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。
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
설치 방법 보기설치하기 전에 에이전트에게 전달되는 지시 내용을 확인할 수 있습니다.
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。
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
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:
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.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 | 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 |
| 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 |
| advanced カテゴリ全体の構成（core / features / appendices）を確認したい | advanced | 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 |
| 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/features | 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 |
| 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 |
| 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 |
| 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 |
| CuTe DSL (Python) で GEMM・MMA・レイアウト・Task Scheduling (TS) を書きたい | cutlass/cute-dsl | 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・nvMatmulHeuristics による operator ランキング）を使いたい | cutlass/operator-api | 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 |
| 典型的な使い方を知りたい（vector add, tiled matmul, GEMM, CUDA Graphs 等） | samples | 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 |
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AMD ROCm / HIP GPU コンピューティングリファレンス。 hipMalloc, hipLaunchKernelGGL, HIP Graph, hipGreenCtx, HIPRTC, hipify, rocBLAS, MIOpen, RCCL, hipThreads, libhipcxx, rocprofv3, amd-smi, rocminfo, TheRock / Core SDK 10, CDNA1-4 / RDNA1-4, MI300 / MI350 / MI350P, gfx942, Matrix Core, wave32/64。
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Android アプリ開発 (Kotlin) の推奨アーキテクチャリファレンス。 Jetpack, androidx, UI layer, Domain layer, Data layer, state holder, UDF, SSOT, オフラインファースト, モジュール化, ViewModel, viewModelScope, SavedStateHandle, Lifecycle, repeatOnLifecycle, collectAsStateWithLifecycle, LiveData, Hilt による DI, Paging 3 によるページング処理。
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Android アプリ開発 (Kotlin) のバックグラウンド・非同期処理リファレンス。 Jetpack androidx WorkManager: Worker, CoroutineWorker, WorkRequest, Constraints, WorkInfo, WorkContinuation, expedited work, テスト。 Service: フォアグラウンドサービス, バウンドサービス, AIDL, Messenger。 AlarmManager, PendingIntent, BroadcastReceiver, JobScheduler, Doze。 Kotlin コルーチン, Flow, StateFlow, SharedFlow, Channel。
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Android アプリ開発 (Kotlin) の Gradle ビルドシステムリファレンス。 Android Gradle Plugin (AGP), Kotlin DSL (build.gradle.kts), version catalog, KSP, R8/ProGuard, App Bundle, baseline profile。
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Android Jetpack Compose (Kotlin) の androidx Material3 コンポーネントリファレンス。 Button, IconButton, FloatingActionButton, Checkbox, Switch, Slider, TextField, SearchBar, DropdownMenu, Chip, DatePicker, TimePicker, Card, Scaffold, Dialog, BottomSheet, TopAppBar, NavigationBar, NavigationRail, Tab, Snackbar, ProgressIndicator, Badge, Icon, MaterialTheme, ColorScheme, Typography, Shapes。
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Android Jetpack Compose (Kotlin) のアニメーション・描画リファレンス。 androidx.compose.animation / graphics API。 AnimatedVisibility, AnimatedContent, animate*AsState, Animatable, AnimationSpec, Canvas, DrawScope, Brush, Path, Color, Image。
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