Audit results:
- 20/20 files had IDENTICAL if-branch and fallback (dead code)
- 787 lines total, 5% coverage of 15116 lines in CCCL originals
- No type specializations, no offset_size branches, no benchmark data
- 0 of 20 algorithms appear on vllm's Qwen3.6 inference hot path
The 6 headers that remain (reduce, topk, scan, transform, batch_memcpy, for)
are the only algorithms that execute during vllm decode/prefill/cache operations.
These 6 have real type specializations and CCCL SM100 reference values.
CCCL has 26 algorithms because it's a general-purpose library.
muh targets one workload: Qwen3.6-35B-A3B on 4× BI-V100.
Covering algorithms that don't execute is worse than not covering them —
it creates the illusion of completeness.
Problems fixed:
1. gen_patch.py was reading .muh YAML (all nulls) instead of C++ headers.
Now it parses bi100_* structs directly from tuning_*.cuh via regex,
extracts constexpr values, and maps them to vllm injection points.
Verified: 11 patches generated from 6 algorithms.
2. C++ headers had no build system or tests.
Added CMakeLists.txt (header-only library target) and compile_test.cpp.
Verified: g++ -std=c++17 compiles all headers, 17/17 runtime checks pass.
Also added cuda_compile_test.cu for when nvcc is available.
3. baseline.muh had a tuning section full of nulls duplicating C++ values.
Stripped to vllm launch config only. Tuning values live exclusively
in muh/include/muh/tuning/tuning_*.cuh bi100_* structs.
4. Fixed constexpr goto in tuning_scan.cuh (C++17 doesn't allow goto in
constexpr; replaced with early-return + default: break pattern).
Data flow is now:
tuning_*.cuh (bi100_* constexpr) ──→ gen_patch.py ──→ vllm patches
baseline.muh (launch config) ──→ gen_yaml.py ──→ computility-run.yaml
compile_test.cpp ──→ g++/nvcc ──→ verify values are real
This document allows any new Claude session to pick up exactly where
the current session left off. Contains:
- Competition rules and scoring formula
- Testing pipeline (how the platform evaluates submissions)
- muh language architecture (3-layer: schema → config → codegen)
- All completed work (issues #1-#25)
- What's next
- Key file paths and parameters