{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2013:HXRXKZGJ5IAOZB3ITUXW7LXG3I","short_pith_number":"pith:HXRXKZGJ","schema_version":"1.0","canonical_sha256":"3de37564c9ea00ec87689d2f6faee6da297032a4a33e072540d49d5236891d7e","source":{"kind":"arxiv","id":"1310.1485","version":1},"attestation_state":"computed","paper":{"title":"Porting Large HPC Applications to GPU Clusters: The Codes GENE and VERTEX","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["astro-ph.SR","cs.DC","physics.plasm-ph"],"primary_cat":"physics.comp-ph","authors_text":"Andreas Marek, Markus Rampp, Tilman Dannert","submitted_at":"2013-10-05T15:12:58Z","abstract_excerpt":"We have developed GPU versions for two major high-performance-computing (HPC) applications originating from two different scientific domains. GENE is a plasma microturbulence code which is employed for simulations of nuclear fusion plasmas. VERTEX is a neutrino-radiation hydrodynamics code for \"first principles\"-simulations of core-collapse supernova explosions. The codes are considered state of the art in their respective scientific domains, both concerning their scientific scope and functionality as well as the achievable compute performance, in particular parallel scalability on all relevan"},"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":"1310.1485","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"physics.comp-ph","submitted_at":"2013-10-05T15:12:58Z","cross_cats_sorted":["astro-ph.SR","cs.DC","physics.plasm-ph"],"title_canon_sha256":"3dc6a069ce675968c92deb1ca2f78dea6d1c752677a0f1ec684e45c4657a9175","abstract_canon_sha256":"cdf1b7a3bb55fca607c19a6457c31363c542a352f5441af0f8d83fbd8ed374b3"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T03:11:11.835043Z","signature_b64":"6i3DVYMgQRq4xDRxGnxNrqpWXQ++pxgThkwYr99AJ6fkiBFZqoO2seNnqPeua/f4v43T2svBsix6xJ1rOfMgDw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"3de37564c9ea00ec87689d2f6faee6da297032a4a33e072540d49d5236891d7e","last_reissued_at":"2026-05-18T03:11:11.834213Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T03:11:11.834213Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Porting Large HPC Applications to GPU Clusters: The Codes GENE and VERTEX","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["astro-ph.SR","cs.DC","physics.plasm-ph"],"primary_cat":"physics.comp-ph","authors_text":"Andreas Marek, Markus Rampp, Tilman Dannert","submitted_at":"2013-10-05T15:12:58Z","abstract_excerpt":"We have developed GPU versions for two major high-performance-computing (HPC) applications originating from two different scientific domains. GENE is a plasma microturbulence code which is employed for simulations of nuclear fusion plasmas. VERTEX is a neutrino-radiation hydrodynamics code for \"first principles\"-simulations of core-collapse supernova explosions. The codes are considered state of the art in their respective scientific domains, both concerning their scientific scope and functionality as well as the achievable compute performance, in particular parallel scalability on all relevan"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1310.1485","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":""},"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":"1310.1485","created_at":"2026-05-18T03:11:11.834355+00:00"},{"alias_kind":"arxiv_version","alias_value":"1310.1485v1","created_at":"2026-05-18T03:11:11.834355+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1310.1485","created_at":"2026-05-18T03:11:11.834355+00:00"},{"alias_kind":"pith_short_12","alias_value":"HXRXKZGJ5IAO","created_at":"2026-05-18T12:27:46.883200+00:00"},{"alias_kind":"pith_short_16","alias_value":"HXRXKZGJ5IAOZB3I","created_at":"2026-05-18T12:27:46.883200+00:00"},{"alias_kind":"pith_short_8","alias_value":"HXRXKZGJ","created_at":"2026-05-18T12:27:46.883200+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/HXRXKZGJ5IAOZB3ITUXW7LXG3I","json":"https://pith.science/pith/HXRXKZGJ5IAOZB3ITUXW7LXG3I.json","graph_json":"https://pith.science/api/pith-number/HXRXKZGJ5IAOZB3ITUXW7LXG3I/graph.json","events_json":"https://pith.science/api/pith-number/HXRXKZGJ5IAOZB3ITUXW7LXG3I/events.json","paper":"https://pith.science/paper/HXRXKZGJ"},"agent_actions":{"view_html":"https://pith.science/pith/HXRXKZGJ5IAOZB3ITUXW7LXG3I","download_json":"https://pith.science/pith/HXRXKZGJ5IAOZB3ITUXW7LXG3I.json","view_paper":"https://pith.science/paper/HXRXKZGJ","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=1310.1485&json=true","fetch_graph":"https://pith.science/api/pith-number/HXRXKZGJ5IAOZB3ITUXW7LXG3I/graph.json","fetch_events":"https://pith.science/api/pith-number/HXRXKZGJ5IAOZB3ITUXW7LXG3I/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/HXRXKZGJ5IAOZB3ITUXW7LXG3I/action/timestamp_anchor","attest_storage":"https://pith.science/pith/HXRXKZGJ5IAOZB3ITUXW7LXG3I/action/storage_attestation","attest_author":"https://pith.science/pith/HXRXKZGJ5IAOZB3ITUXW7LXG3I/action/author_attestation","sign_citation":"https://pith.science/pith/HXRXKZGJ5IAOZB3ITUXW7LXG3I/action/citation_signature","submit_replication":"https://pith.science/pith/HXRXKZGJ5IAOZB3ITUXW7LXG3I/action/replication_record"}},"created_at":"2026-05-18T03:11:11.834355+00:00","updated_at":"2026-05-18T03:11:11.834355+00:00"}