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MonoMoE: An Efficient Fused Mega-kernel for Quantized MoE Decoding
Mixture-of-Experts (MoE) layers increase model capacity without proportionally increasing arithmetic, but their sparse expert computation is difficult to execute efficiently during autoregressive decode. Existing grouped and batched GEMMs are token-major: they construct expert-local token tiles and
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