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Preprint Sep 2026

MANTA: Machine Learning Augmented Tiering Advisor

Memory tiering has been used to expand memory capacity, particularly in datacenters, by combining fast DRAM with slower tiers, including CXL-attached memory. Its effectiveness depends on keeping useful pages in the fast tier, but existing heuristic policies can lag behind changing hot sets in phased or bursty workloads...

Johannes Freischuetz, Kiet Pham, Sujay Yadalam et al. · 0 citations
#machine learning Preprint Jun 2026

TeDiServe: High SLO Attainment Serving for Diffusion Language Models

TeDiServe enables deadline-aware scheduling and adaptive load control through confidence-threshold adjustment, and dynamically reconfigures the cluster by solving a quality-aware optimization problem, while explicitly modeling the step-level heterogeneity introduced by approximate KV caching.

Tzu-Tao Chang, Benjamin Yuanyang Hong, Kiet C. Pham et al. · 1 citation

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