Work Description

Title: 2017 Student Cluster Competition Open Access Deposited

https://creativecommons.org/licenses/by-sa/4.0/
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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.
Description
  • Download the software applications and data used for the 2017 Student Cluster Competition by clicking the URLs below: Model for Prediction Across Scales (MPAS); Born seismic imaging tool; MrBayes program for Bayesian inference and model choice; LAMMPS molecular dynamics (MD) code. Note that download times may vary.
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Citations to related material
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Last modified
  • 06/20/2024
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License
Date issued
  • 2018
To Cite this Work:
2017 Student Cluster Competition [Data set]. Indiana University - DataCORE.

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Files (Count: 7; Size: 105 KB)

Thumbnail Title Original Upload Last Modified File Size Access Actions
Born_SCC17.tgz 2024-07-22 2024-07-22 Open Access
manifest.txt 2024-08-16 2024-08-16 337 Bytes Open Access
README.txt 2024-08-16 2024-08-16 1.11 KB Open Access
SCC17applications-description.pdf 2024-08-16 2024-08-16 104 KB Open Access
LAMMPS_SCC17.tgz 2024-08-17 2024-08-17 Open Access
MPAS_SCC17.tgz 2024-08-17 2024-08-17 Open Access
MrBayes_SCC17.tgz 2024-08-17 2024-08-17 Open Access

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