{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2017:BF4PEEGLFSVDLZHEQKEB7D3KA4","short_pith_number":"pith:BF4PEEGL","schema_version":"1.0","canonical_sha256":"0978f210cb2caa35e4e482881f8f6a072e341e82cbf68d9e0fffd403194ab19b","source":{"kind":"arxiv","id":"1712.03209","version":1},"attestation_state":"computed","paper":{"title":"Task Scheduling for Heterogeneous Multicore Systems","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.PF","authors_text":"Diana Marculescu, Zhuo Chen","submitted_at":"2017-12-08T18:34:15Z","abstract_excerpt":"In recent years, as the demand for low energy and high performance computing has steadily increased, heterogeneous computing has emerged as an important and promising solution. Because most workloads can typically run most efficiently on certain types of cores, mapping tasks on the best available resources can not only save energy but also deliver high performance. However, optimal task scheduling for performance and/or energy is yet to be solved for heterogeneous platforms. The work presented herein mathematically formulates the optimal heterogeneous system task scheduling as an optimization "},"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":"1712.03209","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.PF","submitted_at":"2017-12-08T18:34:15Z","cross_cats_sorted":[],"title_canon_sha256":"2e0e5984af9dcdb5d98400971e7e17c52cb50561cbf7a2ae9a5f665be5e70a22","abstract_canon_sha256":"ac81525094ab380dcdadbf92da51525ea028f1f9e2362775d9aabe0bcbb3371e"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T00:28:28.038164Z","signature_b64":"v1S2btn16Fg2TNOsnWVNBPD3DZ7O24aweRfS7vUSXk/ZJWjWi9oOUSuSbGf4gEysP4OHoFSMGRZVkJ5jb3X4DA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"0978f210cb2caa35e4e482881f8f6a072e341e82cbf68d9e0fffd403194ab19b","last_reissued_at":"2026-05-18T00:28:28.037578Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T00:28:28.037578Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Task Scheduling for Heterogeneous Multicore Systems","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.PF","authors_text":"Diana Marculescu, Zhuo Chen","submitted_at":"2017-12-08T18:34:15Z","abstract_excerpt":"In recent years, as the demand for low energy and high performance computing has steadily increased, heterogeneous computing has emerged as an important and promising solution. Because most workloads can typically run most efficiently on certain types of cores, mapping tasks on the best available resources can not only save energy but also deliver high performance. However, optimal task scheduling for performance and/or energy is yet to be solved for heterogeneous platforms. The work presented herein mathematically formulates the optimal heterogeneous system task scheduling as an optimization "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1712.03209","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":"1712.03209","created_at":"2026-05-18T00:28:28.037653+00:00"},{"alias_kind":"arxiv_version","alias_value":"1712.03209v1","created_at":"2026-05-18T00:28:28.037653+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1712.03209","created_at":"2026-05-18T00:28:28.037653+00:00"},{"alias_kind":"pith_short_12","alias_value":"BF4PEEGLFSVD","created_at":"2026-05-18T12:31:08.081275+00:00"},{"alias_kind":"pith_short_16","alias_value":"BF4PEEGLFSVDLZHE","created_at":"2026-05-18T12:31:08.081275+00:00"},{"alias_kind":"pith_short_8","alias_value":"BF4PEEGL","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/BF4PEEGLFSVDLZHEQKEB7D3KA4","json":"https://pith.science/pith/BF4PEEGLFSVDLZHEQKEB7D3KA4.json","graph_json":"https://pith.science/api/pith-number/BF4PEEGLFSVDLZHEQKEB7D3KA4/graph.json","events_json":"https://pith.science/api/pith-number/BF4PEEGLFSVDLZHEQKEB7D3KA4/events.json","paper":"https://pith.science/paper/BF4PEEGL"},"agent_actions":{"view_html":"https://pith.science/pith/BF4PEEGLFSVDLZHEQKEB7D3KA4","download_json":"https://pith.science/pith/BF4PEEGLFSVDLZHEQKEB7D3KA4.json","view_paper":"https://pith.science/paper/BF4PEEGL","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=1712.03209&json=true","fetch_graph":"https://pith.science/api/pith-number/BF4PEEGLFSVDLZHEQKEB7D3KA4/graph.json","fetch_events":"https://pith.science/api/pith-number/BF4PEEGLFSVDLZHEQKEB7D3KA4/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/BF4PEEGLFSVDLZHEQKEB7D3KA4/action/timestamp_anchor","attest_storage":"https://pith.science/pith/BF4PEEGLFSVDLZHEQKEB7D3KA4/action/storage_attestation","attest_author":"https://pith.science/pith/BF4PEEGLFSVDLZHEQKEB7D3KA4/action/author_attestation","sign_citation":"https://pith.science/pith/BF4PEEGLFSVDLZHEQKEB7D3KA4/action/citation_signature","submit_replication":"https://pith.science/pith/BF4PEEGLFSVDLZHEQKEB7D3KA4/action/replication_record"}},"created_at":"2026-05-18T00:28:28.037653+00:00","updated_at":"2026-05-18T00:28:28.037653+00:00"}