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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。

中文简介正在准备中。当前显示原文说明。

查看安装方法

包含的文件(200)

  • SKILL.md11.0 KB
  • references/advanced/appendices/compute-capabilities.md3.5 KB
  • references/advanced/appendices/cpp-language-extensions.md4.9 KB
  • references/advanced/appendices/cpp-language-support.md3.2 KB
  • references/advanced/appendices/cuda-cpp-execution-model.md2.2 KB
  • references/advanced/appendices/cuda-cpp-memory-model.md2.7 KB
  • references/advanced/appendices/device-callable-apis.md3.1 KB
  • references/advanced/appendices/environment-variables.md4.2 KB
  • references/advanced/appendices/mathematical-functions.md2.5 KB
  • references/advanced/appendices/README.md1.2 KB
  • references/advanced/core/advanced-host-programming.md3.3 KB
  • references/advanced/core/advanced-kernel-programming.md3.1 KB
  • references/advanced/core/driver-api.md2.9 KB
  • references/advanced/core/feature-survey.md4.2 KB
  • references/advanced/core/multi-gpu-systems.md3.2 KB
  • references/advanced/core/README.md791 B
  • references/advanced/features/async-barriers.md2.7 KB
  • references/advanced/features/async-copies.md3.6 KB
  • references/advanced/features/cluster-launch-control.md2.1 KB
  • references/advanced/features/compute-fabric-transport.md12.2 KB
  • references/advanced/features/cooperative-groups.md2.8 KB
  • references/advanced/features/cuda-graphs.md6.2 KB
  • references/advanced/features/driver-entry-point-access.md2.6 KB
  • references/advanced/features/dynamic-parallelism.md2.8 KB
  • references/advanced/features/error-log-management.md4.3 KB
  • references/advanced/features/extended-gpu-memory.md3.0 KB
  • references/advanced/features/graphics-interop.md3.4 KB
  • references/advanced/features/green-contexts.md4.1 KB
  • references/advanced/features/inter-process-communication.md2.1 KB
  • references/advanced/features/l2-cache-control.md2.6 KB
  • references/advanced/features/lazy-loading.md2.0 KB
  • references/advanced/features/locality-domains.md7.0 KB
  • references/advanced/features/memory-sync-domains.md1.8 KB
  • references/advanced/features/pipelines.md2.4 KB
  • references/advanced/features/programmatic-dependent-launch.md2.7 KB
  • references/advanced/features/README.md3.7 KB
  • references/advanced/features/stream-ordered-memory-allocation.md2.3 KB
  • references/advanced/features/unified-memory.md3.6 KB
  • references/advanced/features/virtual-memory-management.md5.4 KB
  • references/advanced/README.md541 B
  • references/blackwell-tuning/architecture.md1.5 KB
  • references/blackwell-tuning/best-practices.md2.2 KB
  • references/blackwell-tuning/memory-system.md2.4 KB
  • references/blackwell-tuning/nvlink.md1.7 KB
  • references/blackwell-tuning/README.md975 B
  • references/blackwell-tuning/streaming-multiprocessor.md2.4 KB
  • references/cutlass/cpp/blackwell-cluster-launch-control.md2.1 KB
  • references/cutlass/cpp/blackwell-sm100-gemm.md2.5 KB
  • references/cutlass/cpp/blackwell.md1.0 KB
  • references/cutlass/cpp/build-clang-host-compiler.md1.5 KB
  • references/cutlass/cpp/build-windows-visual-studio.md1.3 KB
  • references/cutlass/cpp/build.md533 B
  • references/cutlass/cpp/code-organization.md1.8 KB
  • references/cutlass/cpp/cute-algorithms.md1.5 KB
  • references/cutlass/cpp/cute-gemm-tutorial.md1.5 KB
  • references/cutlass/cpp/cute-layout-algebra.md1.3 KB
  • references/cutlass/cpp/cute-layout.md2.4 KB
  • references/cutlass/cpp/cute-mma-atom.md1.6 KB
  • references/cutlass/cpp/cute-predication.md1.1 KB
  • references/cutlass/cpp/cute-quickstart.md1.1 KB
  • references/cutlass/cpp/cute-tensor.md1.8 KB
  • references/cutlass/cpp/cute-tma-tensors.md1.5 KB
  • references/cutlass/cpp/cute.md791 B
  • references/cutlass/cpp/cutlass-2x.md770 B
  • references/cutlass/cpp/cutlass-3x-backwards-compatibility.md2.2 KB
