{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2018:GY7QIDWRMRNPLRIM6TRCFLUAEH","short_pith_number":"pith:GY7QIDWR","canonical_record":{"source":{"id":"1810.03940","kind":"arxiv","version":4},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.MS","submitted_at":"2018-10-09T12:37:46Z","cross_cats_sorted":[],"title_canon_sha256":"a26fe9b9363ce699c8677e540013a2fee2919d6d946b4a02cec7271a88649185","abstract_canon_sha256":"7a84afb1b95c98c2eb1ab326b84290a06fdbfccade494943e57dbcfc5c17cd13"},"schema_version":"1.0"},"canonical_sha256":"363f040ed1645af5c50cf4e222ae8021e5309bd1255dc43a885748f589905fc9","source":{"kind":"arxiv","id":"1810.03940","version":4},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1810.03940","created_at":"2026-05-17T23:43:17Z"},{"alias_kind":"arxiv_version","alias_value":"1810.03940v4","created_at":"2026-05-17T23:43:17Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1810.03940","created_at":"2026-05-17T23:43:17Z"},{"alias_kind":"pith_short_12","alias_value":"GY7QIDWRMRNP","created_at":"2026-05-18T12:32:25Z"},{"alias_kind":"pith_short_16","alias_value":"GY7QIDWRMRNPLRIM","created_at":"2026-05-18T12:32:25Z"},{"alias_kind":"pith_short_8","alias_value":"GY7QIDWR","created_at":"2026-05-18T12:32:25Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2018:GY7QIDWRMRNPLRIM6TRCFLUAEH","target":"record","payload":{"canonical_record":{"source":{"id":"1810.03940","kind":"arxiv","version":4},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.MS","submitted_at":"2018-10-09T12:37:46Z","cross_cats_sorted":[],"title_canon_sha256":"a26fe9b9363ce699c8677e540013a2fee2919d6d946b4a02cec7271a88649185","abstract_canon_sha256":"7a84afb1b95c98c2eb1ab326b84290a06fdbfccade494943e57dbcfc5c17cd13"},"schema_version":"1.0"},"canonical_sha256":"363f040ed1645af5c50cf4e222ae8021e5309bd1255dc43a885748f589905fc9","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-17T23:43:17.436762Z","signature_b64":"qflab1YGlSRrIWZ1OrE6//OL9rmKiBVA5Iu+rIZlELz+LhqCH89gUR1GFESJEH1Fxn7ewV1j6fRgOzCVmM5nCQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"363f040ed1645af5c50cf4e222ae8021e5309bd1255dc43a885748f589905fc9","last_reissued_at":"2026-05-17T23:43:17.436027Z","signature_status":"signed_v1","first_computed_at":"2026-05-17T23:43:17.436027Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1810.03940","source_version":4,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-05-17T23:43:17Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"cTpv+jIOkmnFfdbJ7VOCSPi2Sv+CJL3CMn31FErqIQysOUcB3e4vhZY7zmmaYwZnB34dWVDpKUcr+zvGGW44BQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-27T23:15:46.110591Z"},"content_sha256":"27f9cd8e88b88177580669676fec6f6bfd50fc23b05ef6129a8cfcd01f81c8f8","schema_version":"1.0","event_id":"sha256:27f9cd8e88b88177580669676fec6f6bfd50fc23b05ef6129a8cfcd01f81c8f8"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2018:GY7QIDWRMRNPLRIM6TRCFLUAEH","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Studies on the energy and deep memory behaviour of a cache-oblivious, task-based hyperbolic PDE solver","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.MS","authors_text":"Alexander Moskovsky, Andrey Kudryavtsev, Benjamin Hazelwood, Dominic E. Charrier, Ekaterina Tutlyaeva, Michael Bader, Michael Dumbser, Tobias Weinzierl","submitted_at":"2018-10-09T12:37:46Z","abstract_excerpt":"We study the performance behaviour of a seismic simulation using the ExaHyPE engine with a specific focus on memory characteristics and energy needs. ExaHyPE combines dynamically adaptive mesh refinement (AMR) with ADER-DG. It is parallelized using tasks, and it is cache efficient. AMR plus ADER-DG yields a task graph which is highly dynamic in nature and comprises both arithmetically expensive tasks and tasks which challenge the memory's latency. The expensive tasks and thus the whole code benefit from AVX vectorization, though we suffer from memory access bursts. A frequency reduction of the"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1810.03940","kind":"arxiv","version":4},"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":"2026-05-17T23:43:17Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"ffpXZ71+sGf46eibo+N6KvpnfCbuHg+yDswGNsw22P7OpHKp88pNCoIgTZPh2zktpLkrjU0M24KX8qYlgaFOCA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-27T23:15:46.111240Z"},"content_sha256":"25817ae859e47f48b8db89384ba5918e19caa92418b2d9e18bb8bf0f339bbb37","schema_version":"1.0","event_id":"sha256:25817ae859e47f48b8db89384ba5918e19caa92418b2d9e18bb8bf0f339bbb37"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/GY7QIDWRMRNPLRIM6TRCFLUAEH/bundle.json","state_url":"https://pith