{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2013:5KKWRNIK72USINL4DT7G4EANXT","short_pith_number":"pith:5KKWRNIK","canonical_record":{"source":{"id":"1401.3615","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.DC","submitted_at":"2013-12-17T14:46:19Z","cross_cats_sorted":["cs.CV","cs.PF"],"title_canon_sha256":"55eabd6da0dee5048c87ef82a14718bd7c9fa80737a103f8f784b4fe089b39b1","abstract_canon_sha256":"9d1a32d769eaae9600157b0945f3bb4d3e9cec5d1d963d1aead65a28434db83d"},"schema_version":"1.0"},"canonical_sha256":"ea9568b50afea924357c1cfe6e100dbcd5a7ef6ba706dbd6d7d6854cdedfa738","source":{"kind":"arxiv","id":"1401.3615","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1401.3615","created_at":"2026-05-18T03:02:08Z"},{"alias_kind":"arxiv_version","alias_value":"1401.3615v1","created_at":"2026-05-18T03:02:08Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1401.3615","created_at":"2026-05-18T03:02:08Z"},{"alias_kind":"pith_short_12","alias_value":"5KKWRNIK72US","created_at":"2026-05-18T12:27:34Z"},{"alias_kind":"pith_short_16","alias_value":"5KKWRNIK72USINL4","created_at":"2026-05-18T12:27:34Z"},{"alias_kind":"pith_short_8","alias_value":"5KKWRNIK","created_at":"2026-05-18T12:27:34Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2013:5KKWRNIK72USINL4DT7G4EANXT","target":"record","payload":{"canonical_record":{"source":{"id":"1401.3615","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.DC","submitted_at":"2013-12-17T14:46:19Z","cross_cats_sorted":["cs.CV","cs.PF"],"title_canon_sha256":"55eabd6da0dee5048c87ef82a14718bd7c9fa80737a103f8f784b4fe089b39b1","abstract_canon_sha256":"9d1a32d769eaae9600157b0945f3bb4d3e9cec5d1d963d1aead65a28434db83d"},"schema_version":"1.0"},"canonical_sha256":"ea9568b50afea924357c1cfe6e100dbcd5a7ef6ba706dbd6d7d6854cdedfa738","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T03:02:08.219191Z","signature_b64":"sWYtL4ALMQhq5Q+jECj5rjCMMC68sA5ScGF4IGdS6Ec0WQxbY110jDMOlitR7FRAP3IvWxOp8KumSKGUWlhyDA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"ea9568b50afea924357c1cfe6e100dbcd5a7ef6ba706dbd6d7d6854cdedfa738","last_reissued_at":"2026-05-18T03:02:08.218398Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T03:02:08.218398Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1401.3615","source_version":1,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-05-18T03:02:08Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"xoljPIhuH4cPENd2Lqq0CLp3Cs4lEbtre55RAprM2dEvd4AQ7GenWw07S52Ls8vmkSp6vXp8ZnMT6vrQ8lesAQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-08T15:00:09.243878Z"},"content_sha256":"7035892c5449f7fecd6b4b501783e85ce50a562bef9cdf84a378220089a84d52","schema_version":"1.0","event_id":"sha256:7035892c5449f7fecd6b4b501783e85ce50a562bef9cdf84a378220089a84d52"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2013:5KKWRNIK72USINL4DT7G4EANXT","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Performance Engineering for a Medical Imaging Application on the Intel Xeon Phi Accelerator","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.CV","cs.PF"],"primary_cat":"cs.DC","authors_text":"Georg Hager, Gerhard Wellein, Jan Treibig, Johannes Hofmann","submitted_at":"2013-12-17T14:46:19Z","abstract_excerpt":"We examine the Xeon Phi, which is based on Intel's Many Integrated Cores architecture, for its suitability to run the FDK algorithm--the most commonly used algorithm to perform the 3D image reconstruction in cone-beam computed tomography. We study the challenges of efficiently parallelizing the application and means to enable sensible data sharing between