{"schema_version":"onlylabs.public_signal.v1","title":"NVIDIA Release: NVIDIA/cuDecomp v0.5.1","description":"NVIDIA release signal with public source context, captured evidence pages, related signals, and data-business radar classification.","url":"https://onlylabs.fyi/signals/896dfc92-1b11-4d0b-b3b8-d5732fd4f5b6","json_url":"https://onlylabs.fyi/signals/896dfc92-1b11-4d0b-b3b8-d5732fd4f5b6/signal.json","generated_at":"2026-06-11T22:53:40.063Z","evidence_latest_fetched_at":"2026-06-11T07:04:09.904964+00:00","signal_first_seen_at":"2026-06-11T07:01:14.42859+00:00","org":{"slug":"nvidia","name":"NVIDIA","category":"frontier-lab","category_label":"Frontier lab","dossier_url":"https://onlylabs.fyi/labs/nvidia","dossier_json_url":"https://onlylabs.fyi/labs/nvidia/dossier.json"},"related_urls":{"signal":"https://onlylabs.fyi/signals/896dfc92-1b11-4d0b-b3b8-d5732fd4f5b6","signal_json":"https://onlylabs.fyi/signals/896dfc92-1b11-4d0b-b3b8-d5732fd4f5b6/signal.json","source":"https://github.com/NVIDIA/cuDecomp/releases/tag/v0.5.1","lab_dossier":"https://onlylabs.fyi/labs/nvidia","lab_dossier_json":"https://onlylabs.fyi/labs/nvidia/dossier.json","analysis":"https://onlylabs.fyi/analysis/nvidia","analysis_json":"https://onlylabs.fyi/analysis/nvidia/analysis.json","analysis_evidence_json":"https://onlylabs.fyi/analysis/nvidia/evidence.json","category":"https://onlylabs.fyi/frontier","category_json":"https://onlylabs.fyi/frontier.json","category_feed":"https://onlylabs.fyi/frontier/feed.xml","category_signals_json":"https://onlylabs.fyi/signals.json","topic":"https://onlylabs.fyi/topics/releases","topic_signals_json":"https://onlylabs.fyi/topics/releases/signals.json","topic_feed":"https://onlylabs.fyi/topics/releases/feed.xml","data_business":null},"answer_pack":{"answer":"NVIDIA published NVIDIA/cuDecomp v0.5.1 (NVIDIA/cuDecomp). 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This release signal is evidence of what shipped, changed, or was packaged for users. 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This release adds the ability to capture packing kernels for the pipelined backends in CUDA graphs for better latency in some cases (enabled via new environment variable `CUDECOMP_ENABLE_CUDA_GRAPHS`, see https://github.com/NVIDIA/cuDecomp/pull/68 for more details). This release also adds a new performance reporting feature to report timing breakdowns of the communication and local processing time of transpose and halo operations launched in a user workload (enabled via new environment variable `CUDECOMP_ENABLE_PERFORMANCE_REPORT`, see https://github.com/NVIDIA/cuDecomp/pull/75 for more details). Breaking changes None. Deprecations None. PRs included in this release * Improve packing kernel launch efficiency for pipelined backends using CUDA graphs. (https://github.com/NVIDIA/cuDecomp/pull/68) * Fix Fortran documentation of transpose_*_halo_extents and transpose_*_padding autotuning options. 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