.science/pith/GY7QIDWRMRNPLRIM6TRCFLUAEH/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/GY7QIDWRMRNPLRIM6TRCFLUAEH/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":"2026-05-27T23:15:46Z","links":{"resolver":"https://pith.science/pith/GY7QIDWRMRNPLRIM6TRCFLUAEH","bundle":"https://pith.science/pith/GY7QIDWRMRNPLRIM6TRCFLUAEH/bundle.json","state":"https://pith.science/pith/GY7QIDWRMRNPLRIM6TRCFLUAEH/state.json","well_known_bundle":"https://pith.science/.well-known/pith/GY7QIDWRMRNPLRIM6TRCFLUAEH/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2018:GY7QIDWRMRNPLRIM6TRCFLUAEH","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":"7a84afb1b95c98c2eb1ab326b84290a06fdbfccade494943e57dbcfc5c17cd13","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.MS","submitted_at":"2018-10-09T12:37:46Z","title_canon_sha256":"a26fe9b9363ce699c8677e540013a2fee2919d6d946b4a02cec7271a88649185"},"schema_version":"1.0","source":{"id":"1810.03940","kind":"arxiv","version":4}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1810.03940","created_at":"2026-05-17T23:43:17Z"},{"alias_kind":"arxiv_version","alias_value":"1810.03940v4","created_at":"2026-05-17T23:43:17Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1810.03940","created_at":"2026-05-17T23:43:17Z"},{"alias_kind":"pith_short_12","alias_value":"GY7QIDWRMRNP","created_at":"2026-05-18T12:32:25Z"},{"alias_kind":"pith_short_16","alias_value":"GY7QIDWRMRNPLRIM","created_at":"2026-05-18T12:32:25Z"},{"alias_kind":"pith_short_8","alias_value":"GY7QIDWR","created_at":"2026-05-18T12:32:25Z"}],"graph_snapshots":[{"event_id":"sha256:25817ae859e47f48b8db89384ba5918e19caa92418b2d9e18bb8bf0f339bbb37","target":"graph","created_at":"2026-05-17T23:43:17Z","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 study the performance behaviour of a seismic simulation using the ExaHyPE engine with a specific focus on memory characteristics and energy needs. ExaHyPE combines dynamically adaptive mesh refinement (AMR) with ADER-DG. It is parallelized using tasks, and it is cache efficient. AMR plus ADER-DG yields a task graph which is highly dynamic in nature and comprises both arithmetically expensive tasks and tasks which challenge the memory's latency. The expensive tasks and thus the whole code benefit from AVX vectorization, though we suffer from memory access bursts. A frequency reduction of the","authors_text":"Alexander Moskovsky, Andrey Kudryavtsev, Benjamin Hazelwood, Dominic E. Charrier, Ekaterina Tutlyaeva, Michael Bader, Michael Dumbser, Tobias Weinzierl","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.MS","submitted_at":"2018-10-09T12:37:46Z","title":"Studies on the energy and deep memory behaviour of a cache-oblivious, task-based hyperbolic PDE solver"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1810.03940","kind":"arxiv","version":4},"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":"sha256:27f9cd8e88b88177580669676fec6f6bfd50fc23b05ef6129a8cfcd01f81c8f8","target":"record","created_at":"2026-05-17T23:43:17Z","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":"7a84afb1b95c98c2eb1ab326b84290a06fdbfccade494943e57dbcfc5c17cd13","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.MS","submitted_at":"2018-10-09T12:37:46Z","title_canon_sha256":"a26fe9b9363ce699c8677e540013a2fee2919d6d946b4a02cec7271a88649185"},"schema_version":"1.0","source":{"id":"1810.03940","kind":"arxiv","version":4}},"canonical_sha256":"363f040ed1645af5c50cf4e222ae8021e5309bd1255dc43a885748f589905fc9","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"363f040ed1645af5c50cf4e222ae8021e5309bd1255dc43a885748f589905fc9","first_computed_at":"2026-05-17T23:43:17.436027Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-17T23:43:17.436027Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"qflab1YGlSRrIWZ1OrE6//OL9rmKiBVA5Iu+rIZlELz+LhqCH89gUR1GFESJEH1Fxn7ewV1j6fRgOzCVmM5nCQ==","signature_status":"signed_v1","signed_at":"2026-05-17T23:43:17.436762Z","signed_message":"canonical_sha256_bytes"},"source_id":"1810.03940","source_kind":"arxiv","source_version":4}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:27f9cd8e88b88177580669676fec6f6bfd50fc23b05ef6129a8cfcd01f81c8f8","sha256:25817ae859e47f48b8db89384ba5918e19caa92418b2d9e18bb8bf0f339bbb37"],"state_sha256":"3e5ef034bd03de431ef34175afe7a8475f2787ad929389da4b7e91b13dff49fc"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"D3hjOaFXQgN3c1pXgvPNcIdbEMXEyrKgYQ51pr3Gnd/2qqXUh2xTc9qRpNKoMOElG0a69+5S0iLNy/ZtACyJBA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-05-27T23:15:46.114810Z","bundle_sha256":"7f9da323be32897023cf4c5597b932b628041d376ed2ab4a93e43a31938476a4"}}