specific method · filed under inference & serving
KDA algorithm–system co-design
A KDA systems approach combining fused kernels, context parallelism, and state-aware prefix caching.
Also called systems co-design for KDA.
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For systems co-design for KDA, we develop fused kernels, KDA Context Parallelism, and state-aware prefix caching to make KDA efficient within devices, across devices, and across requests.
usedsoftware implementationin Kimi K3Moonshot AI
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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