v0.2.6: Multi-LLM async execution, FP16/BF16 TensorCore, LLM support#66

Merged

m96-chan merged 10 commits intomainfrom

feature/v0.2.6-fp16-tensorcore

Dec 15, 2025

Commits on Dec 15, 2025

feat(fp16-bf16): implement TensorCore GEMM with mma.sync.m16n8k16

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docs(readme): add v0.2.6 release notes and update performance tables

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feat(fp16-bf16): add TC_GENERIC kernel for flexible matrix sizes

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refactor(ops): modularize basic.cu into focused operation modules

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v0.2.6: Multi-LLM async execution, FP16/BF16 TensorCore, LLM support

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feat(matmul): integrate CUTLASS as default GEMM backend

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ci: add submodules checkout for CUTLASS

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docs(readme): update for CUTLASS backend

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docs: clarify Multi-LLM concurrent execution (not speedup)

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chore: remove PyTorch-based Multi-LLM demo

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