activity
20202024
most citedScheduling Beyond CPUs for HPC

37 citations · 112 across the 10 of their papers we have counts for

collaborators

10 papers

cs.NI2024★ 1 cited

Modeling and Analysis of Application Interference on Dragonfly+

Yao Kang, Xin Wang, Neil McGlohon +3

Dragonfly class of networks are considered as promising interconnects for next-generation supercomputers. While Dragonfly+ networks offer more path diversity than the original Drag…

cs.DC2024★ 13 cited

Union: An Automatic Workload Manager for Accelerating Network Simulation

Xin Wang, Misbah Mubarak, Yao Kang +2

With the rapid growth of the machine learning applications, the workloads of future HPC systems are anticipated to be a mix of scientific simulation, big data analytics, and machin…

cs.NI2024★ 25 cited

Q-adaptive: A Multi-Agent Reinforcement Learning Based Routing on Dragonfly Network

Yao Kang, Xin Wang, Zhiling Lan

High-radix interconnects such as Dragonfly and its variants rely on adaptive routing to balance network traffic for optimum performance. Ideally, adaptive routing attempts to forwa…

cs.DC2024★ 15 cited

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…

cs.NI2024★ 7 cited

Study of Workload Interference with Intelligent Routing on Dragonfly

Yao Kang, Xin Wang, Zhiling Lan

Dragonfly interconnect is a crucial network technology for supercomputers. To support exascale systems, network resources are shared such that links and routers are not dedicated t…

cs.DC2021

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…