Deploying a Top-100 Supercomputer for Large Parallel Workloads: the Niagara Supercomputer

Proceedings of the Practice and Experience in Advanced Research Computing on Rise of the Machines (learning) Pub Date : 2019-07-28 DOI:10.1145/3332186.3332195

Marcelo Ponce, R. van Zon, Scott A. Northrup, D. Gruner, Joseph M. Chen, Fatih Ertinaz, A. Fedoseev, L. Groer, Fei Mao, B. Mundim, M. Nolta, Jaime Pinto, M. Saldarriaga, Vladimir Slavnic, Erik Spence, Ching-Hsing Yu, W. Peltier

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引用次数: 117

Abstract

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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为大型并行工作负载部署百强超级计算机:尼亚加拉超级计算机

Niagara是目前加拿大学术界可以使用的最快的超级计算机。它于2018年初部署，从那时起一直为研究界服务。这个由多伦多大学拥有并由SciNet运营的同类60,000核集群旨在实现大型并行作业，其测量性能为每秒3.02千万亿次，在2018年6月的TOP500榜单中排名第53位。它旨在优化大规模运行的一系列科学代码的吞吐量、能源效率、网络和存储性能和容量。它取代了SciNet运行超过8年的两个系统，紧耦合系统(TCS)和通用集群(GPC)[13]。在本文中，我们描述了这两个系统的过渡过程，采购和部署过程，以及使Niagara成为加拿大独一无二的机器的独特功能。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Proceedings of the Practice and Experience in Advanced Research Computing on Rise of the Machines (learning)

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