Proceedings of the Practice and Experience in Advanced Research Computing on Rise of the Machines (learning) · 2019 · 171 citations · 10 references
ComputingComputer ScienceHigh-performance ComputingCluster ComputingParallel ComputingScientific ComputingCluster ArchitectureCpu SchedulingDistributed ComputingDistributed Systems PerformanceHigh-throughput ComputingParallel Computing SystemsDeploymentDeployment PlanningEnergy-efficient Parallel ComputingHigh-performance Computing PerformanceHigh-performance Computing SystemsParallel Job SchedulingStorage PerformanceSupercomputer Architecture
Niagara is currently the fastest supercomputer accessible to academics in Canada. It was deployed at the beginning of 2018 and has been serving the research community ever since. This homogeneous 60,000-core cluster, owned by the University of Toronto and operated by SciNet, was intended to enable large parallel jobs and has a measured performance of 3.02 petaflops, debuting at #53 in the June 2018 TOP500 list. It was designed to optimize throughput of a range of scientific codes running at scale, energy efficiency, and network and storage performance and capacity. It replaced two systems that SciNet operated for over 8 years, the Tightly Coupled System (TCS) and the General Purpose Cluster (GPC) [13]. In this paper we describe the transition process from these two systems, the procurement and deployment processes, as well as the unique features that make Niagara a one-of-a-kind machine in Canada.
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