{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2020:A5WK7CO33EEJLRK7Y7A7IMDUOT","short_pith_number":"pith:A5WK7CO3","schema_version":"1.0","canonical_sha256":"076caf89dbd90895c55fc7c1f4307474f19e3f11078d9d6b60523bfe8ea2ba2a","source":{"kind":"arxiv","id":"2004.01639","version":1},"attestation_state":"computed","paper":{"title":"SNEAP: A Fast and Efficient Toolchain for Mapping Large-Scale Spiking Neural Network onto NoC-based Neuromorphic Platform","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.DC","authors_text":"Lei Wang, Limeng Zhang, Shasha Guo, Shiming Li, Shiying Wang, Wei Shi, Weixia Xu, Ziyang Kang","submitted_at":"2020-03-31T14:09:08Z","abstract_excerpt":"Spiking neural network (SNN), as the third generation of artificial neural networks, has been widely adopted in vision and audio tasks. Nowadays, many neuromorphic platforms support SNN simulation and adopt Network-on-Chips (NoC) architecture for multi-cores interconnection.\n  However, interconnection brings huge area overhead to the platform. Moreover, run-time communication on the interconnection has a significant effect on the total power consumption and performance of the platform. In this paper, we propose a toolchain called SNEAP for mapping SNNs to neuromorphic platforms with multi-core"},"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":"2004.01639","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.DC","submitted_at":"2020-03-31T14:09:08Z","cross_cats_sorted":[],"title_canon_sha256":"df9106a106444517447630127f46e3bb73c18d5e58ab24dc049ee4de817439de","abstract_canon_sha256":"23e4adf30dd65916e5d4d40198fec97b61743d51410e5a6aff9c266e1a064fe5"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T00:52:34.714695Z","signature_b64":"LLVQ6g0VucJccWrNje0H+yLRxq+vLM6lcz0GDLy3MvqJRBKxGqhwZIhCBtfJHFsocF5Lw4co6f7kQTjqE3/qCg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"076caf89dbd90895c55fc7c1f4307474f19e3f11078d9d6b60523bfe8ea2ba2a","last_reissued_at":"2026-07-05T00:52:34.714270Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T00:52:34.714270Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"SNEAP: A Fast and Efficient Toolchain for Mapping Large-Scale Spiking Neural Network onto NoC-based Neuromorphic Platform","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.DC","authors_text":"Lei Wang, Limeng Zhang, Shasha Guo, Shiming Li, Shiying Wang, Wei Shi, Weixia Xu, Ziyang Kang","submitted_at":"2020-03-31T14:09:08Z","abstract_excerpt":"Spiking neural network (SNN), as the third generation of artificial neural networks, has been widely adopted in vision and audio tasks. Nowadays, many neuromorphic platforms support SNN simulation and adopt Network-on-Chips (NoC) architecture for multi-cores interconnection.\n  However, interconnection brings huge area overhead to the platform. Moreover, run-time communication on the interconnection has a significant effect on the total power consumption and performance of the platform. In this paper, we propose a toolchain called SNEAP for mapping SNNs to neuromorphic platforms with multi-core"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2004.01639","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/2004.01639/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":"2004.01639","created_at":"2026-07-05T00:52:34.714328+00:00"},{"alias_kind":"arxiv_version","alias_value":"2004.01639v1","created_at":"2026-07-05T00:52:34.714328+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2004.01639","created_at":"2026-07-05T00:52:34.714328+00:00"},{"alias_kind":"pith_short_12","alias_value":"A5WK7CO33EEJ","created_at":"2026-07-05T00:52:34.714328+00:00"},{"alias_kind":"pith_short_16","alias_value":"A5WK7CO33EEJLRK7","created_at":"2026-07-05T00:52:34.714328+00:00"},{"alias_kind":"pith_short_8","alias_value":"A5WK7CO3","created_at":"2026-07-05T00:52:34.714328+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/A5WK7CO33EEJLRK7Y7A7IMDUOT","json":"https://pith.science/pith/A5WK7CO33EEJLRK7Y7A7IMDUOT.json","graph_json":"https://pith.science/api/pith-number/A5WK7CO33EEJLRK7Y7A7IMDUOT/graph.json","events_json":"https://pith.science/api/pith-number/A5WK7CO33EEJLRK7Y7A7IMDUOT/events.json","paper":"https://pith.science/paper/A5WK7CO3"},"agent_actions":{"view_html":"https://pith.science/pith/A5WK7CO33EEJLRK7Y7A7IMDUOT","download_json":"https://pith.science/pith/A5WK7CO33EEJLRK7Y7A7IMDUOT.json","view_paper":"https://pith.science/paper/A5WK7CO3","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2004.01639&json=true","fetch_graph":"https://pith.science/api/pith-number/A5WK7CO33EEJLRK7Y7A7IMDUOT/graph.json","fetch_events":"https://pith.science/api/pith-number/A5WK7CO33EEJLRK7Y7A7IMDUOT/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/A5WK7CO33EEJLRK7Y7A7IMDUOT/action/timestamp_anchor","attest_storage":"https://pith.science/pith/A5WK7CO33EEJLRK7Y7A7IMDUOT/action/storage_attestation","attest_author":"https://pith.science/pith/A5WK7CO33EEJLRK7Y7A7IMDUOT/action/author_attestation","sign_citation":"https://pith.science/pith/A5WK7CO33EEJLRK7Y7A7IMDUOT/action/citation_signature","submit_replication":"https://pith.science/pith/A5WK7CO33EEJLRK7Y7A7IMDUOT/action/replication_record"}},"created_at":"2026-07-05T00:52:34.714328+00:00","updated_at":"2026-07-05T00:52:34.714328+00:00"}