{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2014:XBSXOFL4GULS3WRWGKNYLDUM3R","short_pith_number":"pith:XBSXOFL4","schema_version":"1.0","canonical_sha256":"b86577157c35172dda36329b858e8cdc612c51f3ea90fb7eef3a58fd8a7c0c93","source":{"kind":"arxiv","id":"1411.3656","version":1},"attestation_state":"computed","paper":{"title":"The Implementation of a Real-Time Polyphase Filter","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.PF"],"primary_cat":"cs.DC","authors_text":"Jan Novotn\\'y, Karel Ad\\'amek, Wes Armour","submitted_at":"2014-11-12T18:33:21Z","abstract_excerpt":"In this article we study the suitability of dierent computational accelerators for the task of real-time data processing. The algorithm used for comparison is the polyphase filter, a standard tool in signal processing and a well established algorithm. We measure performance in FLOPs and execution time, which is a critical factor for real-time systems. For our real-time studies we have chosen a data rate of 6.5GB/s, which is the estimated data rate for a single channel on the SKAs Low Frequency Aperture Array. Our findings how that GPUs are the most likely candidate for real-time data processin"},"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":"1411.3656","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.DC","submitted_at":"2014-11-12T18:33:21Z","cross_cats_sorted":["cs.PF"],"title_canon_sha256":"a7e58ecd8b9dfc9860e11a4eece547df014b2ef196a8031f222c4fa80c06c509","abstract_canon_sha256":"a6cca5055b211a6ee6d89c4890f07ecd087eea1f4be9c8c2f2571edf27c1be04"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T02:37:43.223939Z","signature_b64":"xpuJ5BAiR918lde2Sy+hMNKGcHk4QvK2GeyN0vhfblvykS16jYWVq+cm/3q5IbpF1uvE3HiWd9opbdbzvFejDA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"b86577157c35172dda36329b858e8cdc612c51f3ea90fb7eef3a58fd8a7c0c93","last_reissued_at":"2026-05-18T02:37:43.223584Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T02:37:43.223584Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"The Implementation of a Real-Time Polyphase Filter","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.PF"],"primary_cat":"cs.DC","authors_text":"Jan Novotn\\'y, Karel Ad\\'amek, Wes Armour","submitted_at":"2014-11-12T18:33:21Z","abstract_excerpt":"In this article we study the suitability of dierent computational accelerators for the task of real-time data processing. The algorithm used for comparison is the polyphase filter, a standard tool in signal processing and a well established algorithm. We measure performance in FLOPs and execution time, which is a critical factor for real-time systems. For our real-time studies we have chosen a data rate of 6.5GB/s, which is the estimated data rate for a single channel on the SKAs Low Frequency Aperture Array. Our findings how that GPUs are the most likely candidate for real-time data processin"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1411.3656","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":"1411.3656","created_at":"2026-05-18T02:37:43.223640+00:00"},{"alias_kind":"arxiv_version","alias_value":"1411.3656v1","created_at":"2026-05-18T02:37:43.223640+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1411.3656","created_at":"2026-05-18T02:37:43.223640+00:00"},{"alias_kind":"pith_short_12","alias_value":"XBSXOFL4GULS","created_at":"2026-05-18T12:28:57.508820+00:00"},{"alias_kind":"pith_short_16","alias_value":"XBSXOFL4GULS3WRW","created_at":"2026-05-18T12:28:57.508820+00:00"},{"alias_kind":"pith_short_8","alias_value":"XBSXOFL4","created_at":"2026-05-18T12:28:57.508820+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/XBSXOFL4GULS3WRWGKNYLDUM3R","json":"https://pith.science/pith/XBSXOFL4GULS3WRWGKNYLDUM3R.json","graph_json":"https://pith.science/api/pith-number/XBSXOFL4GULS3WRWGKNYLDUM3R/graph.json","events_json":"https://pith.science/api/pith-number/XBSXOFL4GULS3WRWGKNYLDUM3R/events.json","paper":"https://pith.science/paper/XBSXOFL4"},"agent_actions":{"view_html":"https://pith.science/pith/XBSXOFL4GULS3WRWGKNYLDUM3R","download_json":"https://pith.science/pith/XBSXOFL4GULS3WRWGKNYLDUM3R.json","view_paper":"https://pith.science/paper/XBSXOFL4","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=1411.3656&json=true","fetch_graph":"https://pith.science/api/pith-number/XBSXOFL4GULS3WRWGKNYLDUM3R/graph.json","fetch_events":"https://pith.science/api/pith-number/XBSXOFL4GULS3WRWGKNYLDUM3R/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/XBSXOFL4GULS3WRWGKNYLDUM3R/action/timestamp_anchor","attest_storage":"https://pith.science/pith/XBSXOFL4GULS3WRWGKNYLDUM3R/action/storage_attestation","attest_author":"https://pith.science/pith/XBSXOFL4GULS3WRWGKNYLDUM3R/action/author_attestation","sign_citation":"https://pith.science/pith/XBSXOFL4GULS3WRWGKNYLDUM3R/action/citation_signature","submit_replication":"https://pith.science/pith/XBSXOFL4GULS3WRWGKNYLDUM3R/action/replication_record"}},"created_at":"2026-05-18T02:37:43.223640+00:00","updated_at":"2026-05-18T02:37:43.223640+00:00"}