{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2018:QWBRS5MRENL7SLHXDU4WI23EGK","short_pith_number":"pith:QWBRS5MR","schema_version":"1.0","canonical_sha256":"85831975912357f92cf71d39646b6432924e638ef0f312ba072d6810c1506823","source":{"kind":"arxiv","id":"1809.07444","version":2},"attestation_state":"computed","paper":{"title":"DynaSOAr: Accelerating Single-Method Multiple-Objects Applications on GPUs","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.DC"],"primary_cat":"cs.PL","authors_text":"Matthias Springer","submitted_at":"2018-09-20T01:39:05Z","abstract_excerpt":"Object-oriented programming (OOP) has long been regarded as too inefficient for SIMD high-performance computing, despite the fact that many important HPC applications have an inherent object structure. We discovered a broad subset of OOP that can be implemented efficiently on massively parallel SIMD accelerators. We call it Single-Method Multiple-Objects (SMMO), because parallelism is expressed by running a method on all objects of a type.\n  To make fast GPU programming available to domain experts who are less experienced in GPU programming, we developed DynaSOAr, a CUDA framework for SMMO app"},"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":"1809.07444","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.PL","submitted_at":"2018-09-20T01:39:05Z","cross_cats_sorted":["cs.DC"],"title_canon_sha256":"b809e504b674703ba22f0c8e6ad1003ea78a998e6fab8efa22ed4dd13a717d96","abstract_canon_sha256":"e51d2f8a45a62afae4a98d98c73ce1b00d92d4de0b5dbd3c8ae68dd94aafe51c"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-17T23:44:48.055533Z","signature_b64":"JNfDXvKsTt3iIV6UBUlmqmacyfHWn0xKeBVIx2OYd38AlN2MgQBEVMelGGEH8ZbjYHNwbyHYQzFvoGf65TXnAw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"85831975912357f92cf71d39646b6432924e638ef0f312ba072d6810c1506823","last_reissued_at":"2026-05-17T23:44:48.054764Z","signature_status":"signed_v1","first_computed_at":"2026-05-17T23:44:48.054764Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"DynaSOAr: Accelerating Single-Method Multiple-Objects Applications on GPUs","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.DC"],"primary_cat":"cs.PL","authors_text":"Matthias Springer","submitted_at":"2018-09-20T01:39:05Z","abstract_excerpt":"Object-oriented programming (OOP) has long been regarded as too inefficient for SIMD high-performance computing, despite the fact that many important HPC applications have an inherent object structure. We discovered a broad subset of OOP that can be implemented efficiently on massively parallel SIMD accelerators. We call it Single-Method Multiple-Objects (SMMO), because parallelism is expressed by running a method on all objects of a type.\n  To make fast GPU programming available to domain experts who are less experienced in GPU programming, we developed DynaSOAr, a CUDA framework for SMMO app"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1809.07444","kind":"arxiv","version":2},"verdict":{"id":null,"model_set":{},"created_at":null,"strongest_claim":"","one_line_summary":"","pipeline_version":null,"weakest_assumption":"","pith_extraction_headline":""},"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":"1809.07444","created_at":"2026-05-17T23:44:48.054869+00:00"},{"alias_kind":"arxiv_version","alias_value":"1809.07444v2","created_at":"2026-05-17T23:44:48.054869+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1809.07444","created_at":"2026-05-17T23:44:48.054869+00:00"},{"alias_kind":"pith_short_12","alias_value":"QWBRS5MRENL7","created_at":"2026-05-18T12:32:50.500415+00:00"},{"alias_kind":"pith_short_16","alias_value":"QWBRS5MRENL7SLHX","created_at":"2026-05-18T12:32:50.500415+00:00"},{"alias_kind":"pith_short_8","alias_value":"QWBRS5MR","created_at":"2026-05-18T12:32:50.500415+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/QWBRS5MRENL7SLHXDU4WI23EGK","json":"https://pith.science/pith/QWBRS5MRENL7SLHXDU4WI23EGK.json","graph_json":"https://pith.science/api/pith-number/QWBRS5MRENL7SLHXDU4WI23EGK/graph.json","events_json":"https://pith.science/api/pith-number/QWBRS5MRENL7SLHXDU4WI23EGK/events.json","paper":"https://pith.science/paper/QWBRS5MR"},"agent_actions":{"view_html":"https://pith.science/pith/QWBRS5MRENL7SLHXDU4WI23EGK","download_json":"https://pith.science/pith/QWBRS5MRENL7SLHXDU4WI23EGK.json","view_paper":"https://pith.science/paper/QWBRS5MR","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=1809.07444&json=true","fetch_graph":"https://pith.science/api/pith-number/QWBRS5MRENL7SLHXDU4WI23EGK/graph.json","fetch_events":"https://pith.science/api/pith-number/QWBRS5MRENL7SLHXDU4WI23EGK/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/QWBRS5MRENL7SLHXDU4WI23EGK/action/timestamp_anchor","attest_storage":"https://pith.science/pith/QWBRS5MRENL7SLHXDU4WI23EGK/action/storage_attestation","attest_author":"https://pith.science/pith/QWBRS5MRENL7SLHXDU4WI23EGK/action/author_attestation","sign_citation":"https://pith.science/pith/QWBRS5MRENL7SLHXDU4WI23EGK/action/citation_signature","submit_replication":"https://pith.science/pith/QWBRS5MRENL7SLHXDU4WI23EGK/action/replication_record"}},"created_at":"2026-05-17T23:44:48.054869+00:00","updated_at":"2026-05-17T23:44:48.054869+00:00"}