  • references/cutlass/cpp/cutlass-3x-design.md1.7 KB
  • references/cutlass/cpp/cutlass-3x.md607 B
  • references/cutlass/cpp/dependent-kernel-launch.md1.5 KB
  • references/cutlass/cpp/efficient-gemm.md1.5 KB
  • references/cutlass/cpp/functionality.md1.5 KB
  • references/cutlass/cpp/fundamental-types.md1.9 KB
  • references/cutlass/cpp/gemm-api-2x.md1.8 KB
  • references/cutlass/cpp/gemm-api-3x.md2.7 KB
  • references/cutlass/cpp/gemm-heuristics.md1.3 KB
  • references/cutlass/cpp/gemm-performance-measurement.md1.5 KB
  • references/cutlass/cpp/getting-started.md1.2 KB
  • references/cutlass/cpp/grouped-scheduler.md2.4 KB
  • references/cutlass/cpp/ide-setup.md2.1 KB
  • references/cutlass/cpp/implicit-gemm-convolution.md1.7 KB
  • references/cutlass/cpp/layout-2x.md1.5 KB
  • references/cutlass/cpp/overview.md2.4 KB
  • references/cutlass/cpp/pipeline.md1.9 KB
  • references/cutlass/cpp/profiler.md1.7 KB
  • references/cutlass/cpp/programming-guidelines.md2.7 KB
  • references/cutlass/cpp/quickstart.md1.9 KB
  • references/cutlass/cpp/README.md4.8 KB
  • references/cutlass/cpp/terminology.md1.6 KB
  • references/cutlass/cpp/tile-iterator-concept.md1.5 KB
  • references/cutlass/cpp/utilities.md1.7 KB
  • references/cutlass/cute-dsl/api-cute-arch.md2.5 KB
  • references/cutlass/cute-dsl/api-cute-nvgpu-common.md1.2 KB
  • references/cutlass/cute-dsl/api-cute-nvgpu-cpasync.md2.4 KB
  • references/cutlass/cute-dsl/api-cute-nvgpu-tcgen05.md1.6 KB
  • references/cutlass/cute-dsl/api-cute-nvgpu-warp.md1.5 KB
  • references/cutlass/cute-dsl/api-cute-nvgpu-warpgroup.md1.4 KB
  • references/cutlass/cute-dsl/api-cute-nvgpu.md988 B
  • references/cutlass/cute-dsl/api-cute-runtime.md1.6 KB
  • references/cutlass/cute-dsl/api-cute.md2.3 KB
  • references/cutlass/cute-dsl/api-overview.md1.4 KB
  • references/cutlass/cute-dsl/api-pipeline.md2.2 KB
  • references/cutlass/cute-dsl/api-utils-sm100.md2.3 KB
  • references/cutlass/cute-dsl/api-utils-sm90.md1.2 KB
  • references/cutlass/cute-dsl/api-utils.md1.7 KB
  • references/cutlass/cute-dsl/autotuning-gemm.md1.7 KB
  • references/cutlass/cute-dsl/compile-with-tvm-ffi.md2.2 KB
  • references/cutlass/cute-dsl/cute-dsl.md1.4 KB
  • references/cutlass/cute-dsl/debugging.md3.4 KB
  • references/cutlass/cute-dsl/deprecation-policy.md1.2 KB
  • references/cutlass/cute-dsl/dsl-ahead-of-time-compilation.md3.2 KB
  • references/cutlass/cute-dsl/dsl-code-generation.md1.5 KB
  • references/cutlass/cute-dsl/dsl-control-flow.md2.2 KB
  • references/cutlass/cute-dsl/dsl-dynamic-layout.md1.4 KB
  • references/cutlass/cute-dsl/dsl-introduction.md2.6 KB
  • references/cutlass/cute-dsl/dsl-jit-arg-generation.md1.6 KB
  • references/cutlass/cute-dsl/dsl-jit-caching.md1.4 KB
  • references/cutlass/cute-dsl/dsl-jit-compilation-options.md2.7 KB
  • references/cutlass/cute-dsl/dsl-struct-types.md1.4 KB
  • references/cutlass/cute-dsl/dsl-types.md1.5 KB
  • references/cutlass/cute-dsl/faqs.md2.0 KB
  • references/cutlass/cute-dsl/framework-integration.md1.7 KB
  • references/cutlass/cute-dsl/functionality.md680 B
  • references/cutlass/cute-dsl/iket-profiling.md2.6 KB
  • references/cutlass/cute-dsl/limitations.md2.4 KB
  • references/cutlass/cute-dsl/mma-intro.md1.0 KB
  • references/cutlass/cute-dsl/mma-tcgen05-programming.md2.1 KB
  • references/cutlass/cute-dsl/mma-wgmma-programming.md1.8 KB
  • references/cutlass/cute-dsl/mma-wmma-programming.md1.4 KB
  • references/cutlass/cute-dsl/naming-conventions.md1.3 KB
  • references/cutlass/cute-dsl/overview.md1.2 KB
  • references/cutlass/cute-dsl/primitives-api.md5.3 KB
  • references/cutlass/cute-dsl/quick-start.md916 B
  • references/cutlass/cute-dsl/README.md7.9 KB
  • references/cutlass/cute-dsl/task-scheduling.md3.6 KB
  • references/cutlass/cute-dsl/ts-allocators.md5.6 KB
  • references/cutlass/cute-dsl/ts-api-enums.md5.2 KB
  • references/cutlass/cute-dsl/ts-api-memory.md4.9 KB
