{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2016:H4ML3IYRRDOKYCGRAQ7GZH4O56","short_pith_number":"pith:H4ML3IYR","schema_version":"1.0","canonical_sha256":"3f18bda31188dcac08d1043e6c9f8eef9b688ca79c520fda638e7ee29f8e970f","source":{"kind":"arxiv","id":"1606.04830","version":1},"attestation_state":"computed","paper":{"title":"Bind: a Partitioned Global Workflow Parallel Programming Model","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.DC","authors_text":"Alex Kosenkov, Matthias Troyer","submitted_at":"2016-06-15T16:00:59Z","abstract_excerpt":"High Performance Computing is notorious for its long and expensive software development cycle. To address this challenge, we present Bind: a \"partitioned global workflow\" parallel programming model for C++ applications that enables quick prototyping and agile development cycles for high performance computing software targeting heterogeneous distributed many-core architectures. We present applications of Bind to Linear Algebra and MapReduce algorithms alongside with performance results."},"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":"1606.04830","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.DC","submitted_at":"2016-06-15T16:00:59Z","cross_cats_sorted":[],"title_canon_sha256":"aa80fcdff936927fb458a2cb4902a64461989fda87a16a0c0b9e034f799e3842","abstract_canon_sha256":"064ee69214eaa674c2843e91e4e3ece76c8d22afcc106adef6ead7107ecb916a"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T01:12:23.290100Z","signature_b64":"hufSEvrWeowIjKSDtu49r6s/RLDNQEqRwUEWW3iWYWhopZ3hD6Sd7narCL+ev0sgIVwuFS6RT3+E3tvSLSy+AQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"3f18bda31188dcac08d1043e6c9f8eef9b688ca79c520fda638e7ee29f8e970f","last_reissued_at":"2026-05-18T01:12:23.289749Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T01:12:23.289749Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Bind: a Partitioned Global Workflow Parallel Programming Model","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.DC","authors_text":"Alex Kosenkov, Matthias Troyer","submitted_at":"2016-06-15T16:00:59Z","abstract_excerpt":"High Performance Computing is notorious for its long and expensive software development cycle. To address this challenge, we present Bind: a \"partitioned global workflow\" parallel programming model for C++ applications that enables quick prototyping and agile development cycles for high performance computing software targeting heterogeneous distributed many-core architectures. We present applications of Bind to Linear Algebra and MapReduce algorithms alongside with performance results."},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1606.04830","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":"1606.04830","created_at":"2026-05-18T01:12:23.289805+00:00"},{"alias_kind":"arxiv_version","alias_value":"1606.04830v1","created_at":"2026-05-18T01:12:23.289805+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1606.04830","created_at":"2026-05-18T01:12:23.289805+00:00"},{"alias_kind":"pith_short_12","alias_value":"H4ML3IYRRDOK","created_at":"2026-05-18T12:30:19.053100+00:00"},{"alias_kind":"pith_short_16","alias_value":"H4ML3IYRRDOKYCGR","created_at":"2026-05-18T12:30:19.053100+00:00"},{"alias_kind":"pith_short_8","alias_value":"H4ML3IYR","created_at":"2026-05-18T12:30:19.053100+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/H4ML3IYRRDOKYCGRAQ7GZH4O56","json":"https://pith.science/pith/H4ML3IYRRDOKYCGRAQ7GZH4O56.json","graph_json":"https://pith.science/api/pith-number/H4ML3IYRRDOKYCGRAQ7GZH4O56/graph.json","events_json":"https://pith.science/api/pith-number/H4ML3IYRRDOKYCGRAQ7GZH4O56/events.json","paper":"https://pith.science/paper/H4ML3IYR"},"agent_actions":{"view_html":"https://pith.science/pith/H4ML3IYRRDOKYCGRAQ7GZH4O56","download_json":"https://pith.science/pith/H4ML3IYRRDOKYCGRAQ7GZH4O56.json","view_paper":"https://pith.science/paper/H4ML3IYR","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=1606.04830&json=true","fetch_graph":"https://pith.science/api/pith-number/H4ML3IYRRDOKYCGRAQ7GZH4O56/graph.json","fetch_events":"https://pith.science/api/pith-number/H4ML3IYRRDOKYCGRAQ7GZH4O56/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/H4ML3IYRRDOKYCGRAQ7GZH4O56/action/timestamp_anchor","attest_storage":"https://pith.science/pith/H4ML3IYRRDOKYCGRAQ7GZH4O56/action/storage_attestation","attest_author":"https://pith.science/pith/H4ML3IYRRDOKYCGRAQ7GZH4O56/action/author_attestation","sign_citation":"https://pith.science/pith/H4ML3IYRRDOKYCGRAQ7GZH4O56/action/citation_signature","submit_replication":"https://pith.science/pith/H4ML3IYRRDOKYCGRAQ7GZH4O56/action/replication_record"}},"created_at":"2026-05-18T01:12:23.289805+00:00","updated_at":"2026-05-18T01:12:23.289805+00:00"}