# Nvidia Cuda > NVIDIA CUDA GPU 並列コンピューティングリファレンス。 CUDA C++ / CUDA Python, kernel, nvcc, Unified Memory, CUDA Graphs, Cooperative Groups, Driver API, マルチ GPU。 PTX ISA 命令セット, state space, MMA 命令。 Blackwell チューニング, Streaming Multiprocessor, NVLink。 CUTLASS / CuTe DSL / CuTe C++ GEMM, Tensor Core, tcgen05, Operator API, nsight-compute, compute-sanitizer。 - Skill: `fandhe-ai-agent-reference-skil/nvidia-cuda` (Agent Skill, multi-file: 207 files) - Install (CLI): `npx skillmds@latest add fandhe-ai-agent-reference-skil/nvidia-cuda` - Raw SKILL.md: https://api.skillmd.com/api/skills/fandhe-ai-agent-reference-skil/nvidia-cuda/raw - Safety review: pending - Works with: Claude Code, Claude.ai, OpenAI Codex - Category: AI & ML - Author: fandhe-ai (https://skillmd.com/u/fandhe-ai-agent-reference-skil) - Updated: 2026-09-09 - Page: https://skillmd.com/skills/fandhe-ai-agent-reference-skil/nvidia-cuda --- # nvidia-cuda NVIDIA CUDA — GPU 上で汎用並列計算を行うためのプログラミングモデル・ツールチェーン・ライブラリ群。 CUDA C++/Python によるカーネル記述、PTX ISA 命令セット、Blackwell アーキテクチャ向けチューニング、 CUTLASS/CuTe による高性能 GEMM 実装をカバーする。 ## ディレクトリ構成 ```text skills/nvidia-cuda/ SKILL.md references/ programming-model/ README.md introduction.md programming-model.md cuda-platform.md intro-to-cuda-cpp.md intro-to-cuda-python.md writing-cuda-kernels.md writing-tile-kernels.md asynchronous-execution.md understanding-memory.md nvcc.md advanced/ README.md core/ README.md advanced-host-programming.md advanced-kernel-programming.md driver-api.md multi-gpu-systems.md feature-survey.md features/ README.md unified-memory.md cuda-graphs.md stream-ordered-memory-allocation.md cooperative-groups.md programmatic-dependent-launch.md green-contexts.md lazy-loading.md error-log-management.md async-barriers.md pipelines.md async-copies.md cluster-launch-control.md l2-cache-control.md memory-sync-domains.md inter-process-communication.md virtual-memory-management.md extended-gpu-memory.md dynamic-parallelism.md graphics-interop.md driver-entry-point-access.md appendices/ README.md compute-capabilities.md environment-variables.md cpp-language-support.md cpp-language-extensions.md mathematical-functions.md device-callable-apis.md cuda-cpp-memory-model.md cuda-cpp-execution-model.md ptx-isa/ README.md introduction.md programming-model.md machine-model.md syntax.md state-spaces-types-variables.md instruction-operands.md abi.md memory-consistency-model.md instruction-set-overview.md instructions-arithmetic.md instructions-comparison-logic.md instructions-data-movement.md instructions-texture-surface.md instructions-control-flow.md instructions-sync-communication.md instructions-matrix-multiply.md instructions-video-misc.md special-registers.md directives.md pragma-strings.md release-notes.md blackwell-tuning/ README.md architecture.md best-practices.md streaming-multiprocessor.md memory-system.md nvlink.md cutlass/ README.md cute-dsl/ README.md overview.md functionality.md quick-start.md cute-dsl.md dsl-introduction.md dsl-code-generation.md dsl-control-flow.md dsl-jit-arg-generation.md dsl-dynamic-layout.md dsl-struct-types.md dsl-jit-caching.md dsl-jit-compilation-options.md dsl-types.md framework-integration.md debugging.md iket-profiling.md autotuning-gemm.md compile-with-tvm-ffi.md dsl-ahead-of-time-compilation.md naming-conventions.md deprecation-policy.md mma-intro.md mma-wmma-programming.md mma-wgmma-programming.md mma-tcgen05-programming.md limitations.md faqs.md api-overview.md api-cute.md api-cute-arch.md api-cute-runtime.md api-cute-nvgpu.md api-cute-nvgpu-common.md api-cute-nvgpu-warp.md api-cute-nvgpu-warpgroup.md api-cute-nvgpu-cpasync.md api-cute-nvgpu-tcgen05.md api-pipeline.md api-utils.md api-utils-sm90.md api-utils-sm100.md operator-api/ README.md overview.md tutorials.md tutorial-000-gemm.md tutorial-001-gemm-fused-epilogue.md tutorial-002-bring-your-own-kernel.md tutorial-003-host-latency-best-practices.md tutorial-004-fake-tensors.md tutorial-005-grouped-gemm-contiguous-offset.md tutorial-006-block-scaled-gemm.md api-reference.md