Illinois Data Bank - Dataset

Monet - Blue Waters Network Dataset
Cite this dataset:
Saurabh, Jha; Archit, Patke; Mike, Showerman; Jeremy, Enos; Greg, Bauer; Zbigniew, Kalbarczyk; Ravishankar, Iyer; William , Kramer (2019): Monet - Blue Waters Network Dataset. University of Illinois at Urbana-Champaign. https://doi.org/10.13012/B2IDB-2921318_V1
Dataset Description

This dataset contains collected and aggregated network information from NCSA’s Blue Waters system, which is comprised of 27,648 nodes connected via Cray Gemini* 3D torus (dimension 24x24x24) interconnect, from Jan/01/2017 to May/31/2017. Network performance counters for links are exposed via Cray's gpcdr (https://github.com/ovis-hpc/ovis/wiki/gpcdr-kernel-module) kernel module. Lightweight Distributed Metric Service ([LDMS](https://github.com/ovis-hpc/ovis)) is used to sampled the performance counters at 60 second intervals. Please read "README.md" file.

Acknowledgement:
This dataset is collected as a part of the Blue Waters sustained-petascale computing project, which is supported by the National Science Foundation and the state of Illinois. Blue Waters is a joint effort of the University of Illinois at Urbana-Champaign and its National Center for Supercomputing Applications.
Subject Technology and Engineering
Keywords HPC; Interconnect; Network; Congestion; Blue Waters; Dataset
License See license.txt file in dataset.
Funder U.S. Department of Energy (DOE)-Grant:2015-02674
Funder U.S. National Science Foundation (NSF)-Grant:15-13051
Corresponding Creator Jha Saurabh
Downloaded 1004 times
Version DOI Comment Publication Date
1 10.13012/B2IDB-2921318_V1 2019-10-05

Open in Globus File Manager what's Globus?
4.27 KB File
834 Bytes File
1.57 KB File
140 GB File

Contact the Research Data Service for help interpreting this log.

RelatedMaterial update: {"note"=>[nil, ""], "feature"=>[nil, false]} 2024-01-26T17:19:05Z
RelatedMaterial update: {"datacite_list"=>["IsSupplementTo", "IsSupplementedBy"], "note"=>[nil, ""], "feature"=>[nil, false]} 2024-01-26T17:19:04Z
RelatedMaterial create: {"material_type"=>"Final Report", "availability"=>nil, "link"=>"https://doi.org/10.2172/1615150", "uri"=>"10.2172/1615150", "uri_type"=>"DOI", "citation"=>"Kramer, William, Jha, Saurabh, Brandt, James, & Gentile, Ann. Final Report - Holistic Measurement Driven Resilience: Combining Operational Fault and Failure Measurements and Fault Injection for Quantifying Fault Detection, Propagation and Impact. United States. doi:10.2172/1615150.\r\n", "dataset_id"=>1041, "selected_type"=>"Other", "datacite_list"=>"IsSupplementTo"} 2020-05-11T00:22:48Z
Dataset update: {"subject"=>["", "Technology and Engineering"]} 2019-11-19T19:40:05Z