bailatrix / xdmod_performance

Research with SDSC for XDMoD performance // Leveraging Data Streams to Predict Performance (PEARC19)

Geek Repo:Geek Repo

Github PK Tool:Github PK Tool

Continuing research project (as of 09/25/2020) supported by San Diego Supercomputer Center and presented as a poster at PEARC19.

Uses xdmod stats collected by XSEDE to analyze job and host behavior to support effective use of high performance computing resources.

Please contact m.bailey.passmore@gmail.com with questions or comments. 

About

Research with SDSC for XDMoD performance // Leveraging Data Streams to Predict Performance (PEARC19)


Languages

Language:Jupyter Notebook 94.2%Language:Python 3.9%Language:TeX 1.9%