{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2024:TGHLPYMH4E5O4XGNDBAQMTXFPJ","short_pith_number":"pith:TGHLPYMH","schema_version":"1.0","canonical_sha256":"998eb7e187e13aee5ccd1841064ee57a65efb80d2b4d901d3e5f1d1d2f500203","source":{"kind":"arxiv","id":"2401.01826","version":1},"attestation_state":"computed","paper":{"title":"Data-Driven Power Modeling and Monitoring via Hardware Performance Counters Tracking","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.OS"],"primary_cat":"cs.PF","authors_text":"Bj\\\"orn Forsberg, Gabriele Ara, Luca Benini, Sergio Mazzola, Thomas Benz, Tommaso Cucinotta","submitted_at":"2024-01-03T16:43:09Z","abstract_excerpt":"In the current high-performance and embedded computing era, full-stack energy-centric design is paramount. Use cases require increasingly high performance at an affordable power budget, often under real-time constraints. Extreme heterogeneity and parallelism address these issues but greatly complicate online power consumption assessment, which is essential for dynamic hardware and software stack adaptations. We introduce a novel architecture-agnostic power modeling methodology with state-of-the-art accuracy, low overhead, and high responsiveness. Our methodology identifies the best Performance"},"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":"2401.01826","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.PF","submitted_at":"2024-01-03T16:43:09Z","cross_cats_sorted":["cs.OS"],"title_canon_sha256":"7db3087d7eab250ad9eab66be7c16d06d644d659377ca00837381e14a50bac28","abstract_canon_sha256":"c0c7afec62b33ef87fb612b792968f90c1de1998f04ccd094fd5794e2a1b3828"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T07:29:57.882062Z","signature_b64":"lQt9GYex+i07xdwCgfa0mjg4IoQ1I33C4TxfZi3RSNifP7C3K0r/a6jy171oHQ+h/h4bTWQxs4Mz8qmtOk5sDg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"998eb7e187e13aee5ccd1841064ee57a65efb80d2b4d901d3e5f1d1d2f500203","last_reissued_at":"2026-07-05T07:29:57.881686Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T07:29:57.881686Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Data-Driven Power Modeling and Monitoring via Hardware Performance Counters Tracking","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.OS"],"primary_cat":"cs.PF","authors_text":"Bj\\\"orn Forsberg, Gabriele Ara, Luca Benini, Sergio Mazzola, Thomas Benz, Tommaso Cucinotta","submitted_at":"2024-01-03T16:43:09Z","abstract_excerpt":"In the current high-performance and embedded computing era, full-stack energy-centric design is paramount. Use cases require increasingly high performance at an affordable power budget, often under real-time constraints. Extreme heterogeneity and parallelism address these issues but greatly complicate online power consumption assessment, which is essential for dynamic hardware and software stack adaptations. We introduce a novel architecture-agnostic power modeling methodology with state-of-the-art accuracy, low overhead, and high responsiveness. Our methodology identifies the best Performance"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2401.01826","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/2401.01826/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":"2401.01826","created_at":"2026-07-05T07:29:57.881742+00:00"},{"alias_kind":"arxiv_version","alias_value":"2401.01826v1","created_at":"2026-07-05T07:29:57.881742+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2401.01826","created_at":"2026-07-05T07:29:57.881742+00:00"},{"alias_kind":"pith_short_12","alias_value":"TGHLPYMH4E5O","created_at":"2026-07-05T07:29:57.881742+00:00"},{"alias_kind":"pith_short_16","alias_value":"TGHLPYMH4E5O4XGN","created_at":"2026-07-05T07:29:57.881742+00:00"},{"alias_kind":"pith_short_8","alias_value":"TGHLPYMH","created_at":"2026-07-05T07:29:57.881742+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/TGHLPYMH4E5O4XGNDBAQMTXFPJ","json":"https://pith.science/pith/TGHLPYMH4E5O4XGNDBAQMTXFPJ.json","graph_json":"https://pith.science/api/pith-number/TGHLPYMH4E5O4XGNDBAQMTXFPJ/graph.json","events_json":"https://pith.science/api/pith-number/TGHLPYMH4E5O4XGNDBAQMTXFPJ/events.json","paper":"https://pith.science/paper/TGHLPYMH"},"agent_actions":{"view_html":"https://pith.science/pith/TGHLPYMH4E5O4XGNDBAQMTXFPJ","download_json":"https://pith.science/pith/TGHLPYMH4E5O4XGNDBAQMTXFPJ.json","view_paper":"https://pith.science/paper/TGHLPYMH","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2401.01826&json=true","fetch_graph":"https://pith.science/api/pith-number/TGHLPYMH4E5O4XGNDBAQMTXFPJ/graph.json","fetch_events":"https://pith.science/api/pith-number/TGHLPYMH4E5O4XGNDBAQMTXFPJ/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/TGHLPYMH4E5O4XGNDBAQMTXFPJ/action/timestamp_anchor","attest_storage":"https://pith.science/pith/TGHLPYMH4E5O4XGNDBAQMTXFPJ/action/storage_attestation","attest_author":"https://pith.science/pith/TGHLPYMH4E5O4XGNDBAQMTXFPJ/action/author_attestation","sign_citation":"https://pith.science/pith/TGHLPYMH4E5O4XGNDBAQMTXFPJ/action/citation_signature","submit_replication":"https://pith.science/pith/TGHLPYMH4E5O4XGNDBAQMTXFPJ/action/replication_record"}},"created_at":"2026-07-05T07:29:57.881742+00:00","updated_at":"2026-07-05T07:29:57.881742+00:00"}