{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2021:J3LWOJ6MOBP3DMTQ42Q3V3EYUA","short_pith_number":"pith:J3LWOJ6M","schema_version":"1.0","canonical_sha256":"4ed76727cc705fb1b270e6a1baec98a023c1c7b91662ba54117febb1bde0c036","source":{"kind":"arxiv","id":"2109.05410","version":1},"attestation_state":"computed","paper":{"title":"Accelerating GPU-Based Out-of-Core Stencil Computation with On-the-Fly Compression","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.DC","authors_text":"Fumihiko Ino, Jingcheng Shen, Masao Okita, Yifan Wu","submitted_at":"2021-09-12T02:57:27Z","abstract_excerpt":"Stencil computation is an important class of scientific applications that can be efficiently executed by graphics processing units (GPUs). Out-of-core approach helps run large scale stencil codes that process data with sizes larger than the limited capacity of GPU memory. However, the performance of the GPU-based out-of-core stencil computation is always limited by the data transfer between the CPU and GPU. Many optimizations have been explored to reduce such data transfer, but the study on the use of on-the-fly compression techniques is far from sufficient. In this study, we propose a method "},"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":"2109.05410","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.DC","submitted_at":"2021-09-12T02:57:27Z","cross_cats_sorted":[],"title_canon_sha256":"0a64167cb3d944eb59515be8fc3a59924dc817cde92db0282779789b858b8972","abstract_canon_sha256":"0894c4bac73fa598f7bb9487f9ab40db4acbcca5fefc050a2bc51c2768b5e7f7"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T03:13:38.656171Z","signature_b64":"Qbxo7t5BP5u5UFCRXn59TBb0YTbSWxbfi/edsqut3mLRkl+HKV9RmXl1FxLqud/sMgX/pPDQXiBCIxj77C/MBw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"4ed76727cc705fb1b270e6a1baec98a023c1c7b91662ba54117febb1bde0c036","last_reissued_at":"2026-07-05T03:13:38.655765Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T03:13:38.655765Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Accelerating GPU-Based Out-of-Core Stencil Computation with On-the-Fly Compression","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.DC","authors_text":"Fumihiko Ino, Jingcheng Shen, Masao Okita, Yifan Wu","submitted_at":"2021-09-12T02:57:27Z","abstract_excerpt":"Stencil computation is an important class of scientific applications that can be efficiently executed by graphics processing units (GPUs). Out-of-core approach helps run large scale stencil codes that process data with sizes larger than the limited capacity of GPU memory. However, the performance of the GPU-based out-of-core stencil computation is always limited by the data transfer between the CPU and GPU. Many optimizations have been explored to reduce such data transfer, but the study on the use of on-the-fly compression techniques is far from sufficient. In this study, we propose a method "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2109.05410","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/2109.05410/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":"2109.05410","created_at":"2026-07-05T03:13:38.655823+00:00"},{"alias_kind":"arxiv_version","alias_value":"2109.05410v1","created_at":"2026-07-05T03:13:38.655823+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2109.05410","created_at":"2026-07-05T03:13:38.655823+00:00"},{"alias_kind":"pith_short_12","alias_value":"J3LWOJ6MOBP3","created_at":"2026-07-05T03:13:38.655823+00:00"},{"alias_kind":"pith_short_16","alias_value":"J3LWOJ6MOBP3DMTQ","created_at":"2026-07-05T03:13:38.655823+00:00"},{"alias_kind":"pith_short_8","alias_value":"J3LWOJ6M","created_at":"2026-07-05T03:13:38.655823+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/J3LWOJ6MOBP3DMTQ42Q3V3EYUA","json":"https://pith.science/pith/J3LWOJ6MOBP3DMTQ42Q3V3EYUA.json","graph_json":"https://pith.science/api/pith-number/J3LWOJ6MOBP3DMTQ42Q3V3EYUA/graph.json","events_json":"https://pith.science/api/pith-number/J3LWOJ6MOBP3DMTQ42Q3V3EYUA/events.json","paper":"https://pith.science/paper/J3LWOJ6M"},"agent_actions":{"view_html":"https://pith.science/pith/J3LWOJ6MOBP3DMTQ42Q3V3EYUA","download_json":"https://pith.science/pith/J3LWOJ6MOBP3DMTQ42Q3V3EYUA.json","view_paper":"https://pith.science/paper/J3LWOJ6M","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2109.05410&json=true","fetch_graph":"https://pith.science/api/pith-number/J3LWOJ6MOBP3DMTQ42Q3V3EYUA/graph.json","fetch_events":"https://pith.science/api/pith-number/J3LWOJ6MOBP3DMTQ42Q3V3EYUA/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/J3LWOJ6MOBP3DMTQ42Q3V3EYUA/action/timestamp_anchor","attest_storage":"https://pith.science/pith/J3LWOJ6MOBP3DMTQ42Q3V3EYUA/action/storage_attestation","attest_author":"https://pith.science/pith/J3LWOJ6MOBP3DMTQ42Q3V3EYUA/action/author_attestation","sign_citation":"https://pith.science/pith/J3LWOJ6MOBP3DMTQ42Q3V3EYUA/action/citation_signature","submit_replication":"https://pith.science/pith/J3LWOJ6MOBP3DMTQ42Q3V3EYUA/action/replication_record"}},"created_at":"2026-07-05T03:13:38.655823+00:00","updated_at":"2026-07-05T03:13:38.655823+00:00"}