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The compose-and-compress technique is introduced, which deletes the expensive middle layers of these products and replaces paths across the deleted bands with sound one-symbol shortcut transitions.
This paper presents Flow.zip, a backward-compatible header compression mechanism designed for existing data center networks that leverages a combination of last-hop network offload and MPLS support, both of which are ubiquitous in modern data center deployments.
PRED-MoE uses a lightweight predictor to assess which experts are most likely to be required for prefetching and ranks experts by their near-future activation likelihood for eviction, and indicates that it reduces the TPOT of vLLM and HuggingFace by up to 3.02× and 28.62× respectively.
The Entropy Constrained Adaptive Stochastic Quantization problem is formulated, which jointly selects adaptive quantization values to minimize MSE under an entropy budget and an unbiasedness constraint, and an iterative refinement procedure is provided for the approximation solution.
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