Deploying a Top-100 Supercomputer for Large Parallel Workloads: the Niagara Supercomputer
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Abstract (arXiv)
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). 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.
Key facts. Cited by 6 papers in the map (data through 7 Oct 2026). First posted on arXiv 31 Jul 2019.
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Citing papers per year: 2021: 2; 2022: 2; 2023: 1; 2024: 1.
6 papers.
- 2022Bayesian optimization with known experimental and design constraints for chemistry applicationscited by 11
- 2022Calibration and generalizability of probabilistic models on low-data chemical datasets with DIONYSUScited by 10
- 2023Using Diffusion Models to Generate Synthetic Labelled Data for Medical Image Segmentationcited by 10
- 2021Learning quantum dynamics with latent neural ODEscited by 4
- 2021Gemini: Dynamic Bias Correction for Autonomous Experimentation and Molecular Simulationcited by 2
- 2024Determination of Trace Organic Contaminant Concentration via Machine Classification of Surface-Enhanced Raman Spectracited by 0
- 2024Determination of Trace Organic Contaminant Concentration via Machine Classification of Surface-Enhanced Raman Spectra31 Jan 2024
- 2023Using Diffusion Models to Generate Synthetic Labelled Data for Medical Image Segmentation25 Oct 2023
- 2022Calibration and generalizability of probabilistic models on low-data chemical datasets with DIONYSUS3 Dec 2022
- 2022Bayesian optimization with known experimental and design constraints for chemistry applications29 Mar 2022
- 2021Learning quantum dynamics with latent neural ODEs20 Oct 2021
- 2021Gemini: Dynamic Bias Correction for Autonomous Experimentation and Molecular Simulation5 Mar 2021