Pipeline: 1. extract.py: Parses all 26 CCCL tuning_*.cuh → 26 YAML schemas in muh/schema/ 2. parse.py: .muh file parser with extends-inheritance + schema validation 3. gen_yaml.py: .muh → computility-run.yaml (verified: matches competition reference) 4. gen_patch.py: .muh → vllm kernel unified diff patches (6 algorithm mappings) 5. baseline.muh: Competition reference config, all tuning values pending BI-V100 benchmarks Schemas extracted: 26 algorithms, 8-19 params each, SM75/80/90/100 reference tunings Priority mapping: reduce→attention, topk→sampling, scan→paged_attention, transform→activations, batch_memcpy→KV_cache, for→RoPE Tested: extract→parse→validate→gen_yaml→gen_patch full pipeline passes
33 lines
572 B
YAML
33 lines
572 B
YAML
# muh schema index — all extracted CCCL tuning algorithms
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algorithms:
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- adjacent_difference
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- batch_memcpy
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- batched_topk
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- find
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- find_bound_sorted_values
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- for
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- histogram
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- merge
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- merge_sort
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- radix_sort
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- reduce
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- reduce_by_key
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- rle_encode
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- rle_non_trivial_runs
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- scan
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- scan_by_key
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- segmented_radix_sort
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- segmented_reduce
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- segmented_scan
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- segmented_sort
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- select_if
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- three_way_partition
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- topk
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- transform
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- transform_tile
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- unique_by_key
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total: 26
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source: cccl_upstream/cub/cub/device/dispatch/tuning/
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