  • references/cutlass/cute-dsl/ts-api-pipeline-group.md4.7 KB
  • references/cutlass/cute-dsl/ts-api-pipeline.md5.1 KB
  • references/cutlass/cute-dsl/ts-api-resources.md14.3 KB
  • references/cutlass/cute-dsl/ts-api-schedule-builder.md1.6 KB
  • references/cutlass/cute-dsl/ts-api-task-manager.md6.5 KB
  • references/cutlass/cute-dsl/ts-api-task-scheduling.md5.3 KB
  • references/cutlass/cute-dsl/ts-api-task.md4.7 KB
  • references/cutlass/cute-dsl/ts-introduction.md5.1 KB
  • references/cutlass/cute-dsl/ts-patterns.md7.1 KB
  • references/cutlass/cute-dsl/ts-pdl.md2.6 KB
  • references/cutlass/cute-dsl/ts-pipeline-groups.md5.2 KB
  • references/cutlass/cute-dsl/ts-pipelines.md5.4 KB
  • references/cutlass/cute-dsl/ts-printout.md5.1 KB
  • references/cutlass/cute-dsl/ts-resources.md6.0 KB
  • references/cutlass/cute-dsl/ts-schedules.md6.5 KB
  • references/cutlass/cute-dsl/ts-validation.md7.8 KB
  • references/cutlass/operator-api/api-arguments.md3.6 KB
  • references/cutlass/operator-api/api-discovery.md2.1 KB
  • references/cutlass/operator-api/api-heuristics.md5.1 KB
  • references/cutlass/operator-api/api-metadata.md2.4 KB
  • references/cutlass/operator-api/api-misc.md1.3 KB
  • references/cutlass/operator-api/api-operator.md2.5 KB
  • references/cutlass/operator-api/api-reference.md780 B
  • references/cutlass/operator-api/overview.md3.0 KB
  • references/cutlass/operator-api/README.md2.5 KB
  • references/cutlass/operator-api/tutorial-000-gemm.md1.7 KB
  • references/cutlass/operator-api/tutorial-001-gemm-fused-epilogue.md3.3 KB
  • references/cutlass/operator-api/tutorial-002-bring-your-own-kernel.md2.2 KB
  • references/cutlass/operator-api/tutorial-003-host-latency-best-practices.md1.3 KB
  • references/cutlass/operator-api/tutorial-004-fake-tensors.md1.4 KB
  • references/cutlass/operator-api/tutorial-005-grouped-gemm-contiguous-offset.md1.8 KB
  • references/cutlass/operator-api/tutorial-006-block-scaled-gemm.md2.0 KB
  • references/cutlass/operator-api/tutorial-007-heuristics.md2.7 KB
  • references/cutlass/operator-api/tutorials.md1.2 KB
  • references/cutlass/README.md462 B
  • references/programming-model/asynchronous-execution.md2.3 KB
  • references/programming-model/cuda-platform.md3.6 KB
  • references/programming-model/intro-to-cuda-cpp.md5.9 KB
  • references/programming-model/intro-to-cuda-python.md2.3 KB
  • references/programming-model/introduction.md3.0 KB
  • references/programming-model/nvcc.md2.3 KB
  • references/programming-model/programming-model.md12.8 KB
  • references/programming-model/README.md2.1 KB
  • references/programming-model/understanding-memory.md3.2 KB
  • references/programming-model/writing-cuda-kernels.md4.1 KB
  • references/programming-model/writing-tile-kernels.md6.2 KB
  • references/ptx-isa/abi.md1.1 KB
  • references/ptx-isa/directives.md3.2 KB
  • references/ptx-isa/instruction-operands.md1.1 KB
  • references/ptx-isa/instruction-set-overview.md1.5 KB
  • references/ptx-isa/instructions-arithmetic.md2.7 KB
  • references/ptx-isa/instructions-comparison-logic.md1.6 KB
  • references/ptx-isa/instructions-control-flow.md1.1 KB
  • references/ptx-isa/instructions-data-movement.md6.6 KB
  • references/ptx-isa/instructions-matrix-multiply.md2.5 KB
  • references/ptx-isa/instructions-sync-communication.md2.2 KB
  • references/ptx-isa/instructions-texture-surface.md1.2 KB
  • references/ptx-isa/instructions-video-misc.md1.3 KB
  • references/ptx-isa/introduction.md1.9 KB
  • references/ptx-isa/machine-model.md1.8 KB
  • references/ptx-isa/memory-consistency-model.md1.2 KB
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  • references/ptx-isa/programming-model.md1.6 KB
  • references/ptx-isa/README.md3.2 KB

SKILL.md(原文)

安装前可以查看交给 AI 代理的指令内容。

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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