alias_value":"7BNLNBHRM5RS","created_at":"2026-07-05T11:45:40.454455+00:00"},{"alias_kind":"pith_short_16","alias_value":"7BNLNBHRM5RS6LGS","created_at":"2026-07-05T11:45:40.454455+00:00"},{"alias_kind":"pith_short_8","alias_value":"7BNLNBHR","created_at":"2026-07-05T11:45:40.454455+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/7BNLNBHRM5RS6LGST6SYW2QGCY","json":"https://pith.science/pith/7BNLNBHRM5RS6LGST6SYW2QGCY.json","graph_json":"https://pith.science/api/pith-number/7BNLNBHRM5RS6LGST6SYW2QGCY/graph.json","events_json":"https://pith.science/api/pith-number/7BNLNBHRM5RS6LGST6SYW2QGCY/events.json","paper":"https://pith.science/paper/7BNLNBHR"},"agent_actions":{"view_html":"https://pith.science/pith/7BNLNBHRM5RS6LGST6SYW2QGCY","download_json":"https://pith.science/pith/7BNLNBHRM5RS6LGST6SYW2QGCY.json","view_paper":"https://pith.science/paper/7BNLNBHR","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2507.22372&json=true","fetch_graph":"https://pith.science/api/pith-number/7BNLNBHRM5RS6LGST6SYW2QGCY/graph.json","fetch_events":"https://pith.science/api/pith-number/7BNLNBHRM5RS6LGST6SYW2QGCY/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/7BNLNBHRM5RS6LGST6SYW2QGCY/action/timestamp_anchor","attest_storage":"https://pith.science/pith/7BNLNBHRM5RS6LGST6SYW2QGCY/action/storage_attestation","attest_author":"https://pith.science/pith/7BNLNBHRM5RS6LGST6SYW2QGCY/action/author_attestation","sign_citation":"https://pith.science/pith/7BNLNBHRM5RS6LGST6SYW2QGCY/action/citation_signature","submit_replication":"https://pith.science/pith/7BNLNBHRM5RS6LGST6SYW2QGCY/action/replication_record"}},"created_at":"2026-07-05T11:45:40.454455+00:00","updated_at":"2026-07-05T11:45:40.454455+00:00"}