Abstract | ||
---|---|---|
In a new effort to make our research transparent and reproducible by others, we developed a workflow to run and share computational studies on the public cloud Microsoft Azure. It uses Docker containers to create an image of the application software stack. We also adopt several tools that facilitate creating and managing virtual machines on compute nodes and submitting jobs to these nodes. The con... |
Year | DOI | Venue |
---|---|---|
2019 | 10.1109/MCSE.2019.2941702 | Computing in Science & Engineering |
Keywords | Field | DocType |
Cloud computing,Application software,Research and development,Software packages,Computational modeling,Virtual machining,Runtime environment,Benchmark testing | Virtual machine,Artificial intelligence,Computational fluid dynamics,Application software,Workflow,Machine learning,Mathematics,Cloud computing,Distributed computing,Computation | Journal |
Volume | Issue | ISSN |
22 | 1 | 1521-9615 |
Citations | PageRank | References |
1 | 0.39 | 3 |
Authors | ||
2 |
Name | Order | Citations | PageRank |
---|---|---|---|
Olivier Mesnard | 1 | 1 | 0.39 |
L. A. Barba | 2 | 74 | 8.02 |