Name
Title | ||
|---|---|---|
Enabling Cloud-Based Computational Fluid Dynamics With a Platform-as-a-Service Solution. |
Abstract | ||
|---|---|---|
Computational fluid dynamics (CFD) is widely used in manufacturing and engineering from product design to testing. CFD requires intensive computational power and typically needs high-performance computing to reduce potentially long experimentation times. Dedicated high-performance computing systems are often expensive for small-to-medium enterprises (SMEs). Cloud computing claims to enable low-cos... |
Year | DOI | Venue |
|---|---|---|
2019 | 10.1109/TII.2018.2849558 | IEEE Transactions on Industrial Informatics |
Keywords | DocType | Volume |
Cloud computing,Computational modeling,High performance computing,Computational fluid dynamics,Parallel processing | Journal | 15 |
Issue | ISSN | Citations |
1 | 1551-3203 | 0 |
PageRank | References | Authors |
0.34 | 0 | 8 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| S. J.E. Taylor | 1 | 551 | 67.71 |
| Anastasia Anagnostou | 2 | 68 | 12.07 |
| Tamas Kiss | 3 | 159 | 17.82 |
| Gábor Terstyánszky | 4 | 140 | 15.23 |
| Péter Kacsuk | 5 | 1060 | 127.43 |
| Nicola Fantini | 6 | 19 | 2.75 |
| Djamel Lakehal | 7 | 7 | 2.18 |
| Joris Costes | 8 | 0 | 0.34 |