3 papers
cs.LG2026
AutoScout: Structured Optimization for Automating ML System Configuration
Jimmy Shong, Yuhan Ding, Yihan Jiang +5
Machine learning (ML) systems expose a rapidly expanding configuration space spanning model-parallelism strategies, communication optimizations, and low-level runtime parameters. E…
cs.SE2026
BASE: Burst-Adaptive Autoscaling via Stacked Ensembles for SLO Assurance and Cost Efficiency
Chunyang Meng, Haogang Tong, Tianyang Wu +3
Autoscaling is a technology that automatically scales resources for applications without human intervention to ensure runtime Quality of Service (QoS) while reducing costs. However…
cs.PF2025
Arm DynamIQ Shared Unit and Real-Time: An Empirical Evaluation
Ashutosh Pradhan, Daniele Ottaviano, Yi Jiang +4
The increasing complexity of embedded hardware platforms poses significant challenges for real-time workloads. Architectural features such as Intel RDT, Arm QoS, and Arm MPAM are e…