{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2021:BCKZACN5K7KVWMBQDLCAQ2KRAY","short_pith_number":"pith:BCKZACN5","canonical_record":{"source":{"id":"2111.12885","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.DC","submitted_at":"2021-11-25T03:19:55Z","cross_cats_sorted":[],"title_canon_sha256":"b6585ed6843148e0a212709c845285d57406839699ca8a457f9190cdbea1856b","abstract_canon_sha256":"67d2e2291f04a466a536e7fd84adf93fe89b1237764286048cbed01591745005"},"schema_version":"1.0"},"canonical_sha256":"08959009bd57d55b30301ac4086951063f927bc76cacb80b35497ad7f99dfcfc","source":{"kind":"arxiv","id":"2111.12885","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2111.12885","created_at":"2026-07-05T03:34:59Z"},{"alias_kind":"arxiv_version","alias_value":"2111.12885v1","created_at":"2026-07-05T03:34:59Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2111.12885","created_at":"2026-07-05T03:34:59Z"},{"alias_kind":"pith_short_12","alias_value":"BCKZACN5K7KV","created_at":"2026-07-05T03:34:59Z"},{"alias_kind":"pith_short_16","alias_value":"BCKZACN5K7KVWMBQ","created_at":"2026-07-05T03:34:59Z"},{"alias_kind":"pith_short_8","alias_value":"BCKZACN5","created_at":"2026-07-05T03:34:59Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2021:BCKZACN5K7KVWMBQDLCAQ2KRAY","target":"record","payload":{"canonical_record":{"source":{"id":"2111.12885","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.DC","submitted_at":"2021-11-25T03:19:55Z","cross_cats_sorted":[],"title_canon_sha256":"b6585ed6843148e0a212709c845285d57406839699ca8a457f9190cdbea1856b","abstract_canon_sha256":"67d2e2291f04a466a536e7fd84adf93fe89b1237764286048cbed01591745005"},"schema_version":"1.0"},"canonical_sha256":"08959009bd57d55b30301ac4086951063f927bc76cacb80b35497ad7f99dfcfc","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T03:34:59.670671Z","signature_b64":"n3Z3VonDwPBIZAXaiUPyZOE+3m90BMa7oR0qxBUxolYVVVNwxPBrW9BL/0C+DKY+cGnkwWq4fWzf1WAG5Uv8Aw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"08959009bd57d55b30301ac4086951063f927bc76cacb80b35497ad7f99dfcfc","last_reissued_at":"2026-07-05T03:34:59.670177Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T03:34:59.670177Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2111.12885","source_version":1,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T03:34:59Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"9AGYJH9ycyODMOY1+Y4W0ybezG2LcHAGmnMI1FwuSNdjQvC+bVYYC0TdiNDEKEOlKhIvUsBlezXM9w8fZZETCg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-20T19:59:42.126622Z"},"content_sha256":"24dd2297c636cf6b29041252265ae43e491b2d4dc7830c78c6ad95b4ee595555","schema_version":"1.0","event_id":"sha256:24dd2297c636cf6b29041252265ae43e491b2d4dc7830c78c6ad95b4ee595555"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2021:BCKZACN5K7KVWMBQDLCAQ2KRAY","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"A Dense Tensor Accelerator with Data Exchange Mesh for DNN and Vision Workloads","license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.DC","authors_text":"Shao-Yi Chien, Wei-Chao Chen. Chia-Lin Yang, Yu-Sheng Lin","submitted_at":"2021-11-25T03:19:55Z","abstract_excerpt":"We propose a dense tensor accelerator called VectorMesh, a scalable, memory-efficient architecture that can support a wide variety of DNN and computer vision workloads. Its building block is a tile execution unit~(TEU), which includes dozens of processing elements~(PEs) and SRAM buffers connected through a butterfly network. A mesh of FIFOs between the TEUs facilitates data exchange between tiles and promote local data to global visibility. Our design performs better according to the roofline model for CNN, GEMM, and spatial matching algorithms compared to state-of-the-art architectures. It ca"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2111.12885","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/2111.12885/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"},"verdict_id":null},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T03:34:59Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"untEm7+cAf7YhhCIcMnJsn691DB96Z9ceP2MPpLV+T6s4JUEYYybihoDlb4wBgajLN2PzIQv8X3gn5ETTXpXBg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-20T19:59:42.127109Z"},"content_sha256":"7ef3820ea34a2d6fa509928a921323728d54b0946978615c8ca4cc126bbb7ec6","schema_version":"1.0","event_id":"sha256:7ef3820ea34a2d6fa509928a921323728d54b0946978615c8ca4cc126bbb7ec6"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/BCKZACN5K7KVWMBQDLCAQ2KRAY/bundle.json","state_url":"https://pith.science/pith/BCKZACN5K7KVWMBQDLCAQ2KRAY/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/BCKZACN5K7KVWMBQDLCAQ2KRAY/bundle.json","status":"primary"}],"public_keys":[{"key_id":"pith-v1-2026-05","algorithm":"ed25519","format":"raw","public_key_b64":"stVStoiQhXFxp4s2pdzPNoqVNBMojDU/fJ2db5S3CbM=","public_key_hex":"b2d552b68890857171a78b36a5dccf368a953413288c353f7c9d9d6f94b709b3","fingerprint_sha256_b32_first128bits":"RVFV5Z2OI2J3ZUO7ERDEBCYNKS","fingerprint_sha256_hex":"8d4b5ee74e4693bcd1df2446408b0d54","rotates_at":null,"url":"https://pith.science/pith-signing-key.json","notes":"Pith uses this Ed25519 key to sign canonical record SHA-256 digests. Verify with: ed25519_verify(public_key, message=canonical_sha256_bytes, signature=base64decode(signature_b64))."