{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2017:CXO5FRPJ35AYDOXGNIVW3PG3ET","short_pith_number":"pith:CXO5FRPJ","canonical_record":{"source":{"id":"1705.01598","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.MS","submitted_at":"2017-05-03T19:58:00Z","cross_cats_sorted":[],"title_canon_sha256":"e6e7f1f2e582fc2ec06f814194996d654c7a296575e4d248b2dc3a87bf429565","abstract_canon_sha256":"54231cb04886aea609a72db7db112a78ba1cfc5bd00be2a0accce254c1f39786"},"schema_version":"1.0"},"canonical_sha256":"15ddd2c5e9df4181bae66a2b6dbcdb24eb5409d18bb32eb886c38cd0b9085dee","source":{"kind":"arxiv","id":"1705.01598","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1705.01598","created_at":"2026-05-18T00:45:04Z"},{"alias_kind":"arxiv_version","alias_value":"1705.01598v1","created_at":"2026-05-18T00:45:04Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1705.01598","created_at":"2026-05-18T00:45:04Z"},{"alias_kind":"pith_short_12","alias_value":"CXO5FRPJ35AY","created_at":"2026-05-18T12:31:10Z"},{"alias_kind":"pith_short_16","alias_value":"CXO5FRPJ35AYDOXG","created_at":"2026-05-18T12:31:10Z"},{"alias_kind":"pith_short_8","alias_value":"CXO5FRPJ","created_at":"2026-05-18T12:31:10Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2017:CXO5FRPJ35AYDOXGNIVW3PG3ET","target":"record","payload":{"canonical_record":{"source":{"id":"1705.01598","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.MS","submitted_at":"2017-05-03T19:58:00Z","cross_cats_sorted":[],"title_canon_sha256":"e6e7f1f2e582fc2ec06f814194996d654c7a296575e4d248b2dc3a87bf429565","abstract_canon_sha256":"54231cb04886aea609a72db7db112a78ba1cfc5bd00be2a0accce254c1f39786"},"schema_version":"1.0"},"canonical_sha256":"15ddd2c5e9df4181bae66a2b6dbcdb24eb5409d18bb32eb886c38cd0b9085dee","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T00:45:04.570461Z","signature_b64":"SkProICKgPQGaVb8jEJlIlm85NPfpHd98BkpGDJTQxFRxUlGaphE+k+d29Z1WX0s1i+ZjULP2qBrLR9K5OJHAw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"15ddd2c5e9df4181bae66a2b6dbcdb24eb5409d18bb32eb886c38cd0b9085dee","last_reissued_at":"2026-05-18T00:45:04.569985Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T00:45:04.569985Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1705.01598","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":"2026-05-18T00:45:04Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"AglKPqWF8d3oDDBJjwm7QVXUk89axRVTYZYvbasDpwX+v2EGHkP2T6XYL18JhdIrdA5eZtkhry+VYVv7ZOB6AA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-10T12:18:12.689596Z"},"content_sha256":"fd061ce98dd7d91909143ccfa0b916df12c5da07610c8e6f49053183011e5bd5","schema_version":"1.0","event_id":"sha256:fd061ce98dd7d91909143ccfa0b916df12c5da07610c8e6f49053183011e5bd5"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2017:CXO5FRPJ35AYDOXGNIVW3PG3ET","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"cuTT: A High-Performance Tensor Transpose Library for CUDA Compatible GPUs","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.MS","authors_text":"Antti-Pekka Hynninen, Dmitry I. Lyakh","submitted_at":"2017-05-03T19:58:00Z","abstract_excerpt":"We introduce the CUDA Tensor Transpose (cuTT) library that implements high-performance tensor transposes for NVIDIA GPUs with Kepler and above architectures. cuTT achieves high performance by (a) utilizing two GPU-optimized transpose algorithms that both use a shared memory buffer in order to reduce global memory access scatter, and by (b) computing memory positions of tensor elements using a thread-parallel algorithm. We evaluate the performance of cuTT on a variety of benchmarks with tensor ranks ranging from 2 to 12 and show that cuTT performance is independent of the tensor rank and that i"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1705.01598","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":"2026-05-18T00:45:04Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"xFA2lJR4fwmIBuav/N9xEKPfuhVrJ7aMM4A29zQgd11xnDP5eb2Mm+kRUiiLDwWHIdW5IRj/DEMn+cuTz3YZCg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-10T12:18:12.690215Z"},"content_sha256":"d3261a2c262662b032d836a935b9e9d1056388f743159fe948186aaf1d42ccfa","schema_version":"1.0","event_id":"sha256:d3261a2c262662b032d836a935b9e9d1056388f743159fe948186aaf1d42ccfa"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/CXO5FRPJ35AYDOXGNIVW3PG3ET/bundle.json","state_url":"https://pith.science