Application Skeleton: Generating Synthetic Applications for Infrastructure Research

Python C Submitted 11 May 2016Published 11 May 2016
Review

Editor: @arfon (all papers)
Reviewers: @krother (all reviews)

Authors

Zhao Zhang (0000-0001-5921-0035), Daniel S. Katz (0000-0001-5934-7525), Andre Merzky (0000-0002-7228-4327), Matteo Turilli (0000-0003-0527-1435), Shantenu Jha (0000-0002-5040-026X), Yadu Nand (0000-0002-9162-6003)

Citation

Zhang et al, (2016), Application Skeleton: Generating Synthetic Applications for Infrastructure Research, Journal of Open Source Software, 1(1), 17, doi:10.21105/joss.00017

@article{Zhang2016, doi = {10.21105/joss.00017}, url = {https://doi.org/10.21105/joss.00017}, year = {2016}, publisher = {The Open Journal}, volume = {1}, number = {1}, pages = {17}, author = {Zhao Zhang and Daniel S. Katz and Andre Merzky and Matteo Turilli and Shantenu Jha and Yadu Nand}, title = {Application Skeleton: Generating Synthetic Applications for Infrastructure Research}, journal = {Journal of Open Source Software} }
Copy citation string · Copy BibTeX  
Tags

computational science data science application modeling system modeling performance modeling parallel and distributed systems

Altmetrics
Markdown badge

 

License

Authors of JOSS papers retain copyright.

This work is licensed under a Creative Commons Attribution 4.0 International License.

Creative Commons License

Table of Contents
Public user content licensed CC BY 4.0 unless otherwise specified.
ISSN 2475-9066