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project_6/cccl_upstream/docs/cudax/stf/images/dag-sections.dot
muh-bot 2a7ca101d7 feat(cccl): integrate missing CCCL directories — python/, ci/, .agent/, docs/, test/
Sparse-checkout from NVIDIA/cccl main branch to complete cccl_upstream:

Added:
- python/cuda_cccl/ (226 files) — Python bindings for device-level algorithms
  Critical for muh toolchain: cuda.compute.reduce_into, scan, radix_sort, etc.
  Includes 204 .py files with full test coverage for all 27 algorithms
- ci/ (163 files) — Build/test infrastructure
  build_cub.sh, test_cub.sh, build_and_test_targets.sh, matrix.yaml
  Directly maps to our [INFRA-CI] and [INFRA-BUILD] items
- .agent/skills/ (7 files) — NVIDIA's own agent skills for CCCL
  cccl-style/SKILL.md, cccl-test/SKILL.md, sass-diff/SKILL.md
- docs/ (491 files) — Official CCCL documentation
  CI references, CMake guides, Python compute docs, libcudacxx PTX docs
- test/ (12 files) — Top-level integration tests (cuda_smoke, stdpar)
- Root configs: .clang-format, .clang-tidy, CONTRIBUTING.md, pyproject.toml
- CLAUDE.md symlink → AGENTS.md (NVIDIA's standard)

cccl_upstream now mirrors full NVIDIA/cccl structure:
  Before: 42M (cub + thrust + libcudacxx + cudax + c + examples + benchmarks)
  After:  53M (+python +ci +docs +.agent +test +configs)

This completes the CCCL base needed for:
- [muh-bench] items: ci/util/build_and_test_targets.sh for targeted builds
- [CCCL-verify] items: python/cuda_cccl/tests/ as reference implementations
- [CCCL-test] items: ci/test_cub.sh, ci/test_thrust.sh
- Agent workflow: .agent/skills/ for consistent style and test patterns
2026-08-07 02:34:33 +00:00

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digraph {
"NODE_23" [style="filled" fillcolor="red" label="task fence"]
subgraph cluster_section_1 {
subgraph cluster_section_2 {
subgraph cluster_section_3 {
color=black;
style=dashed
label="baz"
"NODE_7"
"NODE_5"
} // end subgraph cluster_section_3
subgraph cluster_section_4 {
color=black;
style=dashed
label="baz"
"NODE_11"
"NODE_9"
} // end subgraph cluster_section_4
color=black;
style=dashed
label="bar"
"NODE_3"
} // end subgraph cluster_section_2
subgraph cluster_section_5 {
subgraph cluster_section_6 {
color=black;
style=dashed
label="baz"
"NODE_17"
"NODE_15"
} // end subgraph cluster_section_6
subgraph cluster_section_7 {
color=black;
style=dashed
label="baz"
"NODE_21"
"NODE_19"
} // end subgraph cluster_section_7
color=black;
style=dashed
label="bar"
"NODE_13"
} // end subgraph cluster_section_5
color=black;
style=dashed
label="foo"
} // end subgraph cluster_section_1
"NODE_15" -> "NODE_17"
"NODE_9" -> "NODE_11"
"NODE_11" -> "NODE_15"
"NODE_13" -> "NODE_17"
"NODE_19" -> "NODE_21"
"NODE_11" -> "NODE_13"
"NODE_7" -> "NODE_9"
"NODE_5" -> "NODE_7"
"NODE_17" -> "NODE_19"
"NODE_3" -> "NODE_7"
"NODE_21" -> "NODE_23"
"NODE_21" [style="filled" fillcolor="white" label="t3\nA(rw)(0) \nB(read)(0) \nC(read)(0) "]
"NODE_19" [style="filled" fillcolor="white" label="t2\nA(read)(0) \nC(rw)(0) "]
"NODE_17" [style="filled" fillcolor="white" label="t3\nA(rw)(0) \nB(read)(0) \nC(read)(0) "]
"NODE_15" [style="filled" fillcolor="white" label="t2\nA(read)(0) \nC(rw)(0) "]
"NODE_13" [style="filled" fillcolor="white" label="t1\nA(read)(0) \nB(rw)(0) "]
"NODE_11" [style="filled" fillcolor="white" label="t3\nA(rw)(0) \nB(read)(0) \nC(read)(0) "]
"NODE_9" [style="filled" fillcolor="white" label="t2\nA(read)(0) \nC(rw)(0) "]
"NODE_7" [style="filled" fillcolor="white" label="t3\nA(rw)(0) \nB(read)(0) \nC(read)(0) "]
"NODE_5" [style="filled" fillcolor="white" label="t2\nA(read)(0) \nC(rw)(0) "]
"NODE_3" [style="filled" fillcolor="white" label="t1\nA(read)(0) \nB(rw)(0) "]
}