{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2013:RNDU6FX567XBPM3T66A4S5TMHI","short_pith_number":"pith:RNDU6FX5","schema_version":"1.0","canonical_sha256":"8b474f16fdf7ee17b373f781c9766c3a3e1d206260152a0e1c25e07290d43d95","source":{"kind":"arxiv","id":"1310.2814","version":1},"attestation_state":"computed","paper":{"title":"IMSuite: A Benchmark Suite for Simulating Distributed Algorithms","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.DC","authors_text":"Suyash Gupta, V. Krishna Nandivada","submitted_at":"2013-10-10T13:40:51Z","abstract_excerpt":"Considering the diverse nature of real-world distributed applications that makes it hard to identify a representative subset of distributed benchmarks, we focus on their underlying distributed algorithms. We present and characterize a new kernel benchmark suite (named IMSuite) that simulates some of the classical distributed algorithms in task parallel languages. We present multiple variations of our kernels, broadly categorized under two heads: (a) varying synchronization primitives (with and without fine grain synchronization primitives); and (b) varying forms of parallelization (data parall"},"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":"1310.2814","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.DC","submitted_at":"2013-10-10T13:40:51Z","cross_cats_sorted":[],"title_canon_sha256":"05361bbbbe7f5b98c31216be98901d7fabb7d96c1c10bf2e10cc537374169882","abstract_canon_sha256":"07807ef593011663782bc0077e8a3e9b48b6446a8ea8ae4ff10b9db94ce84558"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T03:10:46.618806Z","signature_b64":"VT1j2ScFxb6eIjTe70RmTKJ+kdhktt1V/YgWuPFYvfS/cNY9XKQb0QyB5gPhAlkF3ZqTWHYLOh1dDvStRK3UAw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"8b474f16fdf7ee17b373f781c9766c3a3e1d206260152a0e1c25e07290d43d95","last_reissued_at":"2026-05-18T03:10:46.618030Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T03:10:46.618030Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"IMSuite: A Benchmark Suite for Simulating Distributed Algorithms","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.DC","authors_text":"Suyash Gupta, V. Krishna Nandivada","submitted_at":"2013-10-10T13:40:51Z","abstract_excerpt":"Considering the diverse nature of real-world distributed applications that makes it hard to identify a representative subset of distributed benchmarks, we focus on their underlying distributed algorithms. We present and characterize a new kernel benchmark suite (named IMSuite) that simulates some of the classical distributed algorithms in task parallel languages. We present multiple variations of our kernels, broadly categorized under two heads: (a) varying synchronization primitives (with and without fine grain synchronization primitives); and (b) varying forms of parallelization (data parall"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1310.2814","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":"1310.2814","created_at":"2026-05-18T03:10:46.618163+00:00"},{"alias_kind":"arxiv_version","alias_value":"1310.2814v1","created_at":"2026-05-18T03:10:46.618163+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1310.2814","created_at":"2026-05-18T03:10:46.618163+00:00"},{"alias_kind":"pith_short_12","alias_value":"RNDU6FX567XB","created_at":"2026-05-18T12:27:59.945178+00:00"},{"alias_kind":"pith_short_16","alias_value":"RNDU6FX567XBPM3T","created_at":"2026-05-18T12:27:59.945178+00:00"},{"alias_kind":"pith_short_8","alias_value":"RNDU6FX5","created_at":"2026-05-18T12:27:59.945178+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/RNDU6FX567XBPM3T66A4S5TMHI","json":"https://pith.science/pith/RNDU6FX567XBPM3T66A4S5TMHI.json","graph_json":"https://pith.science/api/pith-number/RNDU6FX567XBPM3T66A4S5TMHI/graph.json","events_json":"https://pith.science/api/pith-number/RNDU6FX567XBPM3T66A4S5TMHI/events.json","paper":"https://pith.science/paper/RNDU6FX5"},"agent_actions":{"view_html":"https://pith.science/pith/RNDU6FX567XBPM3T66A4S5TMHI","download_json":"https://pith.science/pith/RNDU6FX567XBPM3T66A4S5TMHI.json","view_paper":"https://pith.science/paper/RNDU6FX5","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=1310.2814&json=true","fetch_graph":"https://pith.science/api/pith-number/RNDU6FX567XBPM3T66A4S5TMHI/graph.json","fetch_events":"https://pith.science/api/pith-number/RNDU6FX567XBPM3T66A4S5TMHI/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/RNDU6FX567XBPM3T66A4S5TMHI/action/timestamp_anchor","attest_storage":"https://pith.science/pith/RNDU6FX567XBPM3T66A4S5TMHI/action/storage_attestation","attest_author":"https://pith.science/pith/RNDU6FX567XBPM3T66A4S5TMHI/action/author_attestation","sign_citation":"https://pith.science/pith/RNDU6FX567XBPM3T66A4S5TMHI/action/citation_signature","submit_replication":"https://pith.science/pith/RNDU6FX567XBPM3T66A4S5TMHI/action/replication_record"}},"created_at":"2026-05-18T03:10:46.618163+00:00","updated_at":"2026-05-18T03:10:46.618163+00:00"}