Author

Hong-Fan Wu

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#machine learning Preprint Sep 2026

COMPASS-ABS: Reducing Fragmentation in Shared GPU Clusters for Deep Learning Training Workloads

SIF is introduced, a metric built on the notion of partial-nodes that is independent of historical workload knowledge that matches both theory and production and COMPASS-ABS is proposed, which employs the COMPact-ASSured (COMPASS) algorithm to confine the cluster state within a tight Anchor-Based Space (ABS).

Yu-Kai Zhou, Hong-Fan Wu · 0 citations

#machine learning Preprint Sep 2026

Quality-Constrained Routing over a Fixed Pool of Quantized Mixture-of-Experts Instances

This work introduces FWP (Fragility-Weighted Perplexity), computed from prompt tokens on a reference-instance prefill and calibrated to candidate-instance degradation, and yields a signed reduced-reward score that is KKT-consistent with the LP optimum under optimal prices and primal-feasible tie allocation.

Zheng-Hong Huang, Hong-Fan Wu, Ji-Heng Zhang · 0 citations