37 citations · 155 across the 31 of their papers we have counts for
4 papers · 1 filter
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…
Toward Real-time Analysis of Experimental Science Workloads on Geographically Distributed Supercomputers
Michael Salim, Thomas Uram, J. Taylor Childers +2
Massive upgrades to science infrastructure are driving data velocities upwards while stimulating adoption of increasingly data-intensive analytics. While next-generation exascale s…
BFTrainer: Low-Cost Training of Neural Networks on Unfillable Supercomputer Nodes
Zhengchun Liu, Rajkumar Kettimuthu, Michael E. Papka +1
Supercomputer FCFS-based scheduling policies result in many transient idle nodes, a phenomenon that is only partially alleviated by backfill scheduling methods that promote small j…
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…