}],"merge_version":"pith-open-graph-merge-v1","built_at":"2026-08-20T19:59:42Z","links":{"resolver":"https://pith.science/pith/BCKZACN5K7KVWMBQDLCAQ2KRAY","bundle":"https://pith.science/pith/BCKZACN5K7KVWMBQDLCAQ2KRAY/bundle.json","state":"https://pith.science/pith/BCKZACN5K7KVWMBQDLCAQ2KRAY/state.json","well_known_bundle":"https://pith.science/.well-known/pith/BCKZACN5K7KVWMBQDLCAQ2KRAY/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2021:BCKZACN5K7KVWMBQDLCAQ2KRAY","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":"67d2e2291f04a466a536e7fd84adf93fe89b1237764286048cbed01591745005","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.DC","submitted_at":"2021-11-25T03:19:55Z","title_canon_sha256":"b6585ed6843148e0a212709c845285d57406839699ca8a457f9190cdbea1856b"},"schema_version":"1.0","source":{"id":"2111.12885","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2111.12885","created_at":"2026-07-05T03:34:59Z"},{"alias_kind":"arxiv_version","alias_value":"2111.12885v1","created_at":"2026-07-05T03:34:59Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2111.12885","created_at":"2026-07-05T03:34:59Z"},{"alias_kind":"pith_short_12","alias_value":"BCKZACN5K7KV","created_at":"2026-07-05T03:34:59Z"},{"alias_kind":"pith_short_16","alias_value":"BCKZACN5K7KVWMBQ","created_at":"2026-07-05T03:34:59Z"},{"alias_kind":"pith_short_8","alias_value":"BCKZACN5","created_at":"2026-07-05T03:34:59Z"}],"graph_snapshots":[{"event_id":"sha256:7ef3820ea34a2d6fa509928a921323728d54b0946978615c8ca4cc126bbb7ec6","target":"graph","created_at":"2026-07-05T03:34:59Z","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/2111.12885/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"We propose a dense tensor accelerator called VectorMesh, a scalable, memory-efficient architecture that can support a wide variety of DNN and computer vision workloads. Its building block is a tile execution unit~(TEU), which includes dozens of processing elements~(PEs) and SRAM buffers connected through a butterfly network. A mesh of FIFOs between the TEUs facilitates data exchange between tiles and promote local data to global visibility. Our design performs better according to the roofline model for CNN, GEMM, and spatial matching algorithms compared to state-of-the-art architectures. It ca","authors_text":"Shao-Yi Chien, Wei-Chao Chen. Chia-Lin Yang, Yu-Sheng Lin","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.DC","submitted_at":"2021-11-25T03:19:55Z","title":"A Dense Tensor Accelerator with Data Exchange Mesh for DNN and Vision Workloads"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2111.12885","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":"sha256:24dd2297c636cf6b29041252265ae43e491b2d4dc7830c78c6ad95b4ee595555","target":"record","created_at":"2026-07-05T03:34:59Z","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":"67d2e2291f04a466a536e7fd84adf93fe89b1237764286048cbed01591745005","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.DC","submitted_at":"2021-11-25T03:19:55Z","title_canon_sha256":"b6585ed6843148e0a212709c845285d57406839699ca8a457f9190cdbea1856b"},"schema_version":"1.0","source":{"id":"2111.12885","kind":"arxiv","version":1}},"canonical_sha256":"08959009bd57d55b30301ac4086951063f927bc76cacb80b35497ad7f99dfcfc","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"08959009bd57d55b30301ac4086951063f927bc76cacb80b35497ad7f99dfcfc","first_computed_at":"2026-07-05T03:34:59.670177Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T03:34:59.670177Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"n3Z3VonDwPBIZAXaiUPyZOE+3m90BMa7oR0qxBUxolYVVVNwxPBrW9BL/0C+DKY+cGnkwWq4fWzf1WAG5Uv8Aw==","signature_status":"signed_v1","signed_at":"2026-07-05T03:34:59.670671Z","signed_message":"canonical_sha256_bytes"},"source_id":"2111.12885","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:24dd2297c636cf6b29041252265ae43e491b2d4dc7830c78c6ad95b4ee595555","sha256:7ef3820ea34a2d6fa509928a921323728d54b0946978615c8ca4cc126bbb7ec6"],"state_sha256":"32b4b9854523d2257653864595e205ef86ee9d50db3586ffe34e542ce9e3004d"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"gTNbAvAGW/KYg251FkyX4x03mZjl97HV/c5n7h00z3gH6p9h/6X7mF9t1XXwGkY3l+YDXViYjnsOXQS4c28eCQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-20T19:59:42.131147Z","bundle_sha256":"7fd70338f48e4ce82d031995f4abbf67a3defaaf5404e3a58cf98a53503f6ae4"}}