{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2021:REKYWRLSAOG72RLVASVPAOYQ5W","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":"217487b2dad31ea4655195fc9e0b83f19330ea8b5c62c08cca32c8f07834eb42","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.DC","submitted_at":"2021-11-28T22:43:13Z","title_canon_sha256":"1daff4f5f3fe745e18a201ae835936304d210146944c94f4270137334e38aab4"},"schema_version":"1.0","source":{"id":"2111.14255","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2111.14255","created_at":"2026-07-05T03:35:40Z"},{"alias_kind":"arxiv_version","alias_value":"2111.14255v1","created_at":"2026-07-05T03:35:40Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2111.14255","created_at":"2026-07-05T03:35:40Z"},{"alias_kind":"pith_short_12","alias_value":"REKYWRLSAOG7","created_at":"2026-07-05T03:35:40Z"},{"alias_kind":"pith_short_16","alias_value":"REKYWRLSAOG72RLV","created_at":"2026-07-05T03:35:40Z"},{"alias_kind":"pith_short_8","alias_value":"REKYWRLS","created_at":"2026-07-05T03:35:40Z"}],"graph_snapshots":[{"event_id":"sha256:eb41fd4ac80a234026e69d7421263f66e7dc534322b7c05c72b10e4da6b8b516","target":"graph","created_at":"2026-07-05T03:35:40Z","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"},"integrity":{"available":true,"clean":true,"detectors_run":[],"endpoint":"/pith/2111.14255/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"With the fast development of deep neural networks (DNNs), many real-world applications are adopting multiple models to conduct compound tasks, such as co-running classification, detection, and segmentation models on autonomous vehicles. Such multi-tenant DNN inference cases greatly exacerbate the computational complexity and call for comprehensive collaboration for graph-level operator scheduling, runtime-level resource awareness, as well as hardware scheduler support. However, the current scheduling support for such multi-tenant inference is still relatively backward. In this work, we propose","authors_text":"Chenchen Liu, Di Wang, Fuxun Yu, Longfei Shangguan, Shawn Bray, Xiang Chen, Xulong Tang","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.DC","submitted_at":"2021-11-28T22:43:13Z","title":"Automated Runtime-Aware Scheduling for Multi-Tenant DNN Inference on GPU"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2111.14255","kind":"arxiv","version":1},"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":"sha256:2ca342f70406691660987cf4f961011bb0433792655b82117a2bbf33d5c7f93e","target":"record","created_at":"2026-07-05T03:35:40Z","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":"217487b2dad31ea4655195fc9e0b83f19330ea8b5c62c08cca32c8f07834eb42","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.DC","submitted_at":"2021-11-28T22:43:13Z","title_canon_sha256":"1daff4f5f3fe745e18a201ae835936304d210146944c94f4270137334e38aab4"},"schema_version":"1.0","source":{"id":"2111.14255","kind":"arxiv","version":1}},"canonical_sha256":"89158b4572038dfd457504aaf03b10ed92bae519f00678fdd8faa708427dd541","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"89158b4572038dfd457504aaf03b10ed92bae519f00678fdd8faa708427dd541","first_computed_at":"2026-07-05T03:35:40.851756Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T03:35:40.851756Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"d2uTi96Pxgq7oV0X/6T9AfPWrpAksNUL4D7fOxbweMzAtIMnnyIzIxh4Hlw1IMrD1zsqP0tiT4eGoVNUbYkKDw==","signature_status":"signed_v1","signed_at":"2026-07-05T03:35:40.852193Z","signed_message":"canonical_sha256_bytes"},"source_id":"2111.14255","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:2ca342f70406691660987cf4f961011bb0433792655b82117a2bbf33d5c7f93e","sha256:eb41fd4ac80a234026e69d7421263f66e7dc534322b7c05c72b10e4da6b8b516"],"state_sha256":"96bc6a90e899c85b5683a64222ce2a3c8f675ac0c121a236d9a9d63c96d9a0fd"}