{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2018:CFKWUE2EGEBKQYOKQEUZ4CE2TC","merge_version":"pith-open-graph-merge-v1","event_count":2,"valid_event_count":2,"invalid_event_count":0,"equivocation_count":0,"current":{"canonical_record":{"metadata":{"abstract_canon_sha256":"e2b6cd871ebe6455f3f98c6f17de073f0242f1890dbda47f1bc1562aad32c236","cross_cats_sorted":["cs.AR"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.DC","submitted_at":"2018-02-19T09:28:22Z","title_canon_sha256":"713ad62c010fde46d55428d9fd184eb61e1914bb4953e44d6f7a0550fb8e79f4"},"schema_version":"1.0","source":{"id":"1803.04783","kind":"arxiv","version":4}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1803.04783","created_at":"2026-05-18T00:03:00Z"},{"alias_kind":"arxiv_version","alias_value":"1803.04783v4","created_at":"2026-05-18T00:03:00Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1803.04783","created_at":"2026-05-18T00:03:00Z"},{"alias_kind":"pith_short_12","alias_value":"CFKWUE2EGEBK","created_at":"2026-05-18T12:32:16Z"},{"alias_kind":"pith_short_16","alias_value":"CFKWUE2EGEBKQYOK","created_at":"2026-05-18T12:32:16Z"},{"alias_kind":"pith_short_8","alias_value":"CFKWUE2E","created_at":"2026-05-18T12:32:16Z"}],"graph_snapshots":[{"event_id":"sha256:7c127c72ea4ec8b97713a621ffc537324cd82ce918cbfd94b0f0cd491233789a","target":"graph","created_at":"2026-05-18T00:03:00Z","signer":{"key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signer_id":"pith.science","signer_type":"pith_registry"},"payload":{"graph_snapshot":{"author_claims":{"count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","strong_count":0},"builder_version":"pith-number-builder-2026-05-17-v1","claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"paper":{"abstract_excerpt":"Most investigations into near-memory hardware accelerators for deep neural networks have primarily focused on inference, while the potential of accelerating training has received relatively little attention so far. Based on an in-depth analysis of the key computational patterns in state-of-the-art gradient-based training methods, we propose an efficient near-memory acceleration engine called NTX that can be used to train state-of-the-art deep convolutional neural networks at scale. Our main contributions are: (i) a loose coupling of RISC-V cores and NTX co-processors reducing offloading overhe","authors_text":"Fabian Schuiki, Frank K. G\\\"urkaynak, Luca Benini, Michael Schaffner","cross_cats":["cs.AR"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.DC","submitted_at":"2018-02-19T09:28:22Z","title":"A Scalable Near-Memory Architecture for Training Deep Neural Networks on Large In-Memory Datasets"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1803.04783","kind":"arxiv","version":4},"verdict":{"created_at":null,"id":null,"model_set":{},"one_line_summary":"","pipeline_version":null,"pith_extraction_headline":"","strongest_claim":"","weakest_assumption":""}},"verdict_id":null}}],"author_attestations":[],"timestamp_anchors":[],"storage_attestations":[],"citation_signatures":[],"replication_records":[],"corrections":[],"mirror_hints":[],"record_created":{"event_id":"sha256:63cfad59223ca7a74a18b7e7b369d429a3cb04d5555ed55023392d7de63ce1db","target":"record","created_at":"2026-05-18T00:03:00Z","signer":{"key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signer_id":"pith.science","signer_type":"pith_registry"},"payload":{"attestation_state":"computed","canonical_record":{"metadata":{"abstract_canon_sha256":"e2b6cd871ebe6455f3f98c6f17de073f0242f1890dbda47f1bc1562aad32c236","cross_cats_sorted":["cs.AR"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.DC","submitted_at":"2018-02-19T09:28:22Z","title_canon_sha256":"713ad62c010fde46d55428d9fd184eb61e1914bb4953e44d6f7a0550fb8e79f4"},"schema_version":"1.0","source":{"id":"1803.04783","kind":"arxiv","version":4}},"canonical_sha256":"11556a13443102a861ca81299e089a9884bd188770ddfcd110b00924a8c08f7f","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"11556a13443102a861ca81299e089a9884bd188770ddfcd110b00924a8c08f7f","first_computed_at":"2026-05-18T00:03:00.004408Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T00:03:00.004408Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"+xTvZYrQ4z5yNOJDBJe1XuAyc7fSvLnGtfw8xY+SRyhRdiIMGalABvVxx4fbyRCnBoW5DbEqXQiLKbOf4T1sDg==","signature_status":"signed_v1","signed_at":"2026-05-18T00:03:00.004896Z","signed_message":"canonical_sha256_bytes"},"source_id":"1803.04783","source_kind":"arxiv","source_version":4}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:63cfad59223ca7a74a18b7e7b369d429a3cb04d5555ed55023392d7de63ce1db","sha256:7c127c72ea4ec8b97713a621ffc537324cd82ce918cbfd94b0f0cd491233789a"],"state_sha256":"75b8bf55fa717cf98fee96c94ca80bcaad4a43f5e17998b21f3ab25390eb95e8"}