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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, Green Contexts, 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, Locality Domains, Compute Fabric Transport。

CUTLASS / CuTe DSL / CuTe C++ GEMM, Tensor Core, tcgen05, Task Scheduling, Operator API, nvMatmulHeuristics, nsight-compute, compute-sanitizer。

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See how to install

Files included (200)

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SKILL.md (original)

Review the instructions the agent will receive before you install.

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

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
        locality-domains.md
        compute-fabric-transport.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
        primitives-api.md
        task-scheduling.md
        ts-introduction.md
        ts-resources.md
        ts-pipelines.md
        ts-schedules.md
        ts-patterns.md
        ts-validation.md
        ts-printout.md
        ts-allocators.md
        ts-pipeline-groups.md
        ts-pdl.md
        ts-api-task-scheduling.md
        ts-api-resources.md
        ts-api-task.md
        ts-api-task-manager.md
        ts-api-schedule-builder.md
        ts-api-memory.md
        ts-api-pipeline-group.md
        ts-api-pipeline.md
        ts-api-enums.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
        tutorial-007-heuristics.md
        api-reference.md
        api-operator.md
        api-arguments.md
        api-discovery.md
        api-heuristics.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-modelreferences/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-modelreferences/programming-model/README.md
advanced カテゴリ全体の構成(core / features / appendices)を確認したいadvancedreferences/advanced/README.md
Driver API・マルチ GPU・advanced host/kernel programming を調べたいadvanced/corereferences/advanced/core/README.md
CUDA Graphs / Cooperative Groups / Unified Memory / VMM / IPC / Green Contexts / Locality Domains / Compute Fabric Transport 等の機能 API を調べたいadvanced/featuresreferences/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/appendicesreferences/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-isareferences/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-tuningreferences/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cutlassreferences/cutlass/README.md
CuTe DSL (Python) で GEMM・MMA・レイアウト・Task Scheduling (TS) を書きたいcutlass/cute-dslreferences/cutlass/cute-dsl/README.md
CUTLASS Operator API(Python、コンパイル済みカーネル呼び出し・nvMatmulHeuristics による operator ランキング)を使いたいcutlass/operator-apireferences/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/cppreferences/cutlass/cpp/README.md
典型的な使い方を知りたい(vector add, tiled matmul, GEMM, CUDA Graphs 等)samplessamples/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scriptsscripts/README.md

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