/pith/CXO5FRPJ35AYDOXGNIVW3PG3ET/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/CXO5FRPJ35AYDOXGNIVW3PG3ET/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":"2026-06-10T12:18:12Z","links":{"resolver":"https://pith.science/pith/CXO5FRPJ35AYDOXGNIVW3PG3ET","bundle":"https://pith.science/pith/CXO5FRPJ35AYDOXGNIVW3PG3ET/bundle.json","state":"https://pith.science/pith/CXO5FRPJ35AYDOXGNIVW3PG3ET/state.json","well_known_bundle":"https://pith.science/.well-known/pith/CXO5FRPJ35AYDOXGNIVW3PG3ET/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2017:CXO5FRPJ35AYDOXGNIVW3PG3ET","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":"54231cb04886aea609a72db7db112a78ba1cfc5bd00be2a0accce254c1f39786","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.MS","submitted_at":"2017-05-03T19:58:00Z","title_canon_sha256":"e6e7f1f2e582fc2ec06f814194996d654c7a296575e4d248b2dc3a87bf429565"},"schema_version":"1.0","source":{"id":"1705.01598","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1705.01598","created_at":"2026-05-18T00:45:04Z"},{"alias_kind":"arxiv_version","alias_value":"1705.01598v1","created_at":"2026-05-18T00:45:04Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1705.01598","created_at":"2026-05-18T00:45:04Z"},{"alias_kind":"pith_short_12","alias_value":"CXO5FRPJ35AY","created_at":"2026-05-18T12:31:10Z"},{"alias_kind":"pith_short_16","alias_value":"CXO5FRPJ35AYDOXG","created_at":"2026-05-18T12:31:10Z"},{"alias_kind":"pith_short_8","alias_value":"CXO5FRPJ","created_at":"2026-05-18T12:31:10Z"}],"graph_snapshots":[{"event_id":"sha256:d3261a2c262662b032d836a935b9e9d1056388f743159fe948186aaf1d42ccfa","target":"graph","created_at":"2026-05-18T00:45:04Z","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 introduce the CUDA Tensor Transpose (cuTT) library that implements high-performance tensor transposes for NVIDIA GPUs with Kepler and above architectures. cuTT achieves high performance by (a) utilizing two GPU-optimized transpose algorithms that both use a shared memory buffer in order to reduce global memory access scatter, and by (b) computing memory positions of tensor elements using a thread-parallel algorithm. We evaluate the performance of cuTT on a variety of benchmarks with tensor ranks ranging from 2 to 12 and show that cuTT performance is independent of the tensor rank and that i","authors_text":"Antti-Pekka Hynninen, Dmitry I. Lyakh","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.MS","submitted_at":"2017-05-03T19:58:00Z","title":"cuTT: A High-Performance Tensor Transpose Library for CUDA Compatible GPUs"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1705.01598","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:fd061ce98dd7d91909143ccfa0b916df12c5da07610c8e6f49053183011e5bd5","target":"record","created_at":"2026-05-18T00:45:04Z","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":"54231cb04886aea609a72db7db112a78ba1cfc5bd00be2a0accce254c1f39786","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.MS","submitted_at":"2017-05-03T19:58:00Z","title_canon_sha256":"e6e7f1f2e582fc2ec06f814194996d654c7a296575e4d248b2dc3a87bf429565"},"schema_version":"1.0","source":{"id":"1705.01598","kind":"arxiv","version":1}},"canonical_sha256":"15ddd2c5e9df4181bae66a2b6dbcdb24eb5409d18bb32eb886c38cd0b9085dee","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"15ddd2c5e9df4181bae66a2b6dbcdb24eb5409d18bb32eb886c38cd0b9085dee","first_computed_at":"2026-05-18T00:45:04.569985Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T00:45:04.569985Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"SkProICKgPQGaVb8jEJlIlm85NPfpHd98BkpGDJTQxFRxUlGaphE+k+d29Z1WX0s1i+ZjULP2qBrLR9K5OJHAw==","signature_status":"signed_v1","signed_at":"2026-05-18T00:45:04.570461Z","signed_message":"canonical_sha256_bytes"},"source_id":"1705.01598","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:fd061ce98dd7d91909143ccfa0b916df12c5da07610c8e6f49053183011e5bd5","sha256:d3261a2c262662b032d836a935b9e9d1056388f743159fe948186aaf1d42ccfa"],"state_sha256":"7cbf6456b9dd2b81de5d0fb4c8036917d8fb0f121581901999e10a48cd0e8c75"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"doUW+nKgN7/uR824oAIfCbZjl1xtX172PnG7gJ8SN/+jO1yeJd/VabL0Cy9XlEXBzwjJLJtw7Yvr6ZYEYO+MDw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-06-10T12:18:12.693991Z","bundle_sha256":"9750fb84c8760290ce8a25d35d507629ce9f2af326a34d3cd67374643f6d00d5"}}