api-operator.md api-arguments.md api-discovery.md api-metadata.md api-misc.md cpp/ README.md overview.md getting-started.md quickstart.md ide-setup.md build.md build-windows-visual-studio.md build-clang-host-compiler.md functionality.md terminology.md fundamental-types.md programming-guidelines.md gemm-heuristics.md efficient-gemm.md pipeline.md profiler.md gemm-performance-measurement.md dependent-kernel-launch.md blackwell.md blackwell-sm100-gemm.md blackwell-cluster-launch-control.md code-organization.md cute.md cute-quickstart.md cute-layout.md cute-layout-algebra.md cute-tensor.md cute-algorithms.md cute-mma-atom.md cute-gemm-tutorial.md cute-predication.md cute-tma-tensors.md cutlass-3x.md cutlass-3x-design.md cutlass-3x-backwards-compatibility.md gemm-api-3x.md cutlass-2x.md layout-2x.md gemm-api-2x.md tile-iterator-concept.md utilities.md grouped-scheduler.md implicit-gemm-convolution.md samples/ README.md async-copy-pipeline.md cooperative-groups-reduction.md cuda-graph-explicit-nodes.md cuda-graph-stream-capture.md cute-dsl-gemm.md cutlass-cpp-device-gemm.md cutlass-operator-api-gemm.md explicit-memory-transfer.md multi-gpu-peer-to-peer.md shared-memory-tiled-matmul.md stream-ordered-allocation.md stream-overlap.md tile-kernel-vector-add.md unified-memory.md vector-add-kernel.md scripts/ README.md install.md nvcc-build.md binary-utilities.md sanitize.md debug.md nsight-systems.md nsight-compute.md gpu-query.md cutlass-build.md ``` ## 探索手順 タスクからカテゴリを引き、カテゴリの README.md で目的のページを特定する: 1. 下記マッピング表でタスクに対応するカテゴリを探す 2. そのカテゴリの `references/{category}/README.md`（`advanced/` `cutlass/` はサブディレクトリの README.md）を参照して目的のページを特定する 3. 該当ページの `.md` を Read して詳細を確認する GB10 Grace Blackwell 実機のハードウェア仕様・DGX OS・PXE/fleet 運用・playbook 起動手順は `dgx-spark` スキル、 リモート接続管理・VS Code 起動等のデスクトップアプリ操作は `nvidia-sync` スキルを参照。 本スキルは CUDA C++/Python の書き方・PTX 命令・CUTLASS API を担当する。 ## タスク → カテゴリ マッピング | タスク | カテゴリ | 参照 README | |--------|---------|------------| | CUDA とは何か・GPU 階層モデル・CUDA プラットフォームの全体像を知りたい | programming-model | [references/programming-model/README.md](references/programming-model/README.md) | | CUDA C++/Python でカーネルを書く、nvcc でビルドする、非同期実行・ストリームを扱う | programming-model | [references/programming-model/README.md](references/programming-model/README.md) | | advanced カテゴリ全体の構成（core / features / appendices）を確認したい | advanced | [references/advanced/README.md](references/advanced/README.md) | | Driver API・マルチ GPU・advanced host/kernel programming を調べたい | advanced/core | [references/advanced/core/README.md](references/advanced/core/README.md) | | CUDA Graphs / Cooperative Groups / Unified Memory / VMM / IPC 等の機能 API を調べたい | advanced/features | [references/advanced/features/README.md](references/advanced/features/README.md) | | Compute Capability・環境変数・C++ 言語拡張・メモリ/実行モデルの技術付録を調べたい | advanced/appendices | [references/advanced/appendices/README.md](references/advanced/appendices/README.md) | | PTX 命令セット・state space・レジスタ・memory consistency model を調べたい | ptx-isa | [references/ptx-isa/README.md](references/ptx-isa/README.md) | | Blackwell アーキテクチャ・SM occupancy・NVLink・メモリシステムのチューニングを知りたい | blackwell-tuning | [references/blackwell-tuning/README.md](references/blackwell-tuning/README.md) | | CUTLASS/CuTe 全体のカテゴリ構成（CuTe DSL / Operator API / C++）を確認したい | cutlass | [references/cutlass/README.md](references/cutlass/README.md) | | CuTe DSL (Python) で GEMM・MMA・レイアウトを書きたい | cutlass/cute-dsl | [references/cutlass/cute-dsl/README.md](references/cutlass/cute-dsl/README.md) | | CUTLASS Operator API（Python、コンパイル済みカーネル呼び出し）を使いたい | cutlass/operator-api | [references/cutlass/operator-api/README.md](references/cutlass/operator-api/README.md) | | CUTLASS C++ / CuTe C++ でテンプレートベースの GEMM カーネルを実装したい | cutlass/cpp | [references/cutlass/cpp/README.md](references/cutlass/cpp/README.md) | | 典型的な使い方を知りたい（vector add, tiled matmul, GEMM, CUDA Graphs 等） | samples | [samples/README.md](samples/README.md) | | インストール・nvcc ビルド・nsight プロファイリング・compute-sanitizer コマンドを知りたい | scripts | [scripts/README.md](scripts/README.md) |