Abstract | ||
---|---|---|
Containers are an emerging technology that holds promise for improving productivity and code portability in scientific computing. The authors examine Linux container technology for the distribution of a nontrivial scientific computing software stack and its execution on a spectrum of platforms from laptop computers through high-performance computing systems. For Python code run on large parallel c... |
Year | DOI | Venue |
---|---|---|
2017 | 10.1109/MCSE.2017.2421459 | Computing in Science & Engineering |
Keywords | DocType | Volume |
Containers,Software,Libraries,Runtime,Linux,Scientific computing,Object recognition | Journal | 19 |
Issue | ISSN | Citations |
6 | 1521-9615 | 4 |
PageRank | References | Authors |
0.49 | 5 | 4 |
Name | Order | Citations | PageRank |
---|---|---|---|
Jack S. Hale | 1 | 4 | 0.49 |
L Li | 2 | 37 | 1.78 |
Christopher N. Richardson | 3 | 4 | 1.16 |
Garth N. Wells | 4 | 202 | 20.08 |