threads despite the lack of a shared last level cache. Apart from parallelization, SIMD vectorization is critical for good performance on the Xeon Phi; we perform various micro-benchmarks to investigate the platform's new set of vector instru"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1401.3615","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"},"verdict_id":null},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-05-18T03:02:08Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"qq25C9tNZkGReafZsoS+/kaj6dylyWmGczM2jk/KqWFZuOzTZ/11LgF8o3UBX9iy067LqYWgStNX/9PMQVlECQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-08T15:00:09.244238Z"},"content_sha256":"b81742e9cf7b3f70d2f9d43536f85b1aa64a655035d06418bc2a5b33bb012a0f","schema_version":"1.0","event_id":"sha256:b81742e9cf7b3f70d2f9d43536f85b1aa64a655035d06418bc2a5b33bb012a0f"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/5KKWRNIK72USINL4DT7G4EANXT/bundle.json","state_url":"https://pith.science/pith/5KKWRNIK72USINL4DT7G4EANXT/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/5KKWRNIK72USINL4DT7G4EANXT/bundle.json","status":"primary"}],"public_keys":[{"key_id":"pith-v1-2026-05","algorithm":"ed25519","format":"raw","public_key_b64":"stVStoiQhXFxp4s2pdzPNoqVNBMojDU/fJ2db5S3CbM=","public_key_hex":"b2d552b68890857171a78b36a5dccf368a953413288c353f7c9d9d6f94b709b3","fingerprint_sha256_b32_first128bits":"RVFV5Z2OI2J3ZUO7ERDEBCYNKS","fingerprint_sha256_hex":"8d4b5ee74e4693bcd1df2446408b0d54","rotates_at":null,"url":"https://pith.science/pith-signing-key.json","notes":"Pith uses this Ed25519 key to sign canonical record SHA-256 digests. Verify with: ed25519_verify(public_key, message=canonical_sha256_bytes, signature=base64decode(signature_b64))."}],"merge_version":"pith-open-graph-merge-v1","built_at":"2026-06-08T15:00:09Z","links":{"resolver":"https://pith.science/pith/5KKWRNIK72USINL4DT7G4EANXT","bundle":"https://pith.science/pith/5KKWRNIK72USINL4DT7G4EANXT/bundle.json","state":"https://pith.science/pith/5KKWRNIK72USINL4DT7G4EANXT/state.json","well_known_bundle":"https://pith.science/.well-known/pith/5KKWRNIK72USINL4DT7G4EANXT/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2013:5KKWRNIK72USINL4DT7G4EANXT","merge_version":"pith-open-graph-merge-v1","event_count":2,"valid_event_count":2,"invalid_event_count":0,"equivocation_count":0,"current":{"canonical_record":{"metadata":{"abstract_canon_sha256":"9d1a32d769eaae9600157b0945f3bb4d3e9cec5d1d963d1aead65a28434db83d","cross_cats_sorted":["cs.CV","cs.PF"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.DC","submitted_at":"2013-12-17T14:46:19Z","title_canon_sha256":"55eabd6da0dee5048c87ef82a14718bd7c9fa80737a103f8f784b4fe089b39b1"},"schema_version":"1.0","source":{"id":"1401.3615","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1401.3615","created_at":"2026-05-18T03:02:08Z"},{"alias_kind":"arxiv_version","alias_value":"1401.3615v1","created_at":"2026-05-18T03:02:08Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1401.3615","created_at":"2026-05-18T03:02:08Z"},{"alias_kind":"pith_short_12","alias_value":"5KKWRNIK72US","created_at":"2026-05-18T12:27:34Z"},{"alias_kind":"pith_short_16","alias_value":"5KKWRNIK72USINL4","created_at":"2026-05-18T12:27:34Z"},{"alias_kind":"pith_short_8","alias_value":"5KKWRNIK","created_at":"2026-05-18T12:27:34Z"}],"graph_snapshots":[{"event_id":"sha256:b81742e9cf7b3f70d2f9d43536f85b1aa64a655035d06418bc2a5b33bb012a0f","target":"graph","created_at":"2026-05-18T03:02:08Z","signer":{"key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signer_id":"pith.science","signer_type":"pith_registry"},"payload":{"graph_snapshot":{"author_claims":{"count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","strong_count":0},"builder_version":"pith-number-builder-2026-05-17-v1","claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"paper":{"abstract_excerpt":"We examine the Xeon Phi, which is based on Intel's Many Integrated Cores architecture, for its suitability to run the FDK algorithm--the most commonly used algorithm to perform the 3D image reconstruction in cone-beam computed tomography. We study the challenges of efficiently parallelizing the application and means to enable sensible data sharing between threads despite the lack of a shared last level cache. Apart from parallelization, SIMD vectorization is critical for good performance on the Xeon Phi; we perform various micro-benchmarks to investigate the platform's new set of vector instru","authors_text":"Georg Hager, Gerhard Wellein, Jan Treibig, Johannes Hofmann","cross_cats":["cs.CV","cs.PF"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.DC","submitted_at":"2013-12-17T14:46:19Z","title":"Performance Engineering for a Medical Imaging Application on the Intel Xeon Phi Accelerator"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1401.3615","kind":"arxiv","version":1},"verdict":{"created_at":null,"id":null,"model_set":{},"one_line_summary":"","pipeline_version":null,"pith_extraction_headline":"","strongest_claim":"","weakest_assumption":""}},"verdict_id":null}}],"author_attestations":[],"timestamp_anchors":[],"storage_attestations":[],"citation_signatures":[],"replication_records":[],"corrections":[],"mirror_hints":[],"record_created":{"event_id":"sha256:7035892c5449f7fecd6b4b501783e85ce50a562bef9cdf84a378220089a84d52","target":"record","created_at":"2026-05-18T03:02:08Z","signer":{"key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signer_id":"pith.science","signer_type":"pith_registry"},"payload":{"attestation_state":"computed","canonical_record":{"metadata":{"abstract_canon_sha256":"9d1a32d769eaae9600157b0945f3bb4d3e9cec5d1d963d1aead65a28434db83d","cross_cats_sorted":["cs.CV","cs.PF"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.DC","submitted_at":"2013-12-17T14:46:19Z","title_canon_sha256":"55eabd6da0dee5048c87ef82a14718bd7c9fa80737a103f8f784b4fe089b39b1"},"schema_version":"1.0","source":{"id":"1401.3615","kind":"arxiv","version":1}},"canonical_sha256":"ea9568b50afea924357c1cfe6e100dbcd5a7ef6ba706dbd6d7d6854cdedfa738","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"ea9568b50afea924357c1cfe6e100dbcd5a7ef6ba706dbd6d7d6854cdedfa738","first_computed_at":"2026-05-18T03:02:08.218398Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T03:02:08.218398Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"sWYtL4ALMQhq5Q+jECj5rjCMMC68sA5ScGF4IGdS6Ec0WQxbY110jDMOlitR7FRAP3IvWxOp8KumSKGUWlhyDA==","signature_status":"signed_v1","signed_at":"2026-05-18T03:02:08.219191Z","signed_message":"canonical_sha256_bytes"},"source_id":"1401.3615","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:7035892c5449f7fecd6b4b501783e85ce50a562bef9cdf84a378220089a84d52","sha256:b81742e9cf7b3f70d2f9d43536f85b1aa64a655035d06418bc2a5b33bb012a0f"],"state_sha256":"c3c14ac8767a5f939f459da9bade9662b18834db4d889c89c148fc1f0ba4bdb5"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"IG4vKalU2esZVZgkAIGF4PpFTHWldzsr65gg0TqHqi5zQhv5x8BiQo2onE/ZjaKZvuyjMN7vZIeo/UYUpHRCDA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-06-08T15:00:09.246107Z","bundle_sha256":"1b7fe61cfa4a2fcfaa493c3a24ec054699e32912dc5f81ff7f8e933b61ec7d9d"}}