NanoCP: Taming Load Imbalance in Data-Expert Parallel Decoding under Variable-Length Workloads

arXiv:2605.21100 · cs.DC · Submitted 2026-05-20 · Read on arXiv

cs.DC

Submitted: 2026-05-20

Updated: 2026-10-21

Terminology

• KV cache — 5× in this paper · explained in 4 episodes
• Mixture-of-Experts (MoE) — 1× in this paper · explained in 11 episodes
• Mixture-of-Experts (MoE) Models — 1× in this paper · explained in 3 episodes

Related papers

• iScheduler: Reinforcement Learning-Driven Continual Optimization for Large-Scale Resource Investment Problems
• Load Balancing with Evolving Workloads in Large-Scale Language Model Serving
• Dooly: Configuration-Agnostic, Redundancy-Aware Profiling for LLM Inference Simulation
• SAMM: Sharded Automated Market Maker
• InferScale: GPU-Native KV Injection for Personalized LLM Serving
• Vigil: Accountable Liveness against Selective Silence