Work Description

Title: 2015 Student Cluster Competition Open Access Deposited

https://creativecommons.org/licenses/by-sa/4.0/
Attribute Value
Abstract
  • The Student Cluster Competition is an HPC multi-disciplinary experience integrated within the HPC community’s biggest gathering, the Supercomputing Conference. The competition is a microcosm of a modern HPC center that teaches and inspires students to pursue careers in the field. It demonstrates the breadth of skills, technologies and science that it takes to build, maintain and utilize a supercomputer. In this real-time, non-stop, 48-hour challenge, teams of undergraduate and/or high school students assemble a small cluster on the exhibit floor and race to complete a real-world workload across a series of applications and impress HPC industry judges. For more information:  http://studentclustercompetition.us/index.html.
Description
  • Download the software applications used for the 2015 Student Cluster Competition by clicking the URLs below: HPC Repast (4 MB); MILC (2 GB); Trinity (64 GB); WRF (5 GB). Note that download times may vary and that due to its size the Trinity file could take several hours.
Depositor
Citations to related material
Resource type
Last modified
  • 06/20/2024
Language
License
Date issued
  • 2017-01
To Cite this Work:
2015 Student Cluster Competition [Data set]. Indiana University - DataCORE.

Relationships

Files (Count: 7; Size: 34.7 KB)

Thumbnail Title Original Upload Last Modified File Size Access Actions
HPCRepast_SCC15.tgz 2024-07-20 2024-07-20 Open Access
README.txt 2024-08-16 2024-08-16 832 Bytes Open Access
SCC15Applications.pdf 2024-08-16 2024-08-16 33.6 KB Open Access
SCC15_manifest.txt 2024-08-16 2024-08-16 365 Bytes Open Access
MILC_SCC15.tgz 2024-08-17 2024-08-17 Open Access
Trinity_SCC15.tgz 2024-08-17 2024-08-17 Open Access
WRF_SCC15.tgz 2024-08-17 2024-08-17 Open Access

Download All Files

Some files in this dataset must be individually downloaded, and will not be included in the zip download:
Files can be downloaded individually in the "Files" panel above.

Best for data sets < 3 GB. Downloads all files plus metadata into a zip file.