37 citations · 83 across the 9 of their papers we have counts for
7 papers · 1 filter
MRSch: Multi-Resource Scheduling for HPC
Boyang Li, Yuping Fan, Matthew Dearing +4
Emerging workloads in high-performance computing (HPC) are embracing significant changes, such as having diverse resource requirements instead of being CPU-centric. This advancemen…
Job Scheduling in High Performance Computing
Yuping Fan
The ever-growing processing power of supercomputers in recent decades enables us to explore increasing complex scientific problems. Effective scheduling these jobs is crucial for i…
Hybrid Workload Scheduling on HPC Systems
Yuping Fan, Paul Rich, William Allcock +2
Traditionally, on-demand, rigid, and malleable applications have been scheduled and executed on separate systems. The ever-growing workload demands and rapidly developing HPC infra…
ROME: A Multi-Resource Job Scheduling Framework for Exascale HPC Systems
Yuping Fan
High-performance computing (HPC) is undergoing significant changes. Next generation HPC systems are equipped with diverse global and local resources, such as I/O burst buffer resou…
DRAS-CQSim: A Reinforcement Learning based Framework for HPC Cluster Scheduling
Yuping Fan, Zhiling Lan
For decades, system administrators have been striving to design and tune cluster scheduling policies to improve the performance of high performance computing (HPC) systems. However…
Deep Reinforcement Agent for Scheduling in HPC
Yuping Fan, Zhiling Lan, Taylor Childers +3
Cluster scheduler is crucial in high-performance computing (HPC). It determines when and which user jobs should be allocated to available system resources. Existing cluster schedul…
Scheduling Beyond CPUs for HPC
Yuping Fan, Zhiling Lan, Paul Rich +4
High performance computing (HPC) is undergoing significant changes. The emerging HPC applications comprise both compute- and data-intensive applications. To meet the intense I/O de…