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mit-han-lab

@mit-han-lab source repo

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• 2 skills
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• 15 hours ago last updated

1. ▌
   Kernelwiki · mit-han-lab bundle

   Use when the user asks about optimizing NVIDIA Blackwell (SM100, B200) or Hopper (SM90, H100) GPU kernels — tcgen05/TMEM/CLC/NVFP4/2-SM cooperative, warp specialization, FlashAttention-4, DeepGEMM, FlashMLA, MoE, grouped GEMM, CuTe-DSL/PTX/Triton on Blackwell, or wants concrete PR references from CUTLASS/SGLang/vLLM/FlashInfer/PyTorch. Do NOT use for generic CUDA Q&A that is not Blackwell/Hopper-specific, host-side framework integration, or distributed systems (DeepEP/EPLB/DualPipe).
   0 installs
2. ▌
   Ncu Report Skill · mit-han-lab bundle

   Profile CUDA kernels with Nsight Compute on B200 / sm_100. Use when the user asks to profile a kernel, analyze its performance, diagnose bottlenecks, read an ncu report, or write an optimization plan — including variants in Chinese ("profile 一下", "为什么慢", "ncu 报告").
   0 installs