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- W3198232371 abstract "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 resources, memory resources (e.g., on-chip and off-chip RAM, external RAM/NVRA), network resources, and possibly other resources. Job schedulers play a crucial role in efficient use of resources. However, traditional job schedulers are single-objective and fail to efficient use of other resources. In this paper, we propose ROME, a novel multi-dimensional job scheduling framework to explore potential tradeoffs among multiple resources and provides balanced scheduling decision. Our design leverages genetic algorithm as the multi-dimensional optimization engine to generate fast scheduling decision and to support effective resource utilization." @default.
- W3198232371 created "2021-09-13" @default.
- W3198232371 creator A5070703870 @default.
- W3198232371 date "2021-08-18" @default.
- W3198232371 modified "2023-09-27" @default.
- W3198232371 title "ROME: A Multi-Resource Job Scheduling Framework for Exascale HPC Systems." @default.
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