37 citations · 61 across the 6 of their papers we have counts for
7 papers
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…
Workflows Community Summit: Tightening the Integration between Computing Facilities and Scientific Workflows
Rafael Ferreira da Silva, Kyle Chard, Henri Casanova +11
The importance of workflows is highlighted by the fact that they have underpinned some of the most significant discoveries of the past decades. Many of these workflows have signifi…
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…
The Petascale DTN Project: High Performance Data Transfer for HPC Facilities
Eli Dart, William Allcock, Wahid Bhimji +13
The movement of large-scale (tens of Terabytes and larger) data sets between high performance computing (HPC) facilities is an important and increasingly critical capability. A gro…
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…