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Apple Silicon GPU コンピュート／数値計算リファレンス。MSL の kernel 関数属性・address space・ atomic/SIMD-group 関数、threadgroup sizing・argument buffer・indirect command buffer・ unified memory・GPU counters、MPS/MPSGraph（MPSMatrix, MPSNDArray, MPSNNGraph）、 MLX（mx.array, lazy evaluation, grad/vmap, mx.compile, mlx.nn, mlx.optimizers, distributed）。
npx skill4agent add fandhe-ai/agent-reference-skills apple-siliconskills/apple-silicon/
SKILL.md
references/
metal-compute/
README.md
compute-pass-encoding.md
threadgroup-sizing.md
compute-pipeline-configuration.md
indirect-command-buffers.md
indirect-compute-commands.md
gpu-counters.md
counter-sample-buffers.md
argument-buffers.md
unified-memory.md
msl/
README.md
data-types.md
address-spaces.md
function-qualifiers.md
argument-attributes.md
atomic-functions.md
simdgroup-functions.md
math-functions.md
numerical-compliance.md
mps/
README.md
mpskernel.md
mpsimage.md
image-filters.md
mpsmatrix.md
matrix-arithmetic.md
matrix-decomposition-solve.md
mpsndarray.md
mpsnngraph.md
cnn-kernels.md
mpsgraph.md
mpsgraph-tensor.md
mpsgraph-executable.md
mpsgraph-operations.md
ray-tracing.md
mlx/
README.md
array.md
lazy-evaluation.md
unified-memory-model.md
function-transforms.md
compilation.md
nn-module.md
optimizers.md
nn-layers.md
nn-losses-activations.md
indexing.md
saving-loading.md
random.md
linalg.md
devices-streams.md
memory-management.md
fast-custom-kernels.md
distributed.md
tree-utils.md
samples/
README.md
compute-kernel-dispatch.md
nonuniform-threadgroup-dispatch.md
shared-storage-mode-buffer.md
resource-group-argument-buffer.md
cpu-encoded-indirect-compute.md
blit-and-compute-single-pass.md
mpsgraph-matrix-multiplication.md
mpsgraph-training-loop.md
mps-image-filter.md
mlx-array-lazy-evaluation.md
mlx-unified-memory.md
mlx-mlp-training-loop.md
mlx-function-transforms.md
scripts/
README.md
toolchain-setup.md
metal-compile.md
metal-symbols.md
metal-binary-archives.md
metal-dynamic-libraries.md
metal-debug-env.md
metal-performance-hud.md
mlx-install.md
mlx-distributed.mdreferences/{category}/README.mdsamples/scripts/.mdMTLRenderCommandEncoderMTLRenderPipelineStateapple-graphicsMTLComputeCommandEncoder.mlmodelapple-ml| タスク | カテゴリ | 参照 README |
|---|---|---|
| compute pass のエンコーディング・threadgroup/grid サイズ計算・compute pipeline 設定を知りたい | metal-compute | references/metal-compute/README.md |
| argument buffer・indirect command buffer・GPU counter・unified memory (storage mode) を調べたい | metal-compute | references/metal-compute/README.md |
| MSL のデータ型・address space・kernel 関数属性・引数バインディング属性を調べたい | msl | references/msl/README.md |
| MSL の atomic 関数・SIMD-group/quad-group 関数・数学関数・数値精度 (IEEE 754) 準拠を調べたい | msl | references/msl/README.md |
| MPSKernel/MPSImage/MPSMatrix/MPSNDArray による画像フィルタ・行列演算・分解を調べたい | mps | references/mps/README.md |
| MPSGraph/MPSNNGraph によるグラフ構築・実行・CNN 推論・ray tracing を調べたい | mps | references/mps/README.md |
| MLX の array/dtype・lazy evaluation・indexing・保存/読み込みを調べたい | mlx | references/mlx/README.md |
| MLX の grad/vmap 等の関数変換・mx.compile・unified memory model・distributed を調べたい | mlx | references/mlx/README.md |
| mlx.nn のレイヤー/損失関数・mlx.optimizers・tree utils を調べたい | mlx | references/mlx/README.md |
| 典型的な使い方を知りたい（compute kernel dispatch, argument buffer, MPSGraph 学習ループ, MLX 学習ループ等） | samples | samples/README.md |
Metal Toolchain セットアップ・ | scripts | scripts/README.md |