{"schema_version":"onlylabs.public_signal.v1","title":"NVIDIA Repo: NVIDIA/NPPDx","description":"NVIDIA repo signal with public source context, captured evidence pages, related signals, and data-business radar classification.","url":"https://onlylabs.fyi/signals/04534178-9547-4420-b60a-8b216ab22d39","json_url":"https://onlylabs.fyi/signals/04534178-9547-4420-b60a-8b216ab22d39/signal.json","generated_at":"2026-09-12T23:05:29.979Z","evidence_latest_fetched_at":"2026-07-31T07:01:59.483785+00:00","signal_first_seen_at":"2026-07-31T07:00:42.145031+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/04534178-9547-4420-b60a-8b216ab22d39","signal_json":"https://onlylabs.fyi/signals/04534178-9547-4420-b60a-8b216ab22d39/signal.json","source":"https://github.com/NVIDIA/NPPDx","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":null,"topic_signals_json":null,"topic_feed":null,"data_business":null},"answer_pack":{"answer":"NVIDIA published NVIDIA/NPPDx (C++). 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NPPDx lets applications describe image I/O, format conversion, pointwise transforms, area operations, and resize operations as composable C++ types, then execute those operations directly inside user CUDA kernels. NPPDx operations are configured at compile time by composing operators such as `InputOutput`, `InputFormat`, `OutputFormat`, `Function`, `TileSize`, `SM`, and `Block`. The resulting operation type exposes launch traits, such as block dimensions and shared-memory requirements, and provides an `execute()` member function for use in CUDA device code. 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