specific method · filed under inference & serving
WarpDecode token-centric routed-expert decoding kernel
A token-centric MoE decoding design in which each warp handles one output neuron and streams its associated weights from memory.
Also called token-centric design of WarpDecode.
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Evidence
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We instead build the MoE decoding kernel upon the token-centric design of WarpDecode [12], in which each warp is responsible for one output neuron and streams the associated weights directly from memory.
coreinference servingin Kimi K3
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Other methods under inference & serving :: inference kernel.
Batch-invariant deterministic kernelsCUDA GraphCUDA Graph capture size reductionFlashAttention 3Kernel fusionMoE-side chunkingSynchronization-free static-shape MoE executionTensorRT-LLM multi-head attention backendAvoiding split-KDeepGEMM-based batch-invariant matrix multiplicationDistributed shared memory for cross-SM attention data exchangeDual-kernel batch-invariant attention decodingDynamic load balancingExp-free TopK kernelExpert-optimized Triton kernelsFA4 sheared-bias attention kernelFlashAttentionFlashAttention 4FlashKDAFP8 GEMMFused AttnRes merge and RMSNorm kernelFused latent down-projection and MoE-router GEMMFused mHC kernelsFused QSA kernel