Author

Xiang-Ke Liao

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Preprint Oct 2026

PDScope: Breaking the Prefill-Decode Seesaw for Memory-Bound MoE Inference

PDScope achieves 2.5-10.3x higher prefill throughput and 2.1-6.1x higher decode throughput than existing systems, showing that phase-aware co-design unlocks efficient MoE inference under memory constraints and extends naturally to multi-batch settings.

En-Da Yu, De-Zun Dong, Zhao-Ning Zhang et al. · 0 citations

#machine learning Preprint Sep 2026

Physically Partitioned KVCache Format for CPU--GPU Load Balancing in MoE Inference

InplaceKVCache is proposed, the first KVCache abstraction whose format fixes each byte's physical residency at write time, so that the CPU--GPU load balance can be adjusted without moving data after placement, turning load balancing into pure scheduling.

En-Da Yu, De-Zun Dong, Xiang-Ke Liao · 0 citations