3 papers
cs.DC2026
MARS: A Monte Carlo Tree Search-based Adaptive and Responsive Scheduler
Yash Kurkure, Yihe Zhang, Zhiling Lan +1
Modern High Performance Computing systems depend on static heuristics and manual administration for job scheduling and reservation management. Deep Reinforcement Learning (DRL) has…
cs.DC2025
A Real-Time Digital Twin for Adaptive Scheduling
Yihe Zhang, Yash Kurkure, Yiheng Tao +2
High-performance computing (HPC) workloads are becoming increasingly diverse, exhibiting wide variability in job characteristics, yet cluster scheduling has long relied on static,…
cs.DB2025
Faster Algorithms for Fair Max-Min Diversification in
Yash Kurkure, Miles Shamo, Joseph Wiseman +2
The task of extracting a diverse subset from a dataset, often referred to as maximum diversification, plays a pivotal role in various real-world applications that